Demand Fluctuation Alerts
This feature sends real-time notifications to inventory managers about significant changes in demand trends, helping them quickly adjust inventory levels. By staying informed about sudden spikes or drops in demand, users can take proactive measures to prevent stockouts or excess inventory, ensuring optimal stock management.
Requirements
Threshold-Based Alert System
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User Story
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As an inventory manager, I want to set customizable demand thresholds for my products so that I can receive alerts when demand fluctuates significantly and make timely adjustments to my inventory levels.
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Description
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The Threshold-Based Alert System allows users to set specific demand thresholds for different inventory items. When demand fluctuates beyond the predetermined levels, real-time alerts will be sent to inventory managers. This functionality empowers users to take swift action in adjusting inventory levels, thus minimizing the risks of stockouts or excess inventory. By integrating seamlessly with existing stock monitoring systems in InvenTech, this feature not only enhances operational efficiency but also supports data-driven decision making in inventory management.
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Acceptance Criteria
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Threshold Alert Activation for High Demand
Given an inventory item with a set demand threshold, when actual demand exceeds the threshold, then an alert should be triggered and sent to the inventory manager within 5 minutes.
Threshold Alert Activation for Low Demand
Given an inventory item with a set demand threshold, when actual demand falls below the threshold, then an alert should be triggered and sent to the inventory manager within 5 minutes.
Customizable Threshold Settings
Given an inventory manager, when they access the threshold settings for a specific item, then they should be able to set, edit, and save custom demand thresholds without any errors.
Integration with Existing Stock Monitoring Systems
Given that the Threshold-Based Alert System is integrated with existing stock monitoring systems, when demand thresholds are set, then alerts should function seamlessly across platforms without lag or data mismatch.
User Notification Preferences
Given an inventory manager, when they configure their notification preferences, then they should be able to select channels (e.g., email, SMS, in-app) and receive alerts through the chosen methods without issues.
Historical Data for Alert Analysis
Given an inventory manager, when they review historical alerts for an item, then they should see a comprehensive log detailing past alerts, including timestamps and demand levels that triggered the alerts.
Response Time Validation of Alerts
Given an alert is triggered, when the inventory manager checks the alert log, then the alert response time should not exceed 5 minutes from the moment the demand threshold was exceeded or undershot.
Integration with Communication Platforms
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User Story
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As an inventory manager, I want to receive demand fluctuation alerts via Slack so that I can respond to changes quickly and collaborate efficiently with my team regarding inventory adjustments.
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Description
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This requirement entails the integration of the Demand Fluctuation Alerts feature with popular communication platforms such as Slack, Microsoft Teams, or email systems. This functionality ensures that alerts are delivered through channels familiar to users, facilitating quick responses to demand changes. The integration will enhance user engagement by allowing inventory managers to receive alerts in real-time, leading to faster decision-making and improved inventory responsiveness. It also allows for better collaboration among team members involved in inventory management.
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Acceptance Criteria
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Integration of Demand Fluctuation Alerts with Slack for Real-Time Notifications
Given an inventory manager is actively monitoring demand trends on the InvenTech platform, when a significant demand fluctuation occurs, then a real-time notification should be sent to the designated Slack channel with relevant details of the demand change.
Integration of Demand Fluctuation Alerts with Microsoft Teams for Real-Time Notifications
Given an inventory manager is logged into Microsoft Teams, when a noteworthy demand fluctuation is detected in the InvenTech platform, then a notification should appear in the specified Microsoft Teams channel promptly.
Integration of Demand Fluctuation Alerts via Email Notifications
Given an inventory manager has configured their email preferences within the InvenTech platform, when there is a significant change in demand levels, then an email alert must be sent to the user's registered email address containing details of the alert.
User Customization of Notification Channels for Demand Alerts
Given that an inventory manager is in the settings section of the InvenTech platform, when they select their preferred channels for receiving notifications (Slack, Microsoft Teams, Email), then their preferences should be saved and applied for all future alerts.
Collaboration Features for Alert Responses between Team Members
Given multiple team members are using the InvenTech platform, when a demand fluctuation alert is received on any integrated channel, then it should allow users to collaboratively discuss and respond to the alert within that channel.
Delivery Time and Reliability of Demand Alerts
Given the demand alert system is active, when a significant demand change occurs, then notifications should be delivered within 5 minutes to ensure timely adjustments can be made by inventory managers.
Historical Archive of Demand Alerts for Reporting and Analysis
Given that demand fluctuation alerts have been triggered over time, when an inventory manager requests to view historical alerts, then they should be able to access a comprehensive log detailing all past alerts with timestamps and demand details.
Historical Trend Analysis
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User Story
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As an inventory manager, I want to access historical trend analysis of demand fluctuations so that I can better understand patterns and improve my forecasting for future inventory needs.
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Description
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This requirement introduces a feature that provides historical trend analysis for demand fluctuations. Users will have access to insights and reports detailing past demand patterns, helping them to make informed predictions about future inventory needs. By leveraging AI algorithms, InvenTech will analyze historical data to identify trends, which can be crucial for strategic decision-making about stock management. This feature enhances the overall value of the Demand Fluctuation Alerts by providing context for the alerts and supporting proactive inventory planning.
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Acceptance Criteria
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Historical trend insights for forecast adjustments.
Given that the user accesses the Historical Trend Analysis feature, when they request demand patterns for the past 6 months, then they should receive a detailed report showing monthly demand fluctuations, percentage changes, and significant trend indicators.
Integration of historical data with demand alert functionality.
Given that the user has set up demand fluctuation alerts, when the Historical Trend Analysis is performed, then the alerts should incorporate historical data insights to provide context for any significant demand changes in real-time notifications.
User accessibility to historical data analysis reports.
Given that the user navigates to the reporting section of InvenTech, when they select the Historical Trend Analysis report, then they should be able to download or export the data in various formats (CSV, PDF) without errors.
AI accuracy in demand trend predictions.
Given that the Historical Trend Analysis feature is in use, when users compare AI-generated predictions with actual demand data for the past period, then the differences should not exceed a variance of 10% to ensure reliability.
User notification for significant trend deviations.
Given that the user has active demand fluctuation alerts, when a significant deviation (greater than 20%) from historical trends occurs, then a real-time notification should be sent to relevant inventory managers immediately.
User training and documentation for best practices.
Given that the Historical Trend Analysis feature is newly implemented, when users access the help section, then they should find detailed documentation and training materials on how to utilize the feature for optimal inventory management.
Customizable Alert Frequencies
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User Story
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As an inventory manager, I want to customize the frequency of demand fluctuation alerts so that I can manage how often I receive notifications according to my daily work routine.
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Description
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The Customizable Alert Frequencies requirement allows users to select their desired frequency for receiving demand fluctuation alerts. Users can choose between immediate alerts or summary alerts at defined intervals (e.g., hourly, daily). This feature optimizes the user experience by reducing alert fatigue and allowing managers to tailor the notification settings to align with their workflow. It enhances the usability of the alerts, ensuring that they are both timely and relevant to the users’ operational demands.
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Acceptance Criteria
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User selects immediate alerts for demand fluctuations during peak business hours to maintain optimal inventory levels and avoid stockouts.
Given the user has selected 'Immediate Alerts' for demand fluctuation notifications, when a significant change in demand is detected, then the user receives an alert notification within 5 minutes of detection.
User opts for daily summary alerts for demand fluctuations to review trends without being overwhelmed by frequent notifications.
Given the user has selected 'Daily Summary Alerts', when the end of the day is reached, then the user receives a summary alert that includes all significant demand fluctuations that occurred throughout the day.
User configures alert settings while onboarding to the platform, ensuring the chosen frequency reflects their operational needs.
Given the user is configuring their alert preferences in the settings during onboarding, when they select a frequency (immediate, hourly, daily) and save the settings, then the system stores the frequency preference correctly in the user's profile.
Inventory manager experiences alert fatigue due to receiving frequent immediate notifications during a period of high demand.
Given the inventory manager has selected 'Immediate Alerts' and is receiving frequent notifications, when they adjust their settings to 'Hourly Alerts', then the system reduces the frequency of notifications to once per hour.
User wants to modify their existing alert frequency after experiencing operations with their current settings.
Given the user accesses the alert settings and chooses to change the frequency from 'Daily Summary Alerts' to 'Hourly Alerts', when they save the changes, then the system updates their alert preferences and reflects the new frequency within the user interface.
User wants to turn off demand fluctuation alerts altogether due to changing operational processes.
Given the user is in the alert settings interface, when they select the option to disable notifications and confirm the action, then the system should stop sending any demand fluctuation alerts to that user.
User Role-Based Access Control for Alerts
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User Story
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As a system administrator, I want to define user roles for managing demand fluctuation alerts so that I can control who has access to set thresholds and receive notifications according to their responsibilities.
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Description
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User Role-Based Access Control for Alerts ensures that only designated personnel can set thresholds and receive specific demand fluctuation alerts. This requirement is important for maintaining organizational structure and accountability in inventory management. By defining user roles, the system will facilitate controlled access to sensitive features, thus ensuring that alerts are managed appropriately according to company policies. This feature enhances security and promotes efficient teamwork by designating responsibilities among inventory managers and other staff.
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Acceptance Criteria
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As an inventory manager, I need to set demand fluctuation thresholds for alerts so that only relevant personnel can be notified when specific demand changes occur.
Given I am logged in as an inventory manager, when I navigate to the alert settings page and set a threshold for demand fluctuation alerts, then the system should allow me to save the settings and confirm that the threshold is assigned only to designated users.
As an inventory manager, I want to receive a notification when demand exceeds the predefined threshold so that I can adjust inventory levels accordingly.
Given the demand for an item has exceeded the set threshold, when the alert condition is met, then designated users should receive an immediate notification via email and within the application.
As a team leader, I want to ensure that users who are not authorized cannot alter the demand fluctuation alerts settings to maintain the integrity of inventory management.
Given I am logged in as a user without permissions, when I attempt to access the alert settings for demand fluctuations, then I should receive an access denied message without the ability to make any changes.
As an inventory manager, I want to review the history of demand fluctuation alerts to assess trends and make informed decisions for future inventory management.
Given I am on the alert history page, when I view the list of past alerts, then I should be able to see details such as the date, time, item affected, and the specific demand change that triggered the alert.
As an administrator, I want to manage user roles effectively so that only certain users can set or receive demand fluctuation alerts, enhancing security within the system.
Given I am logged in as an administrator, when I navigate to user role management, then I should be able to assign and revoke roles for demand fluctuation alerts, and the changes should reflect immediately in the user permissions.
As an inventory manager, I want to validate that notifications sent by the system are clear and contain all necessary information regarding the demand fluctuations to facilitate swift action.
Given a demand fluctuation alert is triggered, when the notification is sent, then the notification should contain the item name, the nature of the fluctuation (increase/decrease), the new demand level, and actionable steps (if applicable).
Forecasting Scenarios
Enable users to simulate various market scenarios based on historical data and external factors, allowing them to visualize potential demand changes. This feature helps inventory managers prepare for unexpected fluctuations, making strategic planning easier and more effective.
Requirements
Scenario Simulation Engine
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User Story
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As an inventory manager, I want to simulate various market scenarios so that I can visualize potential demand changes and prepare for unexpected fluctuations in stock levels.
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Description
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This requirement involves creating a robust simulation engine that allows users to input various market scenarios by manipulating historical data and external factors, such as economic indicators and seasonal trends. The engine will analyze data patterns and generate predictive analytics that visualize potential demand shifts. The feature will integrate seamlessly with InvenTech’s existing AI-driven forecasting modules, enhancing its ability to provide actionable insights. This functionality enables users to better prepare for supply chain fluctuations, minimizing risks associated with stockouts and overstock situations, ultimately leading to improved inventory management and strategic planning.
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Acceptance Criteria
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User inputs seasonal trends and economic indicators to generate a market scenario for the upcoming quarter.
Given that the user has input seasonal trends and economic indicators, when they run the simulation, then the system generates a detailed report visualizing potential demand changes for the upcoming quarter based on the inputs provided.
Inventory manager adjusts historical data parameters to simulate a worst-case scenario for demand forecasting.
Given that the user adjusts historical data parameters to reflect a worst-case scenario, when they initiate the simulation, then the engine processes the data and displays the predicted demand changes in an intuitive visual format.
A user seeks to compare different market scenarios side by side to assess risk.
Given that the user has created multiple market scenarios, when they select the comparison option, then the system displays a side-by-side comparison of the predicted demand changes for easy evaluation of risks.
Users want to save their scenario simulations for future reference and analysis.
Given that the user has completed a scenario simulation, when they click the 'Save' button, then the simulation is saved with a unique identifier and can be retrieved later on for further analysis.
An inventory manager reviews the simulation results in conjunction with their existing inventory levels.
Given that the simulation results are generated, when the user views the simulation report, then it includes actionable insights and recommendations based on current inventory levels to guide decision-making.
The simulation engine integrates historical data with real-time stock information for accurate predictions.
Given that the simulation is based on historical data and real-time stock updates, when the user runs the simulation, then the predictions reflect both sets of data accurately and provide relevant forecasts for upcoming periods.
Integration with External Data Sources
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User Story
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As an inventory manager, I want to pull external data into my forecasting scenarios so that I can create more accurate and relevant simulations based on current market conditions.
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Description
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This requirement aims to facilitate integration with external data sources, such as weather forecasts, economic data, and industry trends, to enhance the accuracy of the forecasting scenario simulations. By fetching real-time data from diverse relevant channels, users can create dynamic scenarios that reflect current environmental conditions. This integration will not only bolster the predictive capabilities of InvenTech’s AI tools but also enrich the quality of insights provided, leading to more informed decision-making for inventory management. Ensuring data privacy and compliance with external data usage policies will be fundamental to this requirement.
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Acceptance Criteria
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User fetches external weather data to adjust inventory forecasts for seasonal products.
Given that the user is authenticated, when they request weather data from an external source, then the system should retrieve and display the relevant weather forecasts within 2 seconds.
User integrates economic data affecting demand into forecasting scenarios.
Given that the user selects an economic data source, when they integrate the data into the forecasting tool, then the system must update the forecasting model and show an updated projection within 5 seconds.
User creates a new forecasting scenario based on external data inputs.
Given that the user has successfully retrieved external data, when they create a new forecasting scenario, then the system should save the scenario with a timestamp and allow retrieval for later analysis.
User reviews compliance information for external data source integration.
Given that the user is on the data source integration page, when they select an external data source, then the system must display compliance and usage policies associated with that source.
User modifies a forecasting scenario using real-time industry trend data.
Given that the user has access to industry trend data, when they modify an existing forecasting scenario with new data, then the system should recalibrate the predictions and reflect changes accurately after the adjustment is made.
User tests the accuracy of forecasting scenarios against actual market performance.
Given that the user has finished creating a forecasting scenario, when they execute the scenario and the actual market performance data is available, then the system must compare the forecasts with actual results and report the accuracy percentage.
User-Friendly Interface for Scenario Management
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User Story
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As a user, I want an easy-to-use interface to create and manage forecasting scenarios so that I can efficiently adjust my simulations without needing technical expertise.
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Description
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This requirement focuses on developing a user-friendly interface that allows users to easily create, modify, and manage various forecasting scenarios. The interface will include drag-and-drop features for adjusting parameters, graphical outputs for visual representation of changes, and a streamlined workflow for saving and retrieving scenarios. By prioritizing user experience, this feature will ensure that even users with minimal technical knowledge can effectively utilize advanced forecasting capabilities, enhancing overall product accessibility and satisfaction.
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Acceptance Criteria
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User Interface Navigation for Scenario Management
Given the user is logged into InvenTech, when they navigate to the 'Forecasting Scenarios' section, then they should see a clean, organized interface with clear labels and intuitive icons for creating, modifying, and managing scenarios.
Drag-and-Drop Functionality for Parameter Adjustment
Given the user is on the scenario creation page, when they select parameters to adjust and use the drag-and-drop feature, then the parameters should successfully reposition without any errors and reflect changes in the graphical output immediately.
Graphical Output Representation
Given the user has created or modified a forecasting scenario, when they request to visualize the changes, then the system should display an accurate graphical representation of the demand forecasts based on the input parameters without any lag.
Saving and Retrieving Scenarios
Given the user has completed adjustments to a forecast scenario, when they click the 'Save' button, then the system should save the scenario and allow the user to retrieve it later with all the parameters intact.
User Accessibility for Non-Technical Users
Given a user with minimal technical knowledge, when they interact with the scenario management interface, then they should be able to create, edit, and save forecasting scenarios without requiring external assistance or documentation.
Error Handling for Invalid Inputs
Given the user has input invalid data into a parameter field, when they attempt to save the scenario, then the system should display a clear and concise error message indicating the invalid input and prompt the user to correct it before saving.
Historical Data Analytics Dashboard
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User Story
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As a data analyst, I want access to a historical data analytics dashboard so that I can analyze past demand trends and use those insights to inform my forecasting scenarios.
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Description
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This requirement entails creating a dashboard that provides comprehensive analytics of historical inventory data, which will serve as the foundation for scenario simulations. The dashboard will compile and visualize key metrics, trends, and anomalies in past data, offering users insights into demand patterns. Users will be able to drill down into specific data points and correlate them with various scenarios to understand how past behaviors can influence future predictions. This feature aims to promote data-driven decision-making and improve the reliability of simulations.
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Acceptance Criteria
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User Access and Data Security
Given a user with valid credentials, when they access the Historical Data Analytics Dashboard, then they should see a secure login system that protects sensitive data, ensuring only authorized personnel can view analytics.
Data Visualization Accuracy
Given the Historical Data Analytics Dashboard, when a user selects a specific date range and product category, then the displayed trends and metrics should accurately reflect the historical data for that selection without discrepancies.
Anomaly Detection Alerts
Given the Historical Data Analytics Dashboard, when historical data shows significant deviations from expected patterns, then users should receive alerts highlighting these anomalies for further investigation.
Drill-Down Functionality
Given the Historical Data Analytics Dashboard, when a user clicks on a specific metric trend, then they should be able to drill down into that data to view detailed breakdowns by region, time period, and product type.
Scenario Simulation Launch
Given the Historical Data Analytics Dashboard is populated with analyzed data, when a user initiates a scenario simulation based on that data, then the system should execute the simulation and provide results reflecting potential future demand changes within 30 seconds.
User-Friendly Interface
Given the Historical Data Analytics Dashboard, when a new user accesses the dashboard for the first time, then they should be able to navigate the interface intuitively, completing their objectives without requiring additional training or support documentation.
Cross-Platform Compatibility
Given the Historical Data Analytics Dashboard is accessed via different devices, when a user switches from a mobile to a desktop device, then the dashboard should maintain functionality and layout consistency across all platforms.
Performance Monitoring and Reporting
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User Story
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As an inventory manager, I want to monitor the performance of my forecasting scenarios so that I can assess their accuracy and make adjustments where necessary to improve future predictions.
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Description
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This requirement is designed to implement a performance monitoring system that tracks the effectiveness of forecasting scenarios. It will provide reports that analyze the accuracy of past predictions versus actual outcomes, enabling users to gauge the reliability of their simulations. This feedback loop is crucial for continuously improving the forecasting model by identifying areas for enhancement based on real-world performance. The reporting feature will offer visualizations and downloadable reports to facilitate easy sharing and presentation of results for stakeholders.
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Acceptance Criteria
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User simulates a variety of market conditions using historical data to assess how demand forecasts are affected by different external factors.
Given the user has selected historical data and external factors, when they run the simulation, then the performance monitoring system should display the comparison of predicted versus actual demand in the reports.
An inventory manager reviews the performance reports generated from past forecasting scenarios to measure prediction accuracy.
Given the forecasting scenarios have run successfully, when the user accesses the performance reports, then all reports should accurately depict the percentage of accurate forecasts, indicated through visual charts and numerical data.
The user downloads the performance report to share with stakeholders after analyzing the effectiveness of past forecasting scenarios.
Given the user is on the performance report screen, when they click the download button, then a report file should be generated and downloaded in a commonly used format (PDF or Excel) without errors.
The user is analyzing the performance of the last quarter's demand forecasts to identify trends and areas for improvement.
Given the report is generated for the last quarter, when the user reviews the report visuals, then it should highlight any discrepancies between predicted and actual outcomes with clear annotations suggesting areas for enhancement.
The system is expected to provide users with real-time alerts if significant deviations occur between forecasted and actual demand.
Given a significant deviation has been detected, when the monitoring system analyzes the data, then an alert should be sent to the user indicating the issue along with suggested next steps.
Users track the system's predictive accuracy over time to evaluate the reliability of forecasts.
Given the user has accessed the predictive analytics dashboard, when they view the predictive accuracy metrics, then the system should display a historical trend of accuracy rates over predetermined time intervals (monthly, quarterly, yearly).
Intelligent Stock Recommendations
Offers personalized stock level recommendations based on AI analysis of sales patterns, seasonality, and market trends. This feature assists inventory managers in maintaining the right amount of stock, minimizing waste, and optimizing storage costs.
Requirements
AI Sales Pattern Analysis
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User Story
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As an inventory manager, I want to receive AI-generated insights on sales patterns so that I can adjust my stock levels effectively and minimize waste.
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Description
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This requirement involves the development of an AI-driven algorithm that can analyze historical sales data, identify patterns, and generate actionable insights. The analysis will consider factors such as time of year, promotional activities, and economic indicators to ensure that stock level recommendations are precise and relevant. This functionality will directly integrate with InvenTech's existing database and will provide real-time insights that will help inventory managers make informed decisions. The expected outcome is a significant reduction in stockouts and overstock situations, leading to improved cash flow and better storage cost management.
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Acceptance Criteria
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Inventory Manager reviews sales data at the end of the month to adjust stock levels for the upcoming month based on AI-driven insights.
Given the historical sales data available in the database, when the inventory manager accesses the AI Sales Pattern Analysis feature, then the system should display personalized stock level recommendations for each product with a corresponding risk indicator for stockouts or overstock.
An inventory manager is preparing for a seasonal promotion and needs to adjust inventory levels accordingly using AI-driven insights.
Given the promotional activities scheduled for the next quarter, when the inventory manager triggers the AI analysis just before the promotion, then the system should provide stock recommendations that consider these promotional activities and historical sales data from previous seasons.
A user wants to examine how real-time sales changes impact stock recommendations during a high-demand period such as a holiday season.
Given real-time sales data is being collected during the high-demand period, when the inventory manager uses the AI Sales Pattern Analysis feature, then the recommendations should update dynamically to reflect any significant fluctuations in sales patterns compared to historical data.
After implementing AI-driven recommendations, an inventory manager tracks stock levels and sales outcomes over a three-month period to evaluate effectiveness.
Given that AI-driven stock level recommendations have been implemented, when the inventory manager reviews stock levels and sales outcomes over three months, then the analysis should show at least a 20% reduction in stockouts and overstock situations compared to the previous three-month period without AI support.
New users need to understand how to interpret stock level recommendations generated by the AI system during training sessions.
Given a training session is in progress, when new users are trained on the AI Sales Pattern Analysis feature, then the system must provide clear explanations and examples of stock level recommendations, including how to understand risk indicators for stockouts and overstock.
The system needs to seamlessly integrate AI recommendations into the existing InvenTech dashboard for easy access by inventory managers.
Given the AI Sales Pattern Analysis feature has been developed, when an inventory manager logs into InvenTech, then the AI-driven stock recommendations should be prominently displayed on the dashboard with easy access to detailed insights and historical comparisons.
Dynamic Stock Level Alerts
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User Story
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As an inventory manager, I want to receive alerts when stock levels fall below recommended thresholds so that I can take proactive steps to replenish inventory without delays.
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Description
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This requirement specifies the creation of a dynamic alert system that notifies inventory managers when stock levels deviate from recommended thresholds. These alerts will be triggered based on the AI stock recommendations and will be customizable according to user preferences. The system will ensure that managers can react promptly to fluctuations in inventory needs, enabling proactive management rather than reactive adjustments. The expected benefit is increased responsiveness to market demands, minimizing potential disruptions in supply and improving sales continuity.
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Acceptance Criteria
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Notification triggers when stock levels fall below minimum thresholds based on AI recommendations.
Given the AI recommendations for minimum stock levels, when an inventory manager checks their notifications, then they should receive alerts for any items below these levels.
Users can customize alert thresholds for specific products in the inventory management system.
Given an inventory item, when a user sets a custom stock level threshold through the settings, then the alert system should reflect this new threshold in future notifications.
Alerts are sent via multiple channels to ensure inventory managers receive notifications promptly.
Given that stock levels deviate from thresholds, when an alert is triggered, then notifications should be sent through email and mobile notifications within 5 minutes of detection.
Dynamic alerts provide actionable insights along with stock level notifications.
Given an alert for low stock levels, when the inventory manager views the alert, then it should include recommendations for restocking quantities based on AI analysis.
Inventory managers can view a history of alerts to understand stock level changes over time.
Given that alerts have been triggered, when the inventory manager accesses the alert history, then it should display all past alerts with timestamps and stock level data for the last 90 days.
Alerts are tested to ensure they are received correctly by the users.
Given that the alert system is in place, when a low stock condition is simulated, then all relevant users should receive the alert without delay and comply with their chosen notification methods.
User feedback is collected to evaluate the effectiveness of the alert system.
Given that the alert system has been implemented, when feedback from inventory managers is collected, then at least 80% of the users should report satisfaction with promptness and relevance of alerts.
User-Friendly Dashboard for Recommendations
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User Story
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As an inventory manager, I want a dashboard that visually displays stock recommendations and alerts so that I can quickly assess my inventory status and make informed decisions.
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Description
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This requirement focuses on developing a user-friendly dashboard that consolidates AI-driven stock recommendations, alerts, and sales insights into a single view. The dashboard will feature intuitive visualizations, enabling users to quickly grasp stock levels, trends, and necessary actions at a glance. Integration with existing reporting tools will allow managers to generate customized reports and analyses effortlessly. The aim is to improve user experience and streamline decision-making processes, empowering inventory managers with the information needed to optimize stock management.
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Acceptance Criteria
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User accesses the dashboard to view stock recommendations and alerts for the first time after logging in to InvenTech.
Given the user is logged in, when they navigate to the dashboard, then they should see a clear overview of stock recommendations, alerts, and sales insights displayed with intuitive visualizations.
Inventory manager needs to generate a customized report based on current stock levels and sales data.
Given the inventory manager is on the dashboard, when they select the report generation option, then they should be able to customize the parameters (such as date range and stock categories) and generate a report successfully without errors.
User receives an alert for low stock levels for a specific product on the dashboard.
Given the user is on the dashboard, when there is a low stock alert for a product, then the alert should be prominently displayed, allowing the user to easily identify the product and take necessary actions.
Inventory manager reviews the trend analysis of sales data through dashboard visualizations.
Given the inventory manager is on the dashboard, when they click on the trend analysis section, then they should see visual representations of sales trends over time, including peaks and troughs, enabling informed decision-making.
User interacts with the dashboard’s AI-driven recommendation feature to optimize stock levels.
Given the user is on the dashboard, when they click on the AI recommendations, then they should see personalized suggestions for stock levels that are based on their sales patterns, seasonality, and market trends clearly displayed.
User tests the responsiveness of the dashboard on a mobile device.
Given the user opens the dashboard on a mobile device, when they navigate through the dashboard, then all components (recommendations, alerts, reports) should be fully functional and visually optimized for mobile viewing.
Integration with Multi-Channel Sales Systems
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User Story
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As an operations manager, I want InvenTech to integrate with our multi-channel sales systems so that stock levels are updated in real-time across all platforms, reducing the risk of overselling or stockouts.
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Description
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This requirement involves creating a seamless integration with various multi-channel sales systems, such as e-commerce platforms and physical point-of-sale systems. This functionality will allow for real-time updating of stock levels across all sales channels based on sales activity. The integration will ensure that inventory data is consistent and up-to-date, reducing discrepancies that can lead to customer frustration and potential lost sales. The expected outcome is enhanced operational efficiency and improved customer satisfaction from accurate product availability information.
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Acceptance Criteria
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Integration with E-commerce Platform for Real-Time Stock Updates
Given an order is placed on the e-commerce platform, when the sale is recorded, then the stock level should be updated in real-time across all connected sales channels to reflect the reduction in inventory.
Synchronization of Stock Levels with Physical Point-of-Sale Systems
Given a sale occurs at a physical point-of-sale system, when the transaction is completed, then the stock levels in the inventory management system should be automatically adjusted to reflect the sold items without manual intervention.
User Notification of Stock Level Changes Across Channels
Given a significant stock level change occurs due to a sale, when the stock adjustment is made, then all users should receive a notification of the updated stock levels across all channels they monitor within two minutes.
Integration Testing with Third-Party Sales Systems
Given the system is integrated with third-party sales systems, when a sale is processed through any integrated channel, then the inventory data must match across the inventory management system and the third-party system within 5 seconds of the transaction completing.
Reporting Accuracy for Stock Level Discrepancies
Given discrepancies in stock levels, when a report is generated, then it must accurately reflect all sales transactions and adjustments within the last 24 hours, showing no more than a 1% error rate in stock level calculations.
User Access Control for Inventory Management System
Given multiple users are accessing the inventory management system, when they attempt to view or edit stock levels, then system permissions must restrict user actions based on their assigned roles, ensuring that only authorized personnel can make changes.
Performance Metrics for Stock Level Updates
Given the system is handling multiple sales transactions simultaneously, when performing updates, then the average time to reflect stock changes across all channels must not exceed 3 seconds to ensure operational efficiency.
Seasonal Trend Adjustment Feature
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User Story
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As an inventory manager, I want to adjust stock recommendations based on seasonal trends so that my inventory aligns better with fluctuating demand patterns throughout the year.
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Description
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This requirement requires the implementation of a feature that allows users to manually adjust stock recommendations based on seasonal trends identified by the AI. Managers will be able to input seasonal factors into InvenTech to tailor stock levels further, ensuring they align with specific market needs. This feature will provide flexibility and adaptability in the inventory management process, ensuring that the business can respond effectively to season-specific demand surges without relying solely on automated recommendations.
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Acceptance Criteria
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User manually inputs seasonal trends into the Seasonal Trend Adjustment Feature during the pre-holiday inventory planning phase to influence stock levels for anticipated demand increases.
Given that the user has accessed the Seasonal Trend Adjustment Feature, when they input seasonal factors such as expected sales volumes, product demand variations, and time frames, then the system must update the recommended stock levels to reflect these inputs accurately.
Inventory manager verifies the AI-generated stock recommendations against the manually adjusted seasonal trends to ensure they align with actual market needs for a specific season.
Given that the user has made seasonal adjustments, when they review the AI-generated stock recommendations, then they must find that at least 90% of the recommendations align with their seasonal adjustments and reflect realistic stock levels.
User utilizes the Seasonal Trend Adjustment Feature to track inventory levels and sales performance in real-time during peak seasons such as holidays or festivals.
Given that the feature is live during a peak season, when the user observes stock levels and sales performance, then they must receive accurate real-time notifications of stock levels that trigger alerts when inventory falls below predefined thresholds.
Inventory manager assesses the impact of seasonal adjustments on overall stock performance after a seasonal period has ended.
Given that the seasonal period is over, when the user reviews stock performance metrics, then they must find an improvement in stock turnover rates by at least 15% compared to the previous season without adjustments.
User leverages the Seasonal Trend Adjustment Feature to create and store seasonal profiles for different products for future reference.
Given that the user creates a seasonal profile, when they save it for a specific product category, then that profile must be retrievable and editable at any time, ensuring data integrity and accessibility.
Users need support in using the Seasonal Trend Adjustment Feature effectively, ensuring they can understand and utilize the functionality fully.
Given that the user is accessing the help documentation, when they search for guidance on using the Seasonal Trend Adjustment Feature, then they must find clear, relevant, and comprehensive instructions available with step-by-step examples.
Historical Data Insights
Provides a detailed analysis of past sales data to identify long-term trends and seasonal patterns. This feature empowers users to make informed decisions by understanding the historical context of their inventory, thus improving future forecasting accuracy.
Requirements
Comprehensive Trend Analysis
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User Story
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As a store manager, I want to analyze historical sales data so that I can identify trends and seasonal patterns to improve my inventory forecasting and make better purchasing decisions.
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Description
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This requirement entails the development of a comprehensive analysis tool that processes and visualizes historical sales data to uncover long-term trends and seasonal patterns. The tool will integrate with existing inventory data and provide dashboards that display these insights visually through graphs and charts. This functionality is vital as it empowers users to understand past sales performance, allowing them to make data-driven decisions that enhance forecasting accuracy and inventory management. Implementation will also involve user-friendly interfaces to enable easy access to insights and support decision-making processes.
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Acceptance Criteria
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User accesses the trend analysis tool after logging into the InvenTech platform to review sales data from the past year.
Given the user is logged into InvenTech, when they navigate to the 'Trend Analysis' section, then they should see a dashboard displaying graphs and charts of historical sales data for the past year.
The user wants to analyze seasonal patterns in sales over the last three years.
Given the user selects a three-year time frame in the trend analysis tool, when they apply the filter, then the system should present visualizations of seasonal trends and patterns based on the selected period.
A manager is preparing a report for stakeholders and requires a clear visualization of long-term sales trends.
Given the manager chooses a long-term analysis option, when they generate the report, then the report must include comprehensive graphs representing sales performance over the last five years with clear labeling and legends for easy interpretation.
A user is not satisfied with the visual representation of sales data and wants to customize the view.
Given the user is viewing the trend analysis dashboard, when they click on the 'Customize View' option, then they should be able to select data points and visualization styles to tailor the dashboard to their preferences.
A user is trying to access the historical data insights from a mobile device.
Given the user accesses InvenTech from a mobile browser, when they navigate to the historical data insights, then the dashboard should be fully responsive, maintaining usability and display integrity on mobile screens.
A user seeks support for understanding the trend analysis tool functionalities.
Given the user clicks on the 'Help' section while in the trend analysis tool, when they open the help feature, then they should find a comprehensive guide and FAQs that explain how to utilize all features of the trend analysis tool.
Customizable Reporting
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User Story
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As a business owner, I want to generate customizable reports on historical sales data so that I can focus on specific products or seasons most relevant to my future stock decisions.
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Description
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This requirement involves creating a customizable reporting feature that allows users to generate tailored reports based on specific historical data parameters. Users should be able to select various filters such as date ranges, product categories, and sales channels to fine-tune their reports. This functionality is essential for enabling businesses to gather precise insights tailored to their unique operational needs. The reporting tool will enhance the overarching utility of historical data, ensuring that users can extract the most relevant information to inform their strategic planning.
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Acceptance Criteria
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User generates a sales report for a specific product category over the last quarter to analyze performance and identify trends.
Given the user is logged into InvenTech, when they select 'Customizable Reporting' and choose 'Product Category', 'Last Quarter' as filters, then the report displays accurate sales data and trends for that category over the specified time frame.
A user selects a date range from the last year and filters the report by multiple sales channels to compare performance.
Given the user is on the reporting page, when they set a date range of 'Last Year' and select 'Online Sales' and 'In-Store Sales' as channels, then the generated report shows distinct sales figures for each channel within the selected date range.
The user wants to export a tailored report into different formats (PDF, Excel) for external sharing and further analysis.
Given the user has generated a customizable report, when they click on 'Export' and select 'PDF format', then the report is successfully downloaded in PDF format with all filters applied.
A user updates their filter selections and re-generates the report to reflect the new parameters without refreshing the entire page.
Given the user has applied filters for 'Product Category' and 'Date Range', when they click on 'Update Report', then the report refreshes to display data according to the new filter selections without losing previous inputs.
Users need to save their custom report settings for future access and reuse.
Given the user has created a report with specific filters set, when they click 'Save Report' and name their report, then the report settings are successfully saved and can be accessed later under 'My Reports' section.
A user experiences an error message when attempting to generate a report without selecting any filters.
Given the user is on the reporting page and clicks 'Generate Report' without making any filter selections, then an error message is displayed prompting the user to select at least one filter before generating the report.
The user wants to view summaries and insights from previous reports for quick comparisons.
Given the user has generated multiple reports over time, when they navigate to the 'Report History' tab, then they can see a list of previously generated reports along with key summary details for quick reference.
Automated Periodic Insights Generation
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User Story
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As a sales manager, I want to receive automated email insights about historical trends so that I can quickly adjust my inventory strategies according to the latest data without manual effort.
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Description
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This requirement establishes an automated feature that periodically generates insights based on historical sales data and sends reports to users via email or in-app notifications. This functionality aims to ensure that users continuously receive updates about their inventory trends without needing to manually run analyses. Automation will enhance engagement and user reliance on the platform for inventory decisions, ensuring that users can swiftly respond to changing market and inventory conditions based on timely insights.
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Acceptance Criteria
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Automated Insights Generation for User Engagement
Given a user has historical sales data, when the automated insights generation feature runs, then a report summarizing trends and patterns is generated and sent via email or in-app notification.
Email and In-App Notification Delivery
Given the automated report is generated, when the report is sent, then the user should receive the report in their email inbox and/or as an in-app notification within 10 minutes.
Content Accuracy of Generated Insights
Given the historical sales data used for insights generation, when the user reviews the generated report, then the insights should accurately reflect the trends and patterns identified in the past sales data.
User Interface for Viewing Insights
Given a user accesses the insights section of the application, when they view the latest insights report, then the report should be displayed clearly with options to download or share the report.
Customization of Insight Frequency
Given a user accesses their account settings, when they opt to customize their insights delivery frequency, then the changes should be saved and reflected in the next report schedule.
User Feedback Collection Post Insight Delivery
Given a report has been delivered to the user, when the user accesses the feedback prompt after viewing the report, then they should be able to submit feedback about the usefulness and clarity of the insights.
Performance Monitoring of Automated Reports
Given the automated insights report is generated, when the system analyzes its performance, then it should log metrics like delivery time and user engagement rates accurately.
Integration with Third-Party Analytics Tools
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User Story
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As a data analyst, I want to integrate InvenTech with third-party analytics tools so that I can conduct deeper analyses of my inventory data and combine it with other business metrics for comprehensive reporting.
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Description
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The requirement focuses on integrating InvenTech with popular third-party analytics tools such as Google Analytics and Microsoft Power BI. This integration will enable users to sync historical sales data for cross-platform analysis and reporting. It is essential for users who rely on comprehensive analytics for deeper insights and for those who use multiple tools for data analysis. By providing a robust integration capability, users can leverage their existing tools and workflows while gaining enhanced visibility into their inventory performance and trends.
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Acceptance Criteria
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Integration with Google Analytics
Given a user with an active InvenTech account, when they connect their Google Analytics account through the InvenTech integration setup, then historical sales data should sync automatically without errors, and be accessible within both InvenTech and Google Analytics dashboards.
Integration with Microsoft Power BI
Given a user has configured their Microsoft Power BI account, when they initiate the sync from InvenTech, then historical sales data should be pulled into Power BI reports, allowing for cross-platform data visualization within 10 minutes of initiation.
User Notification of Successful Data Sync
Given a user has initiated the integration sync process, when the sync is successful, then the user should receive an in-app notification detailing which data sets were synced and confirming the success of the operation.
Error Handling during Data Sync
Given a user attempts to sync data to a third-party analytics tool, when an error occurs during the sync process, then the user should receive a clear error message detailing the issue and steps to resolve it, logged in the system for further review.
Performance Metrics Tracking
Given historical sales data is integrated with third-party analytics tools, when the user views performance metrics in either tool, then the data displayed should accurately reflect the sales data from InvenTech and be updated in real-time to ensure data integrity.
User Access Management for Integration
Given an organization has multiple users in InvenTech, when a user attempts to connect a third-party tool to their InvenTech account, then only authorized users should be able to perform this action based on their role permissions defined in the system.
Mobile Access to Historical Data Insights
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User Story
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As a field sales representative, I want to access historical sales insights on my mobile device so that I can make informed decisions while meeting clients and away from my desk.
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Description
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This requirement specifies the necessity for a mobile-friendly interface that allows users to access historical data insights and reports through their mobile devices. With the increasingly mobile workforce, providing access to vital business information on the go is imperative. This functionality will ensure that decision-makers can stay informed about trends and inventory insights regardless of their location, enhancing their ability to make timely decisions and maintaining business agility.
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Acceptance Criteria
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User Accessing Historical Data Insights on Mobile While Traveling to a Meeting
Given the user has the InvenTech mobile app installed and is logged in, when they navigate to the 'Historical Data Insights' section, then they should be able to view detailed reports of past sales data in a mobile-friendly format without loss of functionality.
User Viewing Seasonal Trends on Mobile During a Monthly Review Meeting
Given the user opens the app during a monthly review meeting, when they select a specific product category from the historical data section, then they should see a graphical representation of seasonal trends over the past year, which is easily readable on their mobile device.
User Downloading Historical Insights Report on Mobile for Offline Use
Given the user selects the report download option in the historical data insights, when they choose the format and confirm the download on their mobile device, then a PDF report of the insights should be generated and available for offline viewing.
Mobile User Receiving Push Notifications for Historical Data Updates
Given the user opts into notifications, when new historical data insights are available, then the user should receive a push notification on their mobile device alerting them to the updates.
User Filtering Historical Data Insights by Date Range on Mobile
Given the user is in the historical data insights section, when they apply a date range filter for past performance, then the displayed data should reflect the selected date range accurately and update immediately on their mobile screen.
Supplier Lead Time Analytics
Analyzes supplier performance and lead times to provide insights into how quickly stock can be replenished. This feature allows users to factor in lead times accurately when creating forecasts, ensuring that orders align with demand expectations.
Requirements
Lead Time Data Integration
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User Story
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As an inventory manager, I want to automatically integrate supplier lead time data so that I can accurately align inventory replenishments with demand expectations without manual data entry.
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Description
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This requirement entails the seamless integration of supplier lead time data into the InvenTech platform. The system must automatically fetch and update lead time information from various suppliers to ensure that all data is current and accurate. This integration will allow users to view supplier performance metrics alongside other inventory data, enhancing decision-making capabilities. The expected outcome is an efficient and dynamic inventory management process where users can easily assess how lead times affect inventory levels and demands. By integrating supplier lead time data, InvenTech ensures that users can make informed decisions regarding order placements and inventory replenishments, significantly reducing the risk of stockouts or overstock situations.
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Acceptance Criteria
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Automatic integration of lead time data from multiple suppliers into InvenTech's inventory management system.
Given the user has set up supplier accounts in InvenTech, when the system fetches lead time data from these suppliers, then all lead time information should be updated in the system without manual intervention.
Viewing supplier lead times alongside other inventory metrics through the InvenTech dashboard.
Given that lead time data has been successfully integrated, when the user accesses the supplier performance dashboard, then they should see accurate lead time metrics displayed in real-time next to inventory levels and demand forecasts.
Alerts for discrepancies between expected and actual lead times in InvenTech.
Given that lead time data is integrated, when there is a discrepancy of more than 10% between expected lead times and the actual lead times fetched from suppliers, then the system should trigger an alert for the user to review.
User customization of lead time settings for different suppliers within InvenTech.
Given that the user wants to prioritize certain suppliers, when they navigate to the lead time settings for any supplier, then they should be able to customize the lead time values and save those settings successfully.
Reporting features for supplier lead times in InvenTech.
Given that lead time data has been collected over a period, when the user generates a report on supplier performance, then the report should include average lead times, historical trends, and any anomalies in lead times for each supplier.
Integration of supplier lead time data into demand forecasting models in InvenTech.
Given that lead time data is available, when the user creates a demand forecast, then the system must automatically factor in the relevant lead times for orders to ensure accurate forecasting.
Lead Time Performance Dashboard
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User Story
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As a supply chain analyst, I want to access a dashboard that displays supplier lead time performance metrics so that I can identify trends and make informed procurement decisions.
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Description
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The Lead Time Performance Dashboard will provide users with a visual representation of supplier lead times and performance metrics. This dashboard will display key analytics, such as average lead times, deviations from expected lead times, and trends over time, allowing users to quickly identify underperforming suppliers. By centralizing this information, users can make faster, data-driven decisions about which suppliers to prioritize for future orders. The dashboard will facilitate improved communication with suppliers and will enable users to strategize inventory purchases based on real-time insights, ultimately enhancing supply chain efficiency.
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Acceptance Criteria
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User views the Lead Time Performance Dashboard to assess supplier performance after receiving stock replenishment.
Given the user is logged into the InvenTech platform, when they navigate to the Lead Time Performance Dashboard, then they should see a visual representation of supplier lead times and performance metrics, including average lead times and deviations from expected lead times.
User identifies underperforming suppliers using the Lead Time Performance Dashboard for inventory strategy planning.
Given the user has accessed the Lead Time Performance Dashboard, when they analyze the performance metrics, then they should be able to identify at least three suppliers with lead times exceeding the acceptable threshold specified in the settings.
User interacts with the Lead Time Performance Dashboard to monitor trends in supplier performance over time.
Given the user is viewing the Lead Time Performance Dashboard, when they select a time range filter, then they should see updated trend graphs reflecting supplier lead time performance over the selected period.
User generates a report from the Lead Time Performance Dashboard to communicate supplier performance to stakeholders.
Given the user is on the Lead Time Performance Dashboard, when they click the 'Generate Report' button, then a downloadable report should be created that includes key performance statistics for each supplier, formatted for easy sharing with stakeholders.
User wishes to prioritize suppliers based on data from the Lead Time Performance Dashboard for future orders.
Given the user has analyzed the performance metrics on the Lead Time Performance Dashboard, when they select a supplier, then they should have the option to mark it as 'Preferred' or 'Review', impacting future order recommendations.
User seeks to enhance communication with suppliers based on insights from the Lead Time Performance Dashboard.
Given the user has identified suppliers with performance issues, when they choose to communicate these insights via the dashboard, then they should be able to send a message to the respective suppliers, including specific metrics and concerns from the dashboard.
User checks real-time updates on supplier lead times to adjust inventory orders accordingly.
Given that there is a change in lead time data for a supplier being monitored, when the user refreshes the Lead Time Performance Dashboard, then they should see the updated lead time information reflected immediately in the performance metrics.
Automated Alerts for Lead Time Changes
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User Story
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As a logistics coordinator, I want to receive automated alerts for changes in supplier lead times so that I can adjust orders and avoid potential stockouts.
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Description
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This requirement involves creating a system to generate automated alerts for any significant changes in supplier lead times. Users will receive notifications when lead times exceed predefined thresholds or when there are sudden changes in lead time data. These alerts will allow users to adjust their inventory strategy proactively, mitigating the risks associated with delayed shipments. The functionality will enhance user responsiveness to supply chain fluctuations, ensuring that inventory levels are managed effectively even when unexpected changes occur in supplier performance.
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Acceptance Criteria
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Automated Alert Triggers for Increased Lead Time
Given that there is a supplier with a lead time of 5 days, when the lead time increases to 10 days, then an automated alert should be sent to the user notifying them of the change.
Automated Alert Triggers for Decreased Lead Time
Given that a supplier has a previous lead time of 10 days, when the lead time decreases to 3 days, then an automated alert should be sent to the user informing them of the updated lead time.
Threshold-Based Alert Notifications
Given that a user sets a threshold for lead time changes of 2 days, when any supplier exceeds this threshold, then an automated alert should be sent to the user for each supplier impacted.
Daily Summary of Lead Time Alerts
Given that lead time changes have occurred, when the day ends, then the user should receive a summary email detailing all lead time alerts generated over that day.
User Customization of Alert Settings
Given the user accesses the alert settings page, when they modify their notification preferences for lead time changes, then those preferences should be saved and applied to future alerts.
Visibility of Alerts in Dashboard
Given that alerts have been triggered, when the user logs into their dashboard, then they should see a notification panel displaying all recent lead time alerts.
Testing the Alert Delivery Mechanism
Given that a lead time change occurs, when an alert is triggered, then it should be successfully delivered to the user's registered email address or mobile app notification.
Supplier Lead Time Reports
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User Story
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As a procurement officer, I want to generate detailed reports on supplier lead times so that I can evaluate supplier performance and consider improvements or changes in sourcing strategy.
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Description
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The Supplier Lead Time Reporting feature will enable users to generate comprehensive reports on supplier lead times over selected periods. Reports will include detailed analytics such as average lead times per supplier, comparison of lead times against industry standards, and performance across various regions. Users can customize the parameters of these reports to focus on specific suppliers or timeframes, providing valuable insights for negotiation and performance management. This functionality is critical for ensuring that users have the necessary data to evaluate supplier reliability and make informed decisions regarding supplier contracts and relationships.
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Acceptance Criteria
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User generates a supplier lead time report for the past quarter to analyze performance compared to their established standards.
Given the user is logged into the InvenTech platform, when they navigate to the Supplier Lead Time Reports section and select the last quarter as the timeframe, then the system should generate a report displaying average lead times for all suppliers with a clear comparison against industry standards.
User customizes a supplier lead time report to analyze a specific supplier's performance over a selected period.
Given the user is viewing the Supplier Lead Time Reports section, when they select a specific supplier and input a custom date range, then the report generated should accurately reflect lead times for that supplier during the specified period, including the ability to download the report in CSV format.
User compares lead times of multiple suppliers within the same report to identify delays and address issues accordingly.
Given the user is on the Supplier Lead Time Reports page, when they select multiple suppliers and request a comparison report, then the output should visually display comparative analytics for each selected supplier, highlighting discrepancies in lead times and providing actionable insights.
User views supplier lead time analytics and identifies trends over time to forecast future stock needs effectively.
Given the user has generated a supplier lead time report for a 12-month period, when they analyze the data, then they should be able to identify trends in lead times, allowing them to adjust future inventory orders based on historical performance.
User utilizes the supplier report to negotiate better contract terms with a supplier based on their lead time performance.
Given the user has generated a report showcasing poor supplier lead times, when they present this data during negotiations, then it should provide sufficient evidence to support requests for improved contract terms or penalties for performance failures.
User accesses the lead time analytics feature through a mobile device to monitor supplier performance on-the-go.
Given the user is logged in via their mobile device, when they access the Supplier Lead Time Reports feature, then the system should display a mobile-friendly version of the reports with all essential functionalities available for viewing and customization.
User integrates supplier lead time analytics with the existing ERP system to streamline inventory management processes.
Given the user has access to both InvenTech and their ERP system, when they utilize the integration feature to sync supplier lead time data, then the ERP should accurately reflect the updated lead times in its inventory management modules without data loss or discrepancies.
Lead Time Forecasting Tool
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User Story
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As an inventory planner, I want a forecasting tool that predicts supplier lead times so that I can optimize our inventory levels ahead of demand spikes.
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Description
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The Lead Time Forecasting Tool will leverage historical lead time data and machine learning algorithms to predict future lead times based on trends and supplier performance history. This predictive analytics feature will help users forecast inventory replenishment needs more accurately, aligning stock levels with anticipated demand fluctuations. By integrating forecasting into the inventory management process, InvenTech enhances its capability to ensure that users are prepared for changes in inventory needs based on reliable anticipations of supply chain variables.
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Acceptance Criteria
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User wants to view historical lead time data for specific suppliers to identify trends and forecast future inventory needs.
Given the user selects a supplier, when they access the lead time analytics dashboard, then the system displays graphically represented historical lead time data for the selected supplier for at least the past 12 months.
User inputs new lead time data for a supplier to update the forecasting model.
Given the user has admin rights, when they enter new lead time data for a supplier and save changes, then the system successfully updates the forecasting model without errors and confirms the update with a success message.
User generates a forecast report based on the lead time data and anticipated demand.
Given the user clicks on the 'Generate Forecast' button, when the system processes the lead time and demand data, then it produces a report that accurately reflects predicted lead times and recommended reorder amounts for the next 3 months.
User wants to analyze the impact of lead time variability on inventory levels.
Given the user accesses the lead time forecasting tool, when they apply filters for specific dates and suppliers, then the system displays an analysis of how lead time variability would affect inventory levels, including stockouts and overstocks.
User needs to receive alerts for potential lead time delays based on historical data trends.
Given the user has enabled notification settings, when the system detects that a supplier's current lead time is trending toward a historical high, then it sends an alert to the user via email and in-app notification within 24 hours.
User reviews the accuracy of previous lead time predictions compared to actual lead times.
Given the user accesses the lead time forecasting summary, when they compare predicted lead times to actual lead times for the last quarter, then the system provides a percentage accuracy score and highlights discrepancies for each supplier.
User integrates the lead time forecasting tool with external ERP systems for seamless updates.
Given the user initiates the integration setup, when the system connects with the specified ERP software, then it successfully syncs lead time data without data loss or errors, confirming integration with a completion message.
Visual Forecasting Dashboard
A user-friendly interface that displays forecasting data and trends through engaging visuals like graphs and charts. This feature enhances decision-making by making complex data easily understandable, allowing inventory managers to quickly glean insights and act accordingly.
Requirements
Data Visualization Tools
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User Story
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As an inventory manager, I want to visualize forecasting data through engaging charts and graphs, so that I can quickly understand trends and make informed decisions about stock levels.
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Description
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Create interactive visual elements such as charts, graphs, and heat maps that dynamically display inventory forecasting data. These visual tools should be designed to make complex data sets easily digestible and provide critical insights at a glance. The output should be customizable based on user preferences and analytical needs to enhance the decision-making processes of inventory managers. Integrating seamlessly with existing data sources and offering drill-down capabilities into specific categories or trends will empower managers to act swiftly on data insights.
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Acceptance Criteria
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Display of Inventory Data Trends on the Visual Forecasting Dashboard
Given the user has data sources connected, when they access the Visual Forecasting Dashboard, then the dashboard must display graphs and charts representing inventory data trends for the past 12 months.
Interactivity and Customization of Visual Elements
Given the user is viewing the graphical representation of inventory data, when they select a specific chart, then a menu must appear allowing the user to customize the chart type and data range.
Drill-Down Analysis Functionality
Given the user is on a specific chart depicting sales trends, when they click on a data point, then the system must provide a drill-down view that breaks down sales by product category or time period.
Real-time Update of Forecasting Data
Given that the user has the Visual Forecasting Dashboard open, when inventory levels change, then the dashboard must refresh automatically to reflect the updated data without requiring a manual reload.
Integration with External Data Sources
Given that the user wants to view data from an external ERP system, when they connect their ERP system to InvenTech, then the dashboard must seamlessly integrate and display the relevant forecasting data.
Accessibility and Mobile Optimization
Given that a user accesses the Visual Forecasting Dashboard from a mobile device, when the dashboard loads, then it must adjust to fit the mobile screen while maintaining usability of the forecast visualizations.
Real-Time Data Integration
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User Story
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As an inventory manager, I want the forecasting dashboard to reflect real-time data updates, so that I can adjust my inventory decisions based on the most current information available.
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Description
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Implement a real-time data pipeline that ensures forecasting data is continuously updated with the latest sales and inventory information. This requirement aims to facilitate comprehensive current trend analysis by integrating with sales channels and inventory databases, allowing inventory managers to rely on real-time figures for strategic planning. It will enhance the accuracy of forecasts and provide immediate adjustments to inventory strategies based on consumer demand and market fluctuations.
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Acceptance Criteria
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Real-time data integration enabling inventory managers to receive sales and inventory updates within seconds from various channels during peak sales periods.
Given that the inventory manager has access to the Visual Forecasting Dashboard, When a sale occurs, Then the forecasting data should update within 5 seconds to reflect the latest sales information.
Inventory managers utilizing the real-time data integration to adjust inventory levels during promotional events based on the latest consumer demand and sales data.
Given that a promotional event is in progress, When the sales volume exceeds the predefined threshold, Then the inventory levels should automatically adjust within the dashboard to reflect the current stock status within 10 seconds.
Integration with external inventory databases that must provide accurate and current inventory levels to avoid stockouts during high-demand periods.
Given that the external inventory database is connected, When the dashboard queries the database for inventory levels, Then the response should display accurate current stock levels within 3 seconds.
Real-time updates reflecting the impact of market fluctuations on inventory strategies accessible on mobile devices for on-the-go decision-making.
Given that the inventory manager is using the mobile app, When there is a significant market fluctuation affecting demand, Then the Visual Forecasting Dashboard should push notifications to the user within 5 minutes of the market event.
Display of historical sales data trends in the dashboard to support real-time data evaluation and strategic planning.
Given that the inventory manager is reviewing historical data, When they navigate to the historical trends section, Then the dashboard should display sales data for at least the past 12 months accurately within 2 seconds.
Integration testing with existing sales channels to ensure data consistency across platforms in real time.
Given that integration with a sales channel is established, When the inventory manager processes a sale on that channel, Then the real-time data should reflect the transaction on the dashboard with less than a 1% error rate in the inventory count.
User Customization Options
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User Story
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As an inventory manager, I want to customize my forecasting dashboard, so that I can focus on the metrics that matter most to my business without unnecessary distractions.
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Description
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Develop a customization feature that allows users to tailor their visual forecasting dashboards according to their specific needs and preferences. This would include options for selecting data points to display, choosing among different visual formats, and determining the layout of the dashboard. Enabling customization will improve user engagement and satisfaction by allowing inventory managers to focus on the metrics that are most relevant to their operations.
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Acceptance Criteria
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User accesses the visual forecasting dashboard and navigates to the customization options to adjust how data is presented.
Given the user is logged in, when they select the 'Customize Dashboard' button, then they should be presented with options to choose data points, select visual formats, and arrange the layout.
User selects specific data points to display on the visual forecasting dashboard for better insights.
Given the user is on the customization page, when they select specific data points from the available options, then those data points should be reflected in the dashboard upon saving changes.
User chooses different visual formats (charts, graphs, etc.) for the data representation on the dashboard.
Given the user is customizing the dashboard, when they select a different visual format for a data point, then the dashboard should immediately update to reflect this new format without needing to refresh.
User saves their customized dashboard and accesses it later to verify that their preferences are retained.
Given the user customizes their dashboard and clicks 'Save', when the user logs out and back in, then their previously saved customization settings should be displayed as they last set them up.
User wants to revert back to default settings after making customizations.
Given the user is on the customized dashboard, when they click the 'Reset to Default' option, then the dashboard should revert to the original state with default settings active.
User examines the interface for accessibility options to accommodate personal preferences and needs.
Given the user is customizing their dashboard, when they open accessibility options, then they should see available features such as text resizing, color blindness modes, and high contrast displays.
User utilizes mobile access to customize the visual forecasting dashboard on a tablet or phone.
Given the user is accessing their dashboard on a mobile device, when they navigate to customization options, then they should be able to perform all customization actions as available on the desktop version.
Forecast Accuracy Metrics
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User Story
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As an inventory manager, I want to see metrics that reflect the accuracy of my forecasts, so that I can improve my forecasting methods and avoid costly overstock or stockouts.
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Description
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Introduce a suite of metrics that allow users to assess the accuracy of inventory forecasts over time. This feature will provide insights into forecast reliability, helping inventory managers identify patterns of accuracy or discrepancies. Establishing benchmarks and generating historical accuracy reports will guide users in refining their forecasting strategies to enhance overall inventory performance.
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Acceptance Criteria
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Displaying Historical Forecast Data Accuracy on the Dashboard
Given the user is on the Visual Forecasting Dashboard, when they select the 'Historical Accuracy Metrics' option, then the system should display a graphical representation of forecast accuracy metrics for the past six months.
Generating Benchmark Reports for Forecast Accuracy
Given the user has access to inventory forecasting data, when they initiate a request for a benchmark report, then the system should generate a report that includes forecast accuracy metrics compared to industry standards.
Identifying Patterns in Forecast Accuracy Over Time
Given the user is reviewing forecast accuracy metrics, when they apply filters for specific time periods and product categories, then the dashboard should dynamically update to show patterns in forecast accuracy specific to those parameters.
Alerts for Significant Discrepancies in Forecast Accuracy
Given the user has set up alerts, when the forecast accuracy falls below a defined threshold, then the system should send an alert notification to the user indicating the need for review.
User Feedback on Accuracy Metrics Display
Given the user interaction with the accuracy metrics dashboard, when they provide feedback about the usability of the displayed metrics, then the system should allow users to submit their comments and suggestions for improvement.
Comparing Current and Historical Forecast Accuracy
Given the user is on the Visual Forecasting Dashboard, when they select the option to display both current and historical forecast accuracy, then the system should present a side-by-side comparison of metrics for easy analysis.
Exporting Forecast Accuracy Data
Given the user has accumulated forecast accuracy data in the dashboard, when they choose to export the data, then the system should allow them to download the metrics as a CSV or PDF file for reporting purposes.
Mobile Access and Alerts
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User Story
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As an inventory manager, I want to access my forecasting dashboard on my mobile device, so that I can stay informed and make decisions even when I am away from my desk.
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Description
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Enable mobile access to the Visual Forecasting Dashboard, ensuring that inventory managers can view their forecasts and receive alerts on the go. This requirement will enhance the product’s flexibility and responsiveness, allowing users to make timely decisions based on alerts for critical stock levels or forecast deviations directly from their mobile devices. Integration with push notifications will ensure that key updates are not missed.
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Acceptance Criteria
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Viewing the Visual Forecasting Dashboard on a mobile device while attending an inventory management meeting to make real-time decisions based on current stock levels.
Given the user is logged into the InvenTech mobile app, when they navigate to the Visual Forecasting Dashboard, then they should see up-to-date forecasts and trends displayed accurately in graphs and charts.
Receiving alerts for critical stock levels while on the go enables inventory managers to take immediate action to prevent stockouts.
Given that product stock levels reach the defined critical threshold, when a stock level alert is triggered, then the user should receive a push notification on their mobile device within 5 minutes.
Integrating seamlessly with existing ERP systems to ensure all forecast data is consistent across platforms when accessed via a mobile device.
Given the user has connected their ERP system to InvenTech, when they access the Visual Forecasting Dashboard on mobile, then the forecast data should match the data displayed on the desktop version of the dashboard.
Using the forecasting dashboard to analyze sales trends during a mobile business trip to make informed purchasing decisions.
Given the user has enabled mobile access, when they view the sales trend graphs on their mobile device, then they should be able to interact with the data to filter and view different time periods or product categories.
Responding to forecasting deviation alerts while out of the office to adjust procurement plans on the fly.
Given that a significant deviation in forecasts occurs, when the user receives the alert notification, then they should be able to access detailed insights and historical data to assess the situation within the app.
Instant Inventory Sync
Instant Inventory Sync enables real-time synchronization between payment transactions and inventory levels, ensuring that as soon as a payment is processed, stock levels are immediately updated. This feature minimizes discrepancies between online listings and actual stock, empowering e-commerce managers to maintain accurate inventory status and significantly reducing the risk of overselling or stockouts.
Requirements
Real-time Stock Availability
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User Story
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As an e-commerce manager, I want inventory levels to be updated in real time after each transaction so that I can maintain accurate stock information and avoid overselling products.
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Description
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This requirement ensures that inventory levels are updated in real time in response to any payment transaction, providing a seamless and accurate reflection of available stock across all sales channels. By integrating directly with payment systems, the feature mitigates the risk of overselling or stockouts, leading to improved customer satisfaction. This will involve developing APIs or webhooks that facilitate instantaneous updates as transactions occur, ensuring that both front-end listings and back-end inventory reflect the same data. The benefit includes enhanced trust from customers, decreased operational overhead from handling stock discrepancies, and optimized inventory management.
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Acceptance Criteria
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Payment Process Completion Updates Stock Levels Immediately
Given a payment transaction is completed, When the transaction is processed, Then the inventory levels are updated in real-time in the system.
Stock Discrepancy Alerts for E-commerce Managers
Given a payment transaction occurs, When stock levels do not reflect the expected quantity, Then an alert is sent to the e-commerce manager indicating a stock discrepancy.
Multi-Channel Inventory Sync Consistency
Given a payment is processed through one sales channel, When the inventory is updated, Then the updated stock levels must be reflected across all connected sales channels within 5 seconds.
API Performance Under Heavy Load
Given 100 simultaneous payment transactions are processed, When stock updates are triggered, Then all updates should be reflected in the inventory system without errors or delays exceeding 2 seconds.
User Access Control for Inventory Management Updates
Given different user roles in the system, When an inventory update is made, Then users with appropriate permissions can view the update log and restricted users cannot access this log.
Detailed Inventory Reporting Post-Transaction
Given several transactions have been processed, When an inventory report is generated, Then the report must accurately reflect the stock levels after all transactions are accounted for without discrepancies.
Multi-Channel Integration
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User Story
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As a business owner, I want to integrate my inventory across multiple sales channels so that I can easily manage stock levels and sales from one centralized system, improving efficiency and accuracy.
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Description
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This requirement encompasses the ability to sync inventory levels across multiple platforms (e.g., online store, physical storefront, marketplaces) instantly. It ensures that any changes in stock levels due to sales, returns, or new shipments are reflected across all channels without delay. The implementation will require coordination with various APIs used by online marketplaces and physical point-of-sale systems, allowing for a unified view of inventory that enhances operational efficiency and customer experience. Benefits include reduced manual work, minimized discrepancies between sales channels, and improved responsiveness to inventory changes.
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Acceptance Criteria
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Inventory Sync After Transaction Processing
Given a payment transaction is successfully processed on any sales channel, when checking the inventory levels across all connected platforms, then the stock level should be updated in real-time on all channels to reflect the change immediately.
Fallback Sync Mechanism
Given a failure occurs during the real-time sync process, when the system retries synchronization after the failure, then the inventory levels must be accurately updated without manual intervention within 5 minutes of the transaction being completed.
Inventory Level Consistency Across Channels
Given that an inventory level change occurs due to a sale on one channel, when querying the inventory on another channel, then the stock levels must match within 1 minute of the transaction being completed.
API Coordination for Multi-Channel Sync
Given that inventory sync requires coordination with multiple APIs, when a stock level change occurs, then all related APIs must be successfully notified to update their respective inventory data without errors.
Handling Returns in Sync Process
Given a return is processed on any sales channel, when the return is recorded, then the inventory levels across all channels must reflect the addition of the returned stock within 2 minutes.
User Notification of Sync Failures
Given a sync failure happens during any transaction, when the failure occurs, then the user must be notified immediately with a detailed error message, and a log must be created for troubleshooting purposes.
Performance During Peak Load
Given peak sales periods, when multiple transactions occur simultaneously across various channels, then the inventory sync must maintain performance and accuracy, updating all stock levels within 1 minute of each transaction's completion.
Alerts for Low Stock Levels
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User Story
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As an inventory manager, I want to receive alerts when stock levels are low so that I can reorder products in time and avoid stockouts that could harm sales.
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Description
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This requirement entails the creation of an alert system that notifies inventory managers when stock levels drop below a predetermined threshold. The alerts will assist users in taking proactive measures to reorder stock before it runs out, thereby reducing potential lost sales opportunities. The integration involves developing a notification system that can send alerts via email, SMS, or in-app notifications. This feature enhances operational efficiency by ensuring that businesses are continuously stocked with essential items, thus avoiding disruptions in sales.
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Acceptance Criteria
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Notification for Low Stock Alert via Email
Given the inventory levels are being monitored, when the stock level drops below the predetermined threshold, then an email alert should be received by the inventory manager within 5 minutes of the stock level falling below the threshold.
Notification for Low Stock Alert via SMS
Given the inventory levels are being monitored, when the stock level drops below the predetermined threshold, then an SMS alert should be sent to the inventory manager's registered mobile number within 5 minutes of the stock level falling below the threshold.
Notification for Low Stock Alert via In-app Alert
Given that an inventory manager is logged into the InvenTech platform, when the stock level for any item falls below the predetermined threshold, then an in-app notification should be displayed within the application interface immediately after the alert is triggered.
Configurable Threshold for Alerts
Given the requirement for low stock alerts, when an inventory manager accesses the settings, then they should be able to configure the low stock threshold for each product individually, and changes should be saved successfully without errors.
History of Low Stock Alerts
Given that low stock alerts are triggered, when an inventory manager requests the history of alerts, then a complete and accurate log of all low stock alerts should be available, including timestamps and affected products, for the past 30 days.
Escalation of Critical Low Stock Alerts
Given that an inventory level is critically low and the threshold has been crossed, when the alert is generated, then the system should escalate the alert by notifying an additional manager via the preferred notification method within 5 minutes.
Audit Log for Inventory Changes
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User Story
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As an inventory auditor, I want to view a history of all inventory changes so that I can track adjustments for compliance and accuracy purposes.
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Description
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This requirement focuses on implementing an audit log feature that tracks all inventory changes, including updates made by payment transactions, manual adjustments, and reorders. The audit log will provide a comprehensive history of inventory changes, enabling managers to review adjustments and identify any discrepancies quickly. This feature will not only ensure accountability but also compliance with inventory tracking regulations. Development requires robust database management and a user-friendly interface for accessing the audit logs, enhancing transparency and operational integrity.
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Acceptance Criteria
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Audit Trail for Manual Adjustments to Inventory Levels
Given an inventory adjustment is made manually by a user, when the change is saved, then an entry is recorded in the audit log capturing the user ID, timestamp, previous and new stock levels, and reason for the adjustment.
Audit Log Entry on Payment Transactions
Given a payment transaction is processed, when inventory levels are updated as a result, then an entry is made in the audit log that includes the transaction ID, timestamp, updated stock level, and item details.
Accessing the Audit Log for Review
Given the user is an inventory manager, when they access the audit log, then they should see a list of all recorded changes with filters for date range, user, and type of adjustment.
Compliance Check for Audit Log Entries
Given a regulatory review is conducted, when the audit log is examined, then it should show a clear history of all inventory changes with no gaps in timestamps and complete user accountability.
Searching for Specific Inventory Changes
Given the user wants to view a specific inventory change, when they search the audit log by item ID or change reason, then the log should return relevant entries matching the search criteria.
Exporting Audit Log Data
Given the user needs to share audit log information, when they select the export option, then the system should allow them to download the audit log in a selectable format (CSV, PDF) including all visible entries.
Notification of Audit Log Updates
Given an inventory change occurs, when the change is logged in the audit trail, then a notification should be sent to relevant users indicating that an update has been made.
User Role Management for Inventory Access
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User Story
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As a system administrator, I want to control user access to inventory data so that I can ensure sensitive information is protected while allowing essential staff to manage stock effectively.
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Description
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This requirement involves the creation of a user role management system that allows businesses to define who can access and modify inventory data. By implementing roles and permissions, businesses can safeguard sensitive inventory information while allowing different team members to perform their tasks effectively. This feature will require a user interface for role assignment, alongside backend logic to enforce permissions during inventory operations. The benefits include improved security, reduced risk of erroneous data alterations, and better accountability for actions taken within the inventory system.
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Acceptance Criteria
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User Role Assignment for Access Management
Given that an admin user is on the user management page, when they create a new user role and assign specific permissions, then the new role should be reflected in the user role list and effective immediately for future login sessions.
Permission Enforcement during Inventory Transactions
Given a user is assigned a role with restricted access, when they attempt to modify inventory data or access inventory reports, then the system should prevent the action and display an appropriate error message indicating insufficient permissions.
Audit Trail for Role-Based Actions in Inventory Management
Given users are performing inventory operations, when an action is taken (create, update, delete), then the system should log the user ID, action type, and timestamp to an audit trail, ensuring accountability and traceability.
Role-based Access to Inventory Reports
Given a user with a defined role logs into the system, when they navigate to the inventory reports section, then they should only see reports that their role is allowed to access, with all other reports hidden from view.
User Interface for Role Management
Given an admin user is on the role management interface, when they select a role to edit, then they should see all current permissions listed with options to add or remove permissions accurately and without errors.
Smart Payment Alerts
Smart Payment Alerts notify e-commerce managers immediately when a payment is successfully completed or if an issue arises during the transaction process. This enhances operational efficiency, allowing users to react promptly to any payment-related concerns and ensuring that customer orders are fulfilled without unnecessary delays.
Requirements
Payment Success Notification
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User Story
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As an e-commerce manager, I want to receive immediate notifications for successful payments so that I can promptly fulfill customer orders without delays.
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Description
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The Payment Success Notification requirement ensures that e-commerce managers receive immediate alerts when payments are successfully completed. This feature leverages real-time payment processing data to send notifications through various channels such as email, SMS, and in-app alerts. By promptly informing users about successful transactions, this requirement enhances operational efficiency and minimizes delays in fulfilling customer orders. It integrates seamlessly with the existing payment processing system, ensuring that merchants can act quickly to manage inventory and order delivery. The expected outcome is a reduction in fulfillment delays and improved customer satisfaction as e-commerce managers can proactively respond to payment confirmations.
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Acceptance Criteria
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E-commerce manager receives an alert when a payment is successfully processed for a customer's purchase.
Given that a payment has been successfully processed, when the e-commerce manager checks their notification channels, then they should receive an alert through at least one of the following: email, SMS, or in-app notification.
E-commerce manager verifies that the notification contains the correct transaction details after receiving a payment success alert.
Given that the e-commerce manager receives a payment success notification, when they review the notification, then the notification must include the transaction ID, payment amount, and customer information accurately.
E-commerce manager needs to test the responsiveness of the notification system under high transaction volume.
Given a high volume of transactions, when payments are processed simultaneously, then all payment success notifications must be delivered within 5 seconds without any omissions.
E-commerce manager checks for issues in payment processing to ensure the alert system is reliable.
Given that a payment fails, when the e-commerce manager reviews their alerts, then they should not receive a payment success notification for that transaction and should receive an alert indicating the failure instead.
E-commerce manager wants to customize notification preferences for different channels.
Given the user settings page, when the e-commerce manager selects their preferred channels for notifications, then their choices must be saved, allowing them to receive notifications only through specified channels going forward.
E-commerce manager is concerned about the timely delivery of payment notifications to avoid delays in order fulfillment.
Given the payment has been processed, when the alert is sent out, then the alert must be received by the e-commerce manager within 30 seconds or less of the payment confirmation.
E-commerce manager reviews historical payment notifications for auditing purposes.
Given the payment success alert history, when the e-commerce manager accesses the alert logs, then they should be able to view a comprehensive list of all notifications sent, including timestamps and transaction details for at least 30 days.
Payment Issue Alerts
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User Story
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As an e-commerce manager, I want to be alerted immediately of payment issues so that I can address them quickly and ensure a smooth transaction experience for my customers.
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Description
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The Payment Issue Alerts requirement is designed to inform e-commerce managers immediately when there is a problem during the payment process, such as payment failures or chargebacks. This functionality should include customizable alert settings to ensure that users receive notifications based on their preferred methods, including push notifications and email alerts. By flagging issues in real-time, this requirement allows managers to address problems quickly, helping to avoid lost sales and improving customer service. Integration with the existing payment processing systems will ensure that alerts are generated accurately and efficiently. The outcome is that users can resolve payment issues proactively, decreasing the likelihood of negative customer experiences.
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Acceptance Criteria
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E-commerce manager sets up payment issue alerts for their online store.
Given the user is in the alert settings page, When the user selects notification methods for payment issues (push notifications and email), Then the user should successfully save their preferences and receive a confirmation message.
Payment failure occurs during a customer's transaction.
Given a payment failure happens, When the payment processing system detects the failure, Then the e-commerce manager should receive an immediate notification via their selected notification methods indicating the failure.
A chargeback is initiated on a completed transaction.
Given a chargeback is processed, When the payment processing integration detects the chargeback, Then the e-commerce manager should receive an alert detailing the chargeback transaction and its reason via their selected methods.
E-commerce manager customizes alert settings after receiving initial notifications.
Given the user received a notification and wants to change alert settings, When the user accesses the alert settings and updates their preferences, Then the updated preferences should be saved, and the user should receive a confirmation message.
Notifications are received during peak shopping hours.
Given the e-commerce manager is actively monitoring sales during peak times, When a payment issue occurs, Then the alert should be sent immediately, ensuring the manager is notified without delay, regardless of the time.
A payment issue is resolved by the e-commerce manager after receiving an alert.
Given the e-commerce manager receives an alert about a payment issue, When the manager resolves the issue, Then the system should log the resolution and the manager should receive a follow-up notification confirming that the issue has been resolved.
Custom Notification Preferences
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User Story
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As an e-commerce manager, I want to customize my notification preferences for payment alerts so that I receive updates in the way that suits my workflow best.
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Description
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The Custom Notification Preferences requirement allows e-commerce managers to set their own notification preferences for payment alerts, including the choice of notification channels (e.g., email, SMS, in-app). This feature enhances user experience by providing flexibility and personalization based on individual needs. Users can determine the type of alerts they wish to receive, tailoring the system to their operational workflow. This adaptability improves user satisfaction and ensures that e-commerce managers receive critical alerts in a manner that suits their business environment. The integration will require a settings interface where users can easily adjust their preferences. The resulting benefit is improved user engagement with the platform, as they can customize their alert system for maximum effectiveness.
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Acceptance Criteria
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E-commerce manager accesses the Custom Notification Preferences settings to configure their notification channels for payment alerts.
Given the e-commerce manager is on the Custom Notification Preferences page, When they select their preferred notification channels (email, SMS, in-app), Then their preferences should be saved and reflected in their account settings.
An e-commerce manager receives a successful payment alert via their selected notification channel.
Given the e-commerce manager has enabled email notifications for successful payments, When a payment is successfully completed, Then an email alert should be received within 5 minutes of the transaction being processed.
An e-commerce manager sets their notification preferences to receive alerts only for failed payments.
Given the e-commerce manager sets their preferences to receive alerts for failed payments only, When a payment fails, Then an alert should be sent via the selected notification channel (email, SMS, or in-app), and no alert should be sent for successful payments.
An e-commerce manager tries to set preferences but encounters a validation error for an unsupported notification channel.
Given the e-commerce manager enters an unsupported notification channel in the Custom Notification Preferences, When they attempt to save their preferences, Then an error message should be displayed indicating the channel is not supported and preferences should not be saved.
An e-commerce manager changes their notification preferences and wants to verify the changes are correctly implemented.
Given the e-commerce manager updates their notification preferences and saves them, When they navigate away and return to the Custom Notification Preferences page, Then the updated preferences should be displayed correctly without requiring re-entry.
An e-commerce manager wishes to receive alerts at different times depending on the time of day.
Given the e-commerce manager configures time-based rules for notifications, When a payment alert is triggered outside of the specified time range, Then the alert should not be sent until the defined operating hours.
Alert History Tracking
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User Story
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As an e-commerce manager, I want to access a history of payment alerts so that I can analyze trends and improve my payment processes.
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Description
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The Alert History Tracking requirement enables e-commerce managers to view a history of all payment notifications, both successful and failed. This feature facilitates better record-keeping and allows managers to analyze past payment issues and resolutions over time. By providing insights into payment trends and the frequency of issues, this capability helps in refining operational processes and improving customer service strategies. The implementation will involve creating a user-friendly interface that displays alert history by date and type, making it easy for users to review past alerts. The anticipated outcome is better operational insight and enhanced capability to manage future transactions more effectively.
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Acceptance Criteria
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Viewing Payment Alert History
Given an e-commerce manager is logged into the InvenTech platform, when they navigate to the Alert History section, then they should see a list of all payment notifications categorized by date and type, with successful and failed payments clearly marked.
Filtering Alert History
Given an e-commerce manager is on the Alert History page, when they apply filters for date range and alert type, then only the relevant alerts should be displayed on the page as per the selected criteria.
Exporting Alert History
Given an e-commerce manager has accessed the Alert History, when they click on the export button, then they should receive a downloadable file of the alert history in CSV format containing all relevant data.
Search Functionality in Alert History
Given an e-commerce manager is on the Alert History page, when they enter a search term that matches any alert description, then the page should display only those alerts that include the search term.
Display Alert Count
Given an e-commerce manager views the Alert History page, then the total count of all alerts (successful and failed) should be displayed prominently at the top of the list.
User Interface Consistency
Given an e-commerce manager accesses the Alert History feature, then the user interface should be consistent with the overall design of the InvenTech platform, including color schemes, fonts, and navigation elements.
Performance of Alert History Load Time
Given an e-commerce manager opens the Alert History page, then the page should load within 3 seconds even when displaying over 100 alerts.
Multi-Channel Integration
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User Story
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As an e-commerce manager, I want to receive payment alerts through multiple channels so that I can respond quickly regardless of where I am working.
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Description
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The Multi-Channel Integration requirement ensures that payment alerts can be sent through various communication channels such as web, mobile app, and social media platforms. This functionality is crucial for modern e-commerce operations, as it allows managers to receive alerts in whichever manner is most convenient for them. By integrating with multiple channels, this feature enhances the likelihood that alerts will be seen and acted upon quickly. This requirement will involve collaboration with current communication APIs to ensure seamless integration and consistent messages across platforms. The expected benefit is enhanced responsiveness and improved operational adaptability for e-commerce managers.
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Acceptance Criteria
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E-commerce manager receives a payment completion alert through their mobile app while on the go, allowing them to immediately verify the transaction and proceed with order fulfillment.
Given that a payment is successfully completed, when the system detects the transaction, then an alert should be sent to the manager's mobile app within 5 seconds.
An e-commerce manager is logged into the web dashboard and receives a notification about a failed payment, enabling them to take swift action to resolve the issue.
Given that a payment fails, when the issue is identified, then an alert should be sent to the web dashboard within 3 seconds, clearly detailing the reason for failure.
A manager uses multiple social media platforms for their business and wants to receive payment alerts through their preferred channels without missing critical notifications.
Given that the manager has linked multiple social media accounts to the system, when a payment alert is generated, then notifications should be sent to all selected channels (Facebook, Twitter) within 4 seconds.
The e-commerce manager is at an off-site meeting and relies on SMS notifications for payment alerts to ensure timely responses.
Given that the manager has opted for SMS notifications, when a payment is processed, then an SMS alert should be sent within 2 seconds, containing all essential transaction details.
An e-commerce manager checks their email during the day and expects to receive daily summaries of payment alerts to keep track of transactions.
Given that the manager has subscribed to daily summaries, when the notification is delivered, then the email should summarize all successful and failed transactions in a concise format by the end of each day.
The payment alert system needs to handle multiple transactions at peak times without delay or missed notifications.
Given that there are multiple transactions processed simultaneously, when the alerts are generated, then each alert should be sent out reliably without any delay exceeding 5 seconds for each transaction.
An e-commerce manager wants to customize which payment events trigger alerts based on the severity of the event (e.g., failed payment vs successful payment).
Given that the manager can set alert preferences, when a payment event occurs, then alerts should respect the manager's settings and only notify based on selected criteria (success, failure, etc.).
Cart Recovery Integration
Cart Recovery Integration leverages the payment processing engine to automatically send reminders to customers who abandon their carts before completing a transaction. By integrating with email marketing tools, this feature helps recover lost sales opportunities, driving higher conversion rates and improving overall customer satisfaction.
Requirements
Automated Cart Reminders
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User Story
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As an online store owner, I want automated reminders sent to customers who abandon their carts so that I can recover lost sales and boost my conversion rates without dedicating significant time to follow-ups.
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Description
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This requirement focuses on the automation of cart recovery reminders sent to customers who abandon their carts. The feature will integrate with the existing payment processing engine to trigger email reminders automatically after a cart is abandoned. This is critical for recovering lost sales opportunities, improving conversion rates by reminding customers of their intended purchases, and enhancing overall user experience by keeping the brand top-of-mind. The automated system will ensure timely follow-ups, minimizing manual overhead for the users and maximizing the efficacy of the reminders. Implementation involves connecting the payment processing system with popular email marketing tools to streamline this process seamlessly.
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Acceptance Criteria
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Customer Abandonment of Cart with Notification Option
Given a customer has added items to their cart but has not completed the checkout process, When the cart remains abandoned for 30 minutes, Then an automated email reminder is triggered and sent to the customer's registered email address.
Integration with Email Marketing Tool
Given the InvenTech system has detected an abandoned cart, When a reminder email is sent, Then the email must be sent using the integrated email marketing tool within 30 minutes following the abandonment notification.
Personalization of Reminder Emails
Given a customer receives a cart recovery email, When they view the email, Then the email content must include a personalized greeting, details of the abandoned items, and a direct link to the cart for completion of the purchase.
Tracking Email Open and Click Rates
Given that cart recovery emails are sent to customers, When statistics are collected, Then the system must report the open and click-through rates within 24 hours after the emails are sent.
Customer Follow-Up After Purchase Completion
Given a customer who received a cart recovery email and subsequently completed a purchase, When the purchase is confirmed, Then a follow-up thank-you email must be sent to the customer within 24 hours.
Error Handling in Email Sending Process
Given an email fails to send due to a technical issue, When the error occurs, Then the system must log the error and attempt to resend the email after two hours.
User Interface for Managing Cart Recovery Settings
Given an admin user wants to configure cart recovery settings, When they access the settings menu, Then they must be able to customize timing, email templates, and integration settings for the cart recovery feature.
Integration with Email Marketing Tools
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User Story
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As a marketer, I want to integrate my email marketing platform with cart recovery so that I can easily manage my customer communications and improve engagement with personalized messages.
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Description
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This requirement aims to establish robust integrations with popular email marketing platforms, enabling seamless communication for cart recovery. By connecting cart recovery reminders with email marketing tools, users can personalize their messages, segment their audience, and analyze engagement metrics. This integration enhances marketing effectiveness by allowing targeted campaigns for different customer behaviors and elevates the potential for conversion through sophisticated messaging strategies. It ensures that users can set up and manage their cart recovery communication in line with their overall marketing strategy without any technical hurdles, leveraging existing tools they are familiar with.
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Acceptance Criteria
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User sets up integration with an email marketing tool to send cart recovery reminders.
Given the user has logged into InvenTech and navigated to the Cart Recovery Integration settings, when they select an email marketing tool from a predefined list and enter the required API credentials, then the integration should be established successfully and a confirmation message should be displayed.
User customizes the cart recovery email template within InvenTech after integrating with the email marketing tool.
Given the user has successfully integrated their email marketing tool, when they access the email template editor in the Cart Recovery settings, then they should be able to modify the subject line, content, and call-to-action elements, and save the changes without errors.
User sends a cart recovery reminder to a customer who abandoned their cart.
Given a customer has abandoned their cart and the cart recovery integration is active, when the recovery email is scheduled to be sent after a predefined time period, then the customer should receive the email within 5 minutes of the scheduled time.
User segments their audience in the email marketing tool based on cart abandonment behavior.
Given the user is on the audience segmentation page of their email marketing tool, when they apply filters based on customer shopping behavior, then they should be able to create at least three distinct segments for users who abandoned their carts, with criteria such as time since abandonment and total cart value.
User analyzes engagement metrics of cart recovery emails sent through the integrated tool.
Given the integration is set up and emails have been sent, when the user accesses the analytics dashboard for the email marketing tool, then they should see metrics such as open rates, click-through rates, and conversion rates specifically for the cart recovery emails sent, updated in real-time.
User tests the integration to ensure that the communication flow is seamless.
Given the integration is configured, when the user triggers a test cart abandonment scenario, then they should confirm that the cart recovery email is sent to their designated test email address successfully, and that it matches the designed template.
User can easily manage and edit their cart recovery settings post-integration.
Given the user is in the Cart Recovery Integration settings, when they attempt to change any parameter (like time intervals for sending reminders or email content), then the changes should be saved successfully and reflected in the settings without resetting other configurations.
Mobile Notification Alerts
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User Story
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As an e-commerce store owner, I want to receive mobile notifications for abandoned carts so that I can respond quickly and maximize the chances of recovering sales on the go.
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Description
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The requirement involves developing mobile notification alerts for cart recovery reminders, allowing users to receive real-time updates on abandoned carts directly on their mobile devices. This feature enhances the immediacy of reminders and allows store owners to take quick action when abandonment occurs. By integrating with mobile apps or services, this capability ensures store owners can respond promptly to customer behavior, leveraging time-sensitive offers or reminders to drive conversions. This functionality is essential to cater to the growing demand for mobile responsiveness in e-commerce, ensuring users can engage effectively from anywhere.
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Acceptance Criteria
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User receives a mobile notification alert soon after a cart abandonment occurs, prompting immediate follow-up actions.
Given a customer abandons their cart, when the abandonment event is detected, then the store owner should receive a mobile notification within 5 minutes of the event.
The mobile notification contains relevant and personalized information related to the abandoned cart.
Given a customer abandons their cart, when the store owner receives a mobile notification, then the notification should include the item(s) left in the cart along with a personalized message or offer.
Store owners can seamlessly configure notification settings through the InvenTech platform.
Given the store owner navigates to the notification settings, when they enable or disable mobile notifications for cart recoveries, then the settings should be saved and reflected in real-time on the mobile app.
Users can enable notifications for specific product categories to prioritize important cart reminders.
Given a store owner wants to configure category-specific notifications, when they select specific product categories for notifications, then the mobile alerts should only trigger for abandoned carts containing those selected categories.
Store owners can track the effectiveness of mobile notifications in recovering abandoned carts.
Given a time period after mobile notifications have been implemented, when the store owner reviews the analytics dashboard, then they should see statistics on the number of recovered carts attributed to mobile alerts.
The mobile notification system is operational and integrated with popular mobile platforms.
Given the mobile notification system is deployed, when a cart abandonment occurs, then notifications should be successfully sent to both iOS and Android devices without delays.
Users receive feedback confirmations on the actions taken after receiving mobile notifications.
Given a store owner takes action from a mobile notification reminder, when the action is completed, then the mobile app should display a confirmation message to the store owner confirming the action was recorded.
Analytics Dashboard for Cart Recovery
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User Story
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As an online merchant, I want an analytics dashboard for my cart recovery efforts so that I can track performance and optimize my strategies to improve overall sales.
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Description
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This requirement focuses on creating a comprehensive analytics dashboard that tracks the performance of cart recovery efforts. Users will have access to data such as the number of abandoned carts, recovery rates, and conversion metrics associated with reminders sent. This dashboard will enable store owners to evaluate the effectiveness of their cart recovery strategies and make data-informed decisions on future marketing efforts. By providing visual and actionable insights, users can optimize their campaigns based on performance trends and enhance overall sales effectiveness through informed adjustments.
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Acceptance Criteria
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User accesses the analytics dashboard to view cart recovery performance data after setting up the Cart Recovery Integration feature.
Given the Cart Recovery Integration is active and data has been collected for at least one week, when the user navigates to the analytics dashboard, then they should see a summary of abandoned carts, recovery rates, and conversion metrics.
An user customizes the date range for the analytics dashboard to evaluate cart recovery performance during a specific promotional period.
Given the user has access to the analytics dashboard, when they select a custom date range for report generation, then the dashboard accurately reflects cart recovery metrics only for the specified dates.
Store owner reviews the trend line for cart recovery rates over time displayed in the analytics dashboard.
Given there is historical data available, when the store owner views the trend line graph on the dashboard, then the graph should display a clear visual representation of cart recovery rates over the selected time period.
User wants to understand which email reminders were most effective in recovering carts.
Given that the analytics dashboard includes email reminder metrics, when the user filters the data by email type, then they should see recovery rates and conversion metrics associated with each type of email reminder sent.
Store owner checks for alerts regarding sudden drops in recovery rates on the analytics dashboard.
Given the analytics dashboard has monitoring capabilities, when the recovery rate drops below a set threshold, then an alert notification should appear on the dashboard indicating the need for investigation.
User exports cart recovery performance data for further analysis offline.
Given the analytics dashboard has an export feature, when the user clicks on the export button, then they should successfully download a CSV file containing the performance data for the selected time period.
A/B Testing for Email Campaigns
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User Story
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As a marketer, I want to perform A/B testing on my cart recovery emails so that I can find the most effective messaging to recover more abandoned carts and boost my sales.
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Description
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This requirement covers the implementation of A/B testing capabilities for cart recovery email campaigns. Users will be able to create multiple variants of reminder emails to test against each other to determine which messages yield the highest conversion rates. This feature will provide valuable insights into audience preferences and optimize communication strategies over time. It is vital for users to continuously enhance their marketing efforts based on real data, ensuring effective use of resources and maximizing return on investment for their campaigns.
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Acceptance Criteria
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A user creates two different variants of a cart recovery email (Variant A and Variant B) to test their effectiveness in driving customer conversions after cart abandonment.
Given that the user has created two email variants, when they initiate an A/B test campaign, then the system must randomly assign half of the abandoned cart customers to receive Variant A and the other half to receive Variant B.
The user wants to analyze the results of an A/B test for their cart recovery emails after a predetermined period.
Given that the A/B test campaign has run for at least one week, when the user checks the campaign analytics, then they should see a comparison of open rates, click-through rates, and conversion rates for both email variants, displayed in a clear and concise manner.
The system automatically sends out cart recovery email variants to customers based on their cart abandonment behavior.
Given that a customer abandons their cart, when the automated email campaign triggers, then the customer should receive one of the email variants (A or B) based on the ongoing A/B test schedule, without any manual intervention required from the user.
The user updates the content of Variant A and re-runs an A/B test.
Given that the user has edited the content of Variant A, when they save the changes and initiate a new A/B test, then the system should use the updated Variant A in the next round of tests while keeping Variant B unchanged for comparison.
The user needs to segment their customer list based on past behavior for targeted A/B testing of cart recovery emails.
Given that the user has access to customer segmentation tools, when they select a segment based on customers who have abandoned carts in the last month, then the system must allow the user to run the A/B test specifically for this selected segment of customers.
The user requires clear instructions on how to set up an A/B test for their cart recovery emails.
Given that the user is on the A/B testing setup page, when they access the help documentation, then they must see step-by-step instructions that guide them through the process of creating variants, selecting test parameters, and analyzing results.
The user wants to measure the overall performance improvement after implementing A/B testing for their email campaigns.
Given that the user has run multiple A/B tests over a period of three months, when they view the performance dashboard, then they should see a statistical summary indicating the improvements in conversion rates compared to the previous baseline metrics before A/B testing was implemented.
Multi-Channel Payment Support
Multi-Channel Payment Support allows e-commerce managers to accept payments through various platforms and methods, including credit cards, digital wallets, and buy-now-pay-later options. This feature broadens the sales potential by catering to customer preferences and enhancing the shopping experience, ultimately leading to increased sales.
Requirements
Integration with Payment Gateways
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User Story
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As an e-commerce manager, I want to integrate multiple payment gateways so that my customers can choose their preferred payment method, leading to improved sales and customer satisfaction.
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Description
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The Integration with Payment Gateways requirement will ensure that InvenTech can seamlessly connect with various popular payment gateways such as PayPal, Stripe, and Square. This integration enables e-commerce managers to manage transactions efficiently across multiple platforms, offering customers a versatile payment experience. The feature will enhance operational efficiency by automating payment processing, which reduces manual entry errors and streamlines reconciliation tasks. By providing a range of payment options, it also boosts customer satisfaction and can help in increasing conversion rates, ultimately contributing to greater sales revenue for businesses.
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Acceptance Criteria
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E-commerce managers use InvenTech's payment gateway integration to process customer transactions during peak shopping hours, ensuring that all payment methods are available and functional.
Given the e-commerce manager initiates a transaction using PayPal, when the payment is processed, then the system should confirm the payment success and update the inventory accordingly.
During a sales promotion, customers attempt to pay using various methods (credit cards, digital wallets, and buy-now-pay-later options), testing the system's capabilities to handle increased transaction volumes.
Given a customer selects the buy-now-pay-later option at checkout, when completing the payment, then the system should successfully process the payment and provide confirmation without errors.
InvenTech integrates with Stripe to allow e-commerce managers to receive payments, and managers need to view detailed transaction reports to manage their finances effectively.
Given the e-commerce manager accesses the transaction report, when the report is generated, then it should display all transactions processed through Stripe, including transaction IDs, amounts, and payment status, for the last 30 days.
E-commerce managers provide support to customers who encounter issues during payment processing, and they rely on the integration to streamline issue resolution.
Given a customer reports an issue with a failed payment via Square, when the e-commerce manager checks the transaction logs, then the system should clearly indicate the reason for the failure to assist in troubleshooting.
During user acceptance testing, testers validate that InvenTech's payment gateway integrations work seamlessly across different devices (desktop and mobile).
Given a tester accesses the payment options on a mobile device, when a payment is processed, then the system should perform all transactions correctly and maintain the same functionality as on desktop.
As part of the onboarding process, new customers verify that they can set up their preferred payment gateways without extensive technical knowledge.
Given a new user is setting up payment gateways in InvenTech, when they follow the configuration wizard, then they should be able to complete the integration without external assistance or technical support.
User-Friendly Interface for Payment Processing
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User Story
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As an e-commerce manager, I want a user-friendly interface for payment processing so that I can easily manage payment methods without requiring extensive technical knowledge.
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Description
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The User-Friendly Interface for Payment Processing requirement focuses on providing a clean and intuitive user interface for e-commerce managers to set up and manage payment options. This includes easy navigation for adding new payment methods, adjusting settings for existing methods, and viewing transaction history. The straightforward design will empower users with varied technical skills to efficiently handle payment configurations and enhance their shopping experience. A user-friendly interface not only reduces onboarding time but also minimizes the potential for errors, thereby ensuring smooth payment transactions at all stages of the customer journey.
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Acceptance Criteria
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User sets up a new payment method via the User-Friendly Interface in InvenTech.
Given the user is logged into InvenTech, when they navigate to the payment settings page and select 'Add New Payment Method', then they should see an intuitive form that allows input for payment details, and upon submission, the new method should appear in the list of available payment options.
User modifies an existing payment method's settings through the User-Friendly Interface.
Given the user is on the list of payment methods, when they click on the 'Edit' button next to an existing payment method, then they should be able to easily modify the payment details and save the changes without errors, with a confirmation message displayed afterward.
User views the transaction history via the User-Friendly Interface.
Given the user is on the payment dashboard, when they select the 'Transaction History' option, then they should be able to see a clear and organized list of past transactions, including details such as date, amount, and payment method used, all correctly formatted.
User experiences the onboarding process for setting up payment methods.
Given a new user is accessing the payment setup for the first time, when they follow the guided onboarding tutorial, then they should complete the setup process within 10 minutes with a 95% user satisfaction rate based on post-setup feedback.
User encounters an error while adding a payment method and receives feedback.
Given the user is inputting details for a new payment method, when they submit incomplete information, then the system should display an error message indicating the fields that need correction, allowing for user-friendly adjustments.
User accesses the payment method settings on a mobile device.
Given the user is accessing InvenTech from a mobile device, when they navigate to the payment method settings, then the interface should be responsive and maintain functionality without loss of usability or features, displaying correctly on various screen sizes.
User integrates a new payment method with their existing ERP system.
Given the user has added a new payment method, when they initiate integration with their ERP system, then the payment method should synchronize correctly with the ERP, reflecting accurate transaction records without discrepancies.
Mobile Payment Compatibility
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User Story
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As a customer, I want to be able to make payments through my mobile device so that I can shop conveniently at any time, enhancing my purchasing experience.
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Description
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The Mobile Payment Compatibility requirement involves ensuring that the multi-channel payment support feature is fully functional on mobile devices. As mobile shopping continues to grow, it is crucial that customers can complete their transactions seamlessly via smartphones and tablets. The adaptation will include responsive design elements that maintain usability and functionality across different screen sizes, ensuring that all payment options are accessible on mobile platforms. This enhancement will increase customer retention and satisfaction as users will have the flexibility to shop and pay anytime and anywhere, driving higher conversion rates.
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Acceptance Criteria
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A customer accesses the InvenTech mobile application on their smartphone and selects products to purchase. They choose to pay using a digital wallet option available within the app.
Given that the customer has the InvenTech mobile app open, When they select a product and proceed to checkout, Then the digital wallet payment option should be visible and functional, allowing the customer to complete the transaction without errors.
A user on a tablet device browses the InvenTech mobile application for inventory and decides to make a purchase using a credit card.
Given that the user is on the checkout page of the mobile app, When they select the credit card payment option, Then they should be able to enter their credit card details and submit the payment successfully, with confirmation displayed on the screen.
A customer attempts to use a buy-now-pay-later option on the InvenTech mobile app during the purchase process.
Given that the customer has chosen items in their cart, When they select the buy-now-pay-later payment method, Then they should be redirected to a secure verification page to authorize the payment plan and receive instant approval feedback.
Admins need to verify how the mobile payment compatibility works across different mobile operating systems (iOS and Android).
Given that the admins have access to both iOS and Android devices, When they navigate through the payment process in the mobile app on each platform, Then all payment methods should function identically without any discrepancies or issues present on either operating system.
A customer with a malfunctioning internet connection tries to complete a purchase on the mobile app.
Given that the customer’s internet connection is unstable during checkout, When they attempt to submit their payment, Then the app should display a clear error message indicating the payment could not be processed and offer options to retry or save their cart for later.
A user logs in to the InvenTech mobile app and accesses their previous orders to repeat a purchase.
Given that the user has made previous purchases, When they select a previous order and initiate the checkout process, Then they should be able to choose any available payment method easily and complete the transaction as expected.
Security Compliance for Payment Transactions
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User Story
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As a compliance officer, I want to ensure that all payment transactions are secure and compliant with industry standards so that we protect customer data and avoid legal issues for the company.
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Description
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The Security Compliance for Payment Transactions requirement ensures that all payment processing is built to comply with the latest security standards, such as PCI DSS (Payment Card Industry Data Security Standard). This measure is paramount in protecting customer data and building trust with users during the payment process. By implementing strong encryption methods and secure transaction protocols, InvenTech will safeguard sensitive financial information and reduce the risk of fraud. This requirement not only fulfills legal obligations but also enhances the overall reputation and credibility of the platform in the marketplace.
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Acceptance Criteria
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Security Compliance for Payment Transactions on a Live E-commerce Platform.
Given the payment processing system, when a customer initiates a payment using a credit card, then the transaction must be encrypted using SSL/TLS protocols and comply with PCI DSS standards.
User Interaction with the Payment Gateway during Checkout.
Given that a user is completing a purchase, when they enter their payment information and submit, then the system should flag any non-compliance with security standards and prevent transaction completion until issues are resolved.
Handling of Payment Data Storage and Retrieval.
Given that the payment information is securely stored, when the system retrieves payment data for processing, then it must utilize secure access controls and audit logs to track access to sensitive data.
Transaction Monitoring and Fraud Detection Mechanism.
Given that transactions are being processed, when an unusual pattern is observed, then the system must trigger an alert for manual review and temporarily halt processing until verified.
User Notification for Payment Security Measures.
Given that a payment transaction is completed, when the user finishes their purchase, then the system should notify the user via email about the security measures taken during the transaction.
Compliance Audit for Payment Processing Systems.
Given that the security compliance protocols are implemented, when an audit is conducted, then the system must demonstrate adherence to PCI DSS requirements through documented processes and controls.
Integration with Third-Party Payment Processors.
Given that the InvenTech platform integrates with various third-party payment processors, when a payment method is selected, then it must ensure compliance with security protocols specific to that provider.
Analytics Dashboard for Payment Performance
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User Story
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As an e-commerce manager, I want an analytics dashboard for payment performance so that I can assess which payment methods are most effective and make data-driven decisions to increase sales.
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Description
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The Analytics Dashboard for Payment Performance requirement involves creating a dashboard that provides insights into payment transactions across different channels. This feature allows e-commerce managers to monitor payment success rates, transaction volumes, and declined transactions. The analysis will enable users to make informed decisions regarding payment method offerings, identifying trends and user preferences. By understanding payment performance, businesses can optimize their payment strategies to improve revenue and enhance customer satisfaction, ultimately leading to better operational efficiency.
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Acceptance Criteria
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E-commerce managers log into InvenTech's Analytics Dashboard to view payment performance metrics for the last quarter, focusing on their multi-channel payment methods.
Given the e-commerce manager is logged into the Analytics Dashboard, when they select the 'Payment Performance' tab, then they should see a visual representation of payment success rates, transaction volumes, and declined transactions grouped by payment method for the last quarter.
A user wants to analyze the payment trends to optimize their payment strategies across different platforms.
Given the user accesses the Analytics Dashboard, when they filter the data by payment method and select a date range, then they should be able to view detailed insights including the percentage of successful transactions, total transaction volume, and decline reasons for each selected payment method.
An e-commerce manager prepares a report for stakeholders on the performance of payment channels used in the last month.
Given the e-commerce manager is on the Analytics Dashboard, when they choose to export the payment performance data for the last month, then a downloadable report should be generated in CSV format that includes all relevant metrics such as transaction counts, success rates, and declines.
The e-commerce manager identifies a low conversion rate for a specific payment method using the Analytics Dashboard.
Given the e-commerce manager is viewing the payment performance metrics, when they notice a below-average success rate for a specific payment method over the last month, then an alert should prompt the user to investigate this payment method further for potential issues.
A user needs to access the dashboard on a mobile device to check payment performance during a meeting.
Given the user accesses the InvenTech platform from their mobile device, when they navigate to the Analytics Dashboard, then the dashboard should display all payment performance metrics in a mobile-optimized format with appropriate responsiveness and usability features.
An e-commerce manager wants to compare payment performance metrics against previous quarters to assess growth.
Given the e-commerce manager is using the Analytics Dashboard, when they select a comparison option for multiple quarters, then the system should display an aggregate view including graphs and metrics comparing payment methods against previous quarters visually.
A user is interested in understanding customer preferences for payment methods to make decisions about future offerings.
Given the user is looking at the Analytics Dashboard, when they review the metrics available for each payment method, then they should see insights such as user demographics and preferences based on payment method usage, helping inform their strategy.
User-Friendly Checkout Flow
User-Friendly Checkout Flow optimizes the payment process for customers, ensuring a streamlined and intuitive checkout experience. By minimizing the number of steps required to complete a purchase and offering auto-fill options, this feature reduces friction during the payment process, resulting in higher conversion rates.
Requirements
Streamlined Payment Process
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User Story
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As an online shopper, I want a quick and simple checkout process so that I can complete my purchases without frustration or delay.
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Description
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The Streamlined Payment Process requirement involves creating an efficient and straightforward checkout experience that minimizes the number of steps customers must complete when making a purchase. This feature will implement auto-fill options to automatically input user information based on their saved profiles or common data fields (e.g., billing information, shipping address). By reducing redundancy and friction in the payment workflow, it aims to significantly enhance user satisfaction and boost conversion rates. This requirement is crucial to address cart abandonment issues commonly faced by online retailers, as a more efficient payment process can lead to increased sales and overall customer retention.
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Acceptance Criteria
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User completes a purchase in an online store using the streamlined payment process during a sale event.
Given the user has items in their cart and proceeds to checkout, when they enter their email associated with a saved profile, then the system should auto-fill the billing and shipping information accurately without manual input.
Customer revisits the platform and attempts to reorder with previously saved payment information.
Given the customer is logged into their account, when they select 'Reorder' from their order history, then the payment section should automatically populate with their saved payment method and shipping address, reducing the need for re-entry.
User abandons the cart during checkout due to complex payment steps.
Given a user initiates checkout but does not complete the purchase, when analyzed via analytics, then the exit survey should indicate the primary reason for cart abandonment falls below 10% related to 'too many steps in checkout'.
User utilizes the checkout process on a mobile device during peak shopping hours.
Given the user accesses the checkout page via a mobile device, when they follow the checkout process, then the time taken to complete the checkout should not exceed 2 minutes, ensuring a fast and efficient experience.
Customer encounters an error during checkout due to invalid payment details and seeks assistance.
Given a user submits their payment details and an error occurs because of invalid data, when they receive the error message, then the message should clearly indicate the issue and suggest corrective action without creating confusion.
New user finalizes the purchase using the streamlined payment process for the first time.
Given a new user adds items to their cart, when they attempt to checkout, then the system must allow them to create a profile and enter payment details in less than 5 steps total to complete their purchase smoothly.
Returning customer modifies their saved shipping address during checkout.
Given the returning customer sees their pre-filled shipping address, when they choose to edit the address, then the system should allow this change without resetting the entire checkout process ensuring a seamless user experience.
Real-Time Order Tracking
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User Story
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As a customer, I want to receive real-time updates about my order status so that I can know exactly when to expect my delivery.
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Description
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The Real-Time Order Tracking requirement ensures that customers can monitor the status of their orders at any moment. This feature will send automated updates to customers via email and mobile notifications when their order is processed, shipped, and out for delivery. The integration with logistics and courier services will allow for tracking links to be sent directly to customers. This capability enhances transparency and builds trust with customers, as they appreciate being informed about their purchase progression, thereby decreasing customer inquiries related to order status and improving overall service satisfaction.
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Acceptance Criteria
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Customer receives a real-time email notification upon the order being processed.
Given a customer has completed an order, when the order status changes to 'Processed', then an email notification with order details is sent to the customer.
Customer receives a mobile notification when the order is shipped.
Given a customer's order has been marked as 'Shipped', when the logistics provider updates the status, then a mobile push notification is sent to the customer's device.
Customer accesses a tracking link to monitor their order progress.
Given a customer has an order that is in transit, when they click on the tracking link in their notification, then they should be redirected to a tracking page displaying the current status and location of their order.
Customer receives updates at each stage of the order process.
Given a customer has placed an order, when the order status changes to 'Processed', 'Shipped', or 'Out for Delivery', then corresponding notifications are sent via email and mobile for each status update.
Time taken to receive order notifications is within acceptable limits.
Given an order status change, when the customer checks their notifications, then they should receive notification updates within 5 minutes of the status change.
System integration with logistics partners for order tracking is functioning correctly.
Given the need for real-time tracking, when an order is dispatched, then the system should automatically retrieve the tracking information from the logistics provider.
Customer satisfaction is measured post-implementation of order tracking feature.
Given the new tracking feature is implemented, when customers are surveyed about their experience, then at least 80% should report higher satisfaction due to real-time updates.
Multi-Channel Payment Integration
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User Story
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As a frequent online buyer, I want the ability to pay using my preferred payment method so that I can complete my transactions easily and quickly.
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Description
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The Multi-Channel Payment Integration requirement seeks to implement a payment solution that supports various payment methods (credit/debit cards, digital wallets, etc.) across multiple sales channels, including web and mobile environments. This requirement involves seamless integration with different payment gateways to facilitate transactions for our multi-channel inventory system. The aim is to provide users with flexible options tailored to their preferences, driving increased conversion and customer satisfaction by catering to diverse payment habits.
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Acceptance Criteria
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Multi-channel payment integration during an online shopping experience on the InvenTech platform, where a user adds products to their cart and proceeds to checkout on a mobile device.
Given a user has selected products and is ready to checkout on a mobile device, when they proceed to the payment step, then the system must display at least three payment options including credit cards, digital wallets, and bank transfers.
A customer attempts to complete a purchase using a digital wallet across the InvenTech web application.
Given a user is on the checkout page, when they select 'Pay with Digital Wallet', then the system should securely initiate the transaction through the integrated digital wallet provider and provide instant feedback on transaction success or failure.
Integration testing of the payment gateway with different payment methods simultaneously in a staging environment.
Given multiple payment methods are configured in the system, when transactions are tested across different gateways, then at least 95% of transactions must be processed successfully without errors or delays.
A returning customer wants to use the auto-fill function for their saved payment details during checkout on the web app.
Given a customer has previously saved their payment information, when they return to the checkout page, then the system should auto-fill their payment details correctly without requiring manual input.
A customer is making a purchase through the InvenTech mobile app and encounters an unsupported payment method.
Given a customer selects an unsupported payment method, when they attempt to complete the purchase, then the system should display a clear error message indicating that the payment method is not supported and suggest alternate payment options.
A customer wants to switch payment methods during the checkout process on the web app.
Given a user is in the process of checking out with one payment method selected, when they choose to change to a different payment method, then the system must allow them to switch without losing previously entered information, and present the new payment options available.
Monitoring transaction performance and analytics after the implementation of multi-channel payment integration.
Given the multi-channel payment feature has been live for one month, when analyzing the transaction reports, then the average transaction success rate must exceed 98% and customer complaints regarding payment errors should be less than 2% of total transactions.
User Profile Management
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User Story
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As a user, I want to create a profile so that my checkout process is faster and I can receive personalized recommendations based on my shopping history.
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Description
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The User Profile Management requirement enables customers to create and manage their profiles directly through the checkout interface. This feature will allow users to save addresses, payment methods, and communication preferences to streamline future transactions. User profiles will be secure, providing an easier and quicker checkout experience while maintaining user privacy. Additionally, this functionality enables the platform to cater personalized offers and more relevant promotions based on previous purchases and user behavior, enhancing the customer experience and driving loyalty.
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Acceptance Criteria
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User successfully creates a new profile through the checkout interface
Given a user is on the checkout page, when they fill out the profile creation form with valid information and submit, then the user profile should be created successfully and the user should receive a confirmation message.
User saves multiple addresses in their profile
Given a user has created a profile, when they add new addresses in their profile settings and save, then all addresses should be stored and displayed correctly in their profile for future checkout use.
User updates payment method in their profile
Given a user has a saved payment method, when they navigate to the payment settings and update the payment information, then the updated payment method should reflect in their profile for future transactions.
User sets communication preferences in their profile
Given a user is logged into their profile, when they select their preferred communication options and save, then the preferences should be recorded and applied to future communications from the platform.
User retrieves their profile information during checkout
Given a user is on the checkout page, when they are logged in, then their saved profile information (addresses, payment methods) should auto-fill in the corresponding fields during checkout.
User receives personalized offers based on profile data
Given a user has completed previous transactions and has a profile, when they view personalized offers on the platform, then the offers should be relevant to their past purchases and preferences.
Enhanced Security Measures
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User Story
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As a shopper, I want to feel secure during my online transactions so that I can trust that my personal and payment information is safe.
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Description
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The Enhanced Security Measures requirement is essential for ensuring a secure checkout process. This feature will implement advanced security protocols such as PCI compliance, two-factor authentication for user accounts during checkout, and encryption of sensitive data. These measures help build customer trust, as users are increasingly concerned about the safety of their information during online transactions. By prioritizing security, InvenTech will ensure compliance with regulatory standards while enhancing user confidence in the platform.
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Acceptance Criteria
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Scenario: A customer initiates the checkout process on InvenTech, adding items to their cart and proceeding to payment while ensuring secure login and payment methods are used.
Given that the customer is logged in, When they proceed to checkout, Then the system must require two-factor authentication before allowing any payment processes to begin.
Scenario: A customer completes their payment on InvenTech while their sensitive information is processed by the system.
Given a customer submits their payment information, When the transaction is processed, Then all sensitive data must be encrypted according to the latest encryption standards during transmission and storage.
Scenario: A customer browses the InvenTech platform and is required to review the security policies before completing a purchase.
Given that the customer is on the checkout page, When they click on the security information link, Then they must be able to view up-to-date security policies, including PCI compliance details, clearly and concisely.
Scenario: A recurring customer makes a quick purchase using stored payment information to enhance user experience during checkout.
Given the customer has a saved payment method, When they choose to use this method at checkout, Then the system must retrieve and autofill all relevant payment details without exposing the sensitive information to the user.
Scenario: A customer experiences issues with entering their payment information and encounters an error message during the process.
Given that the customer enters incorrect payment details, When they attempt to submit the payment, Then the system must display a clear error message indicating the problem and provide guidance on correcting the issue without losing their previous cart items.
Scenario: An administrator wants to ensure that all checkout processes comply with security regulations and policies.
Given that the admin has access to the system's backend, When they review the security compliance reports, Then the reports must provide complete and accurate information on the checkout process's adherence to all applicable security regulations.
Dynamic Discount Offers
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User Story
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As a returning customer, I want to receive discounts related to my purchases, so that I am incentivized to complete my transaction and consider additional products.
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Description
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The Dynamic Discount Offers requirement introduces the capability of providing relevant, timed discounts to customers during the checkout process based on their cart content or user behavior. For instance, offering a discount for related products or a loyalty discount based on previous purchases. This feature harnesses AI to analyze shopping behaviors and strategically apply discounts at crucial moments, maximizing conversion rates as well as customer satisfaction by enhancing the perceived value of purchases, ultimately leading to increased average order values.
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Acceptance Criteria
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Customer receives a relevant discount during checkout based on items in their cart.
Given a customer adds items to their cart, and some of the items qualify for a discount, When the customer proceeds to checkout, Then the discount should be automatically applied and displayed in the total amount.
Customers see personalized discount offers based on their shopping history during the checkout process.
Given a returning customer is logged into their account, When they reach the checkout page, Then relevant loyalty discounts based on previous purchases should be displayed prominently.
The system analyzes customer behavior in real-time to apply time-sensitive discounts.
Given an active customer is checking out and has spent more than a threshold amount, When they are within 5 minutes of checkout, Then a time-limited discount offer should pop up to encourage completion of the purchase.
The discount offer is visible and easily understandable to the user during checkout.
Given the customer is on the checkout page, When they view the applied discount, Then the discount should be clearly shown with a brief explanation of why it was applied (e.g., related products or loyalty), enhancing customer clarity and satisfaction.
The discount should dynamically adjust if the customer modifies their cart contents.
Given a customer has a discount applied, When they remove or add items in their cart, Then the total discount should update automatically and be reflected in the checkout summary.
Returning customers experience enhanced discount personalization during checkout.
Given a returning customer completes a purchase, When they return to the checkout, Then they should receive additional personalized discounts based on their previous transactions and behavior.
The discount application process should not cause any delays in the checkout flow.
Given a customer is checking out, When they reach the payment process, Then the discount calculation and presentation should occur instantly without delaying the checkout completion.
Comprehensive Payment Analytics
Comprehensive Payment Analytics provides e-commerce managers with detailed insights into payment transactions, customer behavior, and sales patterns. This feature allows users to analyze transaction data closely, helping them identify sales trends, optimize pricing strategies, and drive informed business decisions based on real-time financial insights.
Requirements
Real-time Payment Monitoring
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User Story
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As an e-commerce manager, I want to monitor payment transactions in real-time so that I can promptly address any issues and improve customer satisfaction.
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Description
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Real-time Payment Monitoring is a requirement that enables e-commerce managers to observe payment transactions as they occur. This feature provides immediate feedback on the status of payments, allowing managers to quickly address any issues that may arise during the transaction process. By integrating real-time notifications into the dashboard, users can enhance their responsiveness to customer inquiries and efficiently manage cash flow. This requirement ensures that payment data is not only current but also accessible, facilitating quick decision-making and improving overall customer experience.
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Acceptance Criteria
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E-commerce manager views real-time payment notifications on the dashboard during a busy sale period to monitor transaction statuses and promptly address any issues.
Given the e-commerce manager is logged into the InvenTech platform, when a payment is initiated, then the dashboard should display a real-time notification indicating whether the payment was successful, pending, or failed.
The e-commerce manager assesses payment transaction trends over the past month to identify peak sales times and customer purchasing behaviors.
Given the e-commerce manager accesses the payment analytics section, when they select the past month filter, then the system should display a summary of payment transactions segmented by time of day and day of the week.
The e-commerce manager receives alerts for failed transactions in real-time to quickly resolve payment related issues before they escalate.
Given that a payment fails, when the failure occurs, then the system must immediately send a notification to the e-commerce manager's dashboard and email with details including the transaction ID and reason for failure.
During a promotional event, the e-commerce manager monitors payment success rates in real-time to measure the effectiveness of the campaign.
Given the promotional event is live, when the e-commerce manager views payment statistics, then the dashboard should display a real-time success rate percentage along with a count of successful and failed transactions for the event.
The e-commerce manager evaluates the effectiveness of different payment methods over a quarter to identify which methods yield the highest transaction success rates.
Given the e-commerce manager navigates to the payment methods report, when they analyze the report, then it should show a breakdown of transaction success rates per payment method used during the quarter.
During peak shopping hours, the e-commerce manager needs to quickly identify potential issues in payment processing to maintain customer satisfaction.
Given that peak shopping hours are active, when the e-commerce manager checks the real-time payment monitoring feature, then they should be able to view a live stream of payment activity, highlighting any delays or issues that require attention.
Customer Behavior Analysis
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User Story
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As an e-commerce manager, I want to analyze customer behavior based on payment data so that I can tailor my marketing strategies and improve customer engagement.
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Description
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Customer Behavior Analysis focuses on analyzing patterns of customer spending and preferences derived from payment transaction data. This feature enhances InvenTech's comprehensive payment analytics by providing deeper insights into buying behaviors, enabling businesses to tailor their marketing strategies and customer interactions accordingly. By identifying trends over time, businesses can predict future purchasing behavior, ensuring that they remain competitive and relevant in the market. The information gathered will guide inventory management, promotional tactics, and overall customer engagement efforts.
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Acceptance Criteria
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Analyzing Customer Spending Patterns through AI Insights
Given that an e-commerce manager accesses the Comprehensive Payment Analytics dashboard, when they select the 'Customer Behavior Analysis' report, then they should see a detailed breakdown of customer spending habits categorized by product type, purchase frequency, and payment method used over the last 6 months.
Identifying Sales Trends through Historical Data
Given access to historical transaction data, when the e-commerce manager sets a custom date range and applies various filters, then the system should display a graph indicating sales trends and customer purchasing behaviors over that selected period.
Optimizing Pricing Strategies Based on Customer Preferences
Given insights from the Customer Behavior Analysis, when the e-commerce manager reviews suggested pricing adjustments, then the recommended prices should reflect a minimum 10% increase or decrease based on identified customer spending trends without exceeding a set profitability margin.
Driving Informed Business Decisions with Real-Time Insights
Given current payment transaction data, when customer behavior analytics are generated, then the dashboard must reflect real-time changes in customer preferences and purchasing patterns within a maximum delay of 5 minutes.
Guiding Effective Inventory Management through Analytics Reports
Given the Customer Behavior Analysis has been conducted, when the e-commerce manager receives an inventory report, then it should accurately reflect projected stock needs for the next quarter based on customer purchase patterns and trends identified in the analysis.
Enhancing Marketing Strategies with Customer Insights
Given the data gathered from customer behavior analysis, when the marketing team reviews the report, then they should be able to access segmented customer profiles and targeted marketing recommendations to personalize customer outreach efforts.
Integration with ERP Systems
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User Story
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As an e-commerce manager, I want to integrate payment analytics with our ERP system so that I can achieve a comprehensive view of our financial health and streamline reporting processes.
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Description
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Integration with ERP Systems is essential for ensuring that payment analytics are cohesively linked with the broader financial data within the business. This requirement facilitates the synchronization of payment insights with other organizational data, such as inventory management and sales reporting. By connecting payment data with the ERP system, users can generate holistic reports that provide a complete view of their business's financial health. This integration not only streamlines financial operations but also enhances the accuracy of forecasting and budgeting processes by aligning all financial metrics under one platform.
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Acceptance Criteria
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User logs into InvenTech and accesses the Comprehensive Payment Analytics dashboard after integrating their ERP system.
Given that the user is logged into InvenTech, when they navigate to the Comprehensive Payment Analytics dashboard, then the dashboard should display transaction data that is aligned with the ERP system data.
A user analyzes payment data trends over a specified period to identify seasonal sales patterns.
Given that the user selects a date range on the Comprehensive Payment Analytics dashboard, when they generate the report, then the report should accurately reflect sales patterns and trends for that date range based on integrated ERP data.
The user expects to receive a notification if discrepancies arise between payment transaction data and ERP financial data.
Given that payment transaction data is integrated with the ERP system, when a discrepancy over a predefined threshold occurs, then the user should receive a notification alerting them to the issue.
A finance manager wants to create a holistic financial report combining payment insights and inventory management data.
Given the user has both payment analytics and inventory management access, when they request a holistic report, then the system should generate a report that includes payment insights synchronized with the relevant inventory data.
A user should be able to seamlessly update payment analytics settings that affect ERP data integration without encountering technical issues.
Given that the user opts to change payment analytics settings in the InvenTech platform, when they save the changes, then the settings should be updated successfully without any errors affecting data synchronization.
Users are able to filter payment analytics by various parameters, including payment method and transaction size, using an integrated ERP framework.
Given that the user is on the payment analytics page, when they apply filters for payment method and transaction size, then the displayed results should reflect only the transactions that meet the chosen criteria based on the ERP integration.
Dynamic Pricing Insights
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User Story
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As an e-commerce manager, I want insights into how pricing strategies affect customer purchases so that I can optimize pricing to increase revenue.
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Description
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Dynamic Pricing Insights allows e-commerce managers to understand how pricing changes affect payment transaction volumes and customer behaviors. This feature leverages historical payment data to analyze the impact of pricing strategies on sales performance. It helps managers identify optimal pricing points and timing based on real-time analytics, ultimately driving better revenue and profit margins. By implementing predictive analytics related to pricing, businesses can make informed decisions that align their pricing strategies with market demand and customer expectations.
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Acceptance Criteria
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E-commerce managers analyze historical payment data to understand how past pricing changes impacted sales during peak shopping seasons.
Given that the e-commerce manager has access to historical payment data, when they select a date range for peak shopping seasons, then the system should display a report showing the correlation between pricing changes and transaction volumes during those periods.
An e-commerce manager wants to set dynamic pricing based on real-time analytics to optimize sales performance during promotional events.
Given that the manager is planning a promotional event, when they input the promotional pricing strategy into the system, then the system should provide predictive analytics indicating potential changes in transaction volumes and customer behaviors based on historical data.
Management requires a dashboard view that summarizes the effects of dynamic pricing strategies over the past quarter.
Given that the e-commerce manager accesses the dashboard, when they filter the report by the last quarter, then the system should display visual charts representing transaction volumes, pricing changes, and customer purchasing patterns for easy analysis.
An e-commerce manager needs to understand customer behavior in response to a recent price reduction on key products.
Given that the manager conducts an analysis of a recent price reduction, when they look up transaction data from the last week post-reduction, then the system should highlight any significant increases in transaction volumes correlated with the price change.
To enhance revenue, an e-commerce manager seeks to test different pricing strategies across multiple product categories simultaneously using the system's insights.
Given that the manager selects multiple product categories to test different pricing strategies, when they initiate the testing, then the system should generate separate analytics reports for each category, showing the resulting transaction volumes and customer behavior changes.
Management wants a quick summary of best-performing pricing strategies from previous campaigns for strategic planning.
Given that the e-commerce manager requests a summary report of previous campaigns, when they run the report, then the system should return a list of pricing strategies that resulted in the highest transaction volumes and customer engagement, ranked by effectiveness.
Detailed Sales Reporting Dashboard
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User Story
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As an e-commerce manager, I want a detailed sales reporting dashboard so that I can easily visualize and communicate sales performance to my team and stakeholders.
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Description
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The Detailed Sales Reporting Dashboard is a critical requirement that provides e-commerce managers with a comprehensive overview of sales transactions, including metrics such as total sales, average transaction value, and sales trends over time. This feature enables managers to visualize data through charts and graphs, making it easier to communicate insights to stakeholders. By automating the reporting process, users can save time and reduce the risk of errors in financial reporting. This dashboard serves as a pivotal tool for strategic planning, forecasts, and performance assessments within the e-commerce framework.
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Acceptance Criteria
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Sales Manager accesses the Detailed Sales Reporting Dashboard to review monthly sales performance before a quarterly review meeting with stakeholders.
Given the user is logged into InvenTech, when they navigate to the Detailed Sales Reporting Dashboard, then they should see a summary of total sales, average transaction value, and a graphical representation of sales trends over the past month.
E-commerce manager filters the sales data on the dashboard to analyze transactions for a specific product category during a promotional period.
Given the user is on the Detailed Sales Reporting Dashboard, when they select a specific product category and apply a date range filter, then the dashboard should update to display only the relevant sales metrics and trends for that category within the chosen period.
User exports the sales data displayed on the dashboard to share with the finance department for their monthly reporting.
Given the user has the Detailed Sales Reporting Dashboard open, when they click the 'Export' button, then a CSV file containing the displayed sales transaction data should be generated and downloaded successfully.
E-commerce manager reviews the dashboard at the end of the day to check if daily sales targets have been met.
Given the user accesses the Detailed Sales Reporting Dashboard, when they review the total sales for the day, then they should be able to see if the daily target has been met or exceeded along with a comparison to the previous day's sales.
Sales manager wants to view historical sales data to identify trends and prepare forecasts for the upcoming quarter.
Given the user is viewing the Detailed Sales Reporting Dashboard, when they select the option to view historical data, then they should see visualizations and metrics for sales over the last year, enabling analysts to recognize seasonal trends.
Fraud Protection Shield
Fraud Protection Shield is an advanced security feature that automatically monitors transactions for signs of fraudulent activity. By implementing machine learning algorithms to analyze transaction patterns, this feature helps protect e-commerce managers from potential losses due to chargebacks and fraud, ensuring a safer payment environment for both businesses and customers.
Requirements
Transaction Monitoring
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User Story
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As an e-commerce manager, I want the system to monitor transactions in real-time for signs of fraud so that I can prevent financial losses due to chargebacks and fraud.
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Description
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The Transaction Monitoring requirement encompasses the implementation of real-time observation of all transactions conducted through the platform. It leverages machine learning algorithms to identify and flag suspicious activities based on predefined patterns indicative of fraud. This capability enables businesses to swiftly intervene in potential fraudulent transactions, reducing the likelihood of financial losses due to chargebacks and enhancing overall transaction security. The successful integration of this requirement within the Fraud Protection Shield will bolster user confidence and promote safer online transactions for both businesses and customers, ultimately enhancing customer trust and satisfaction.
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Acceptance Criteria
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Real-time monitoring of transactions on the InvenTech platform conducts automatic checks for fraudulent activities during high-traffic shopping seasons, ensuring user accounts remain secure without impacting customer experience.
Given a transaction is initiated, when the Transaction Monitoring system analyzes it, then it must flag any transaction that matches predefined fraud patterns within 5 seconds.
An e-commerce manager reviews flagged transactions in the InvenTech dashboard, where they can see detailed reports of suspicious activities that require their attention to decide on further action.
Given a transaction is flagged as suspicious, when a manager accesses the Transaction Monitoring report, then they must see a detailed breakdown of the transaction and the reasons for the flag within the dashboard.
Transaction Monitoring efficiently distinguishes between legitimate high-value transactions and fraudulent ones, ensuring that genuine transactions are approved swiftly to enhance the user experience.
Given a high-value transaction is processed, when the Transaction Monitoring system evaluates it, then it should allow 95% of legitimate transactions to go through without flagging them as suspicious.
A potential fraudulent transaction occurs at midnight, during which the Transaction Monitoring system operates seamlessly to identify and flag the transaction without manual intervention from staff.
Given a transaction occurs outside of regular business hours, when the system reviews the transaction, then it must flag it as suspicious if it matches any fraud indicators within 3 seconds.
Fraud alerts from the Transaction Monitoring system trigger automatic notifications to the e-commerce manager via SMS and email for instant responsiveness to potential fraud.
Given a transaction is flagged as fraudulent, when the alert is generated, then the e-commerce manager must receive an SMS and an email notification within 2 minutes of the detection.
The efficacy of the Fraud Protection Shield's Transaction Monitoring feature is tested during a simulated cyber attack, ensuring that it maintains performance under stress.
Given a simulated surge in fraudulent transaction attempts, when the Transaction Monitoring system is tested, then it must correctly identify and flag at least 90% of fraudulent transactions while maintaining performance.
A user accesses the Transaction Monitoring feature through mobile devices, effectively allowing them to monitor transactions remotely and receive alerts on the go.
Given the user is logged into the InvenTech mobile app, when they navigate to the Transaction Monitoring section, then they must be able to view real-time transaction alerts and reports without delay.
Alert and Notification System
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User Story
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As an e-commerce manager, I want to receive immediate alerts when suspicious activity is detected so that I can take quick action to mitigate any potential fraud.
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Description
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The Alert and Notification System requirement aims to provide timely alerts and notifications to e-commerce managers when suspicious activity is detected. This feature will include customizable thresholds for alerts, ensuring that users receive notifications relevant to their specific criteria and risk tolerance levels. The alerts will be sent through various channels such as email, SMS, or in-app notifications to ensure prompt awareness and action. This system is crucial for enabling proactive measures against potential fraud, thereby minimizing risk and enhancing operational security for businesses.
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Acceptance Criteria
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E-commerce manager logs into the InvenTech platform and configures the Alert and Notification System settings to set custom thresholds for suspicious activity. They then proceed to simulate a transaction that triggers an alert based on these settings.
Given the e-commerce manager has set custom threshold levels, When suspicious activity is detected during a simulated transaction, Then an alert should be sent to the manager via their chosen communication method (email, SMS, or in-app notification).
An e-commerce manager receives multiple alerts for different types of suspicious transactions. They access the alert history to review previous alerts and their outcomes.
Given that multiple alerts have been generated, When the e-commerce manager accesses the alert history, Then the system should display all alerts with their respective timestamps, types of suspicious activities, and resolution status.
During a high-traffic shopping event, the e-commerce manager wants to ensure their alert system is still operational and effective, as transactions are processed rapidly.
Given that a high volume of transactions is occurring, When potential fraudulent transactions are detected, Then the Alert and Notification System should prioritize alerts based on severity and send them without delay to the manager's selected contact method.
An e-commerce manager is on vacation and has configured the Alert and Notification System to forward alerts to their assistant while they are away.
Given the e-commerce manager is unavailable, When a suspicious activity alert is generated, Then the alert should be forwarded immediately to the designated assistant's communication channel without delay.
A user wants to test the flexibility of the alert system by adjusting the thresholds after previously setting them and observing the responsiveness of notifications based on these adjustments.
Given an existing threshold is set for alerts, When the user adjusts the thresholds up or down, Then the system should update the alert parameters and begin monitoring based on the new criteria within 5 minutes.
After setting specific thresholds for fraud alerts, the e-commerce manager receives an alert. They decide to customize their notification preferences directly within the app.
Given the e-commerce manager has received an alert, When they navigate to the notification settings, Then they should be able to modify their preferences and save them successfully, with changes reflected immediately in the alert system.
Fraud Analysis Dashboard
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User Story
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As an e-commerce manager, I want to access a dashboard that visualizes transaction data and fraud patterns so that I can effectively analyze and adjust my fraud prevention strategies.
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Description
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The Fraud Analysis Dashboard requirement entails the development of a user-friendly interface that aggregates and visualizes transaction data related to potential fraud incidents. It will provide analytical insights, such as trends in fraudulent transactions, common fraud patterns, and performance metrics of fraud prevention efforts. By simplifying complex datasets into understandable visual formats, this dashboard will empower e-commerce managers to make informed decisions about their security strategies. The integration of this dashboard within the Fraud Protection Shield will enhance the overall decision-making process for businesses, facilitating strategic adjustments based on real data.
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Acceptance Criteria
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E-commerce manager accesses the Fraud Analysis Dashboard to review suspicious transactions after receiving alerts from the Fraud Protection Shield feature.
Given the user is logged into the system, when they navigate to the Fraud Analysis Dashboard, then they should see a summary of suspicious transactions along with filters for date range, transaction amount, and status.
The dashboard aggregates transaction data over the past month to display trends related to fraudulent activities.
Given that transaction data is available for the last month, when the user views the dashboard, then a line graph should display the number of fraudulent transactions over the selected period, highlighting peaks and valleys in activity.
E-commerce manager utilizes the dashboard to identify common fraud patterns affecting their business.
Given that there is sufficient transaction data, when the user accesses the fraud patterns section, then they should see a detailed breakdown of the top 5 types of fraud attempts, including frequency and impact assessments.
The Fraud Analysis Dashboard includes performance metrics for fraud prevention efforts since implementation.
Given the fraud prevention feature has been active for at least three months, when the user checks the performance metrics, then they should see data on chargebacks reduced by at least 20% and successful fraud detections.
User receives a report of the dashboard's insights via email after their weekly summary is triggered.
Given the user has opted into email notifications, when the weekly summary is generated, then they should receive an email containing key insights from the dashboard including trend highlights and actionable recommendations.
E-commerce manager needs to share dashboard insights with their team during a strategy meeting.
Given the user selects the share option within the dashboard, when they generate a shareable link, then the link should provide the same view of the dashboard with current filters applied, without needing additional logins.
User Access Control
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User Story
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As a system administrator, I want to manage user access permissions so that sensitive fraud-related data is only accessible to authorized personnel.
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Description
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The User Access Control requirement establishes a system for managing user permissions and roles within the Fraud Protection Shield. This feature ensures that only authorized personnel have access to sensitive fraud-related data and system functions. It will include role-based access controls (RBAC), allowing the organization to define and assign roles based on their operational needs. This requirement is pivotal for maintaining data integrity and security, as it mitigates the risks associated with unauthorized access and ensures compliance with data protection regulations.
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Acceptance Criteria
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Role-Based Access Control for Fraud Analysts
Given a user assigned the 'Fraud Analyst' role, when they attempt to access the Fraud Protection Shield dashboard, then they should have the ability to view all transaction data but not modify any reports or settings.
User Access Management by Admins
Given an administrative user, when they create a new user and assign them a role within the Fraud Protection Shield, then the new user should receive a confirmation email with login instructions and permissions granted based on their assigned role.
Access Denial for Unauthorized Users
Given a user without the necessary permissions, when they attempt to access sensitive fraud-related data, then they should receive a '403 Forbidden' error message indicating insufficient permissions.
Audit Trail for Role Changes
Given an administrator makes a change to a user's role within the User Access Control system, then an entry should be logged in the audit trail including the user ID, the role change made, and the timestamp of the change.
Multi-factor Authentication for Sensitive Actions
Given a user with administrative rights, when they attempt to change user access roles, then they must complete a multi-factor authentication process before the change is allowed to proceed.
Role Assignment Review Period
Given a scheduled review of user roles, when the review is conducted, then all user roles must be confirmed as appropriate or updated based on current job functions within the organization.
Access Level Verification via Automated Alerts
Given the automated monitoring system, when unauthorized access attempts are detected, then an alert should be triggered and sent to the security team for immediate response.
Historical Data Analysis
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User Story
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As an e-commerce manager, I want to analyze historical transaction data to identify trends in fraudulent activity so that I can improve my strategies for preventing future fraud.
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Description
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The Historical Data Analysis requirement focuses on implementing capabilities that allow e-commerce managers to analyze past transactional data to identify trends, recurring fraud patterns, and effectiveness of previous fraud prevention measures. By leveraging historical data, this capability will help businesses refine their fraud detection algorithms and improve overall robustness against fraudulent activities. This analytical insight will be crucial for developing long-term strategies to mitigate fraud risks and enhance the effectiveness of the Fraud Protection Shield.
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Acceptance Criteria
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E-commerce managers need to analyze historical transaction data to identify trends and detect fraudulent activities.
Given historical transaction data is available, when an e-commerce manager accesses the analysis dashboard, then they should be able to generate a report that highlights trends and recurring fraud patterns within a specified time range.
A fraud analyst wants to evaluate the effectiveness of previous fraud prevention measures based on historical data.
Given access to historical transaction reports, when the fraud analyst selects a specific fraud prevention measure, then they should receive a percentage success rate indicating effectiveness in preventing fraudulent transactions.
An e-commerce manager requires insights from historical data to refine fraud detection algorithms.
Given historical data analysis capabilities are implemented, when the manager inputs new parameters to test against the historical data, then the system should output actionable insights to improve fraud detection algorithms, including information on false positives and negatives.
The platform needs to generate visual representations of fraud trends from historical data.
Given the historical data analysis feature, when the manager requests a visual report, then the system should generate graphs and charts illustrating fraud trends over selected time periods, allowing for intuitive interpretation of data.
Real-time updates on fraudulent activities based on historical trends are crucial for e-commerce managers.
Given the historical data analysis is connected to real-time monitoring, when new transaction data is processed, then the system should automatically flag transactions that align with identified historical fraud patterns for immediate review.
Integration of historical analysis into existing Fraud Protection Shield dashboard is necessary for user accessibility.
Given the Fraud Protection Shield dashboard, when the historical data analysis feature is integrated, then users should be able to seamlessly switch between live monitoring and historical analysis without loss of data integrity or usability.
User access and permissions for historical data analysis need to be secure and compliant with data protection regulations.
Given the historical data analysis feature, when a user attempts to access sensitive historical data, then the system should validate user permissions and ensure compliance with data protection regulations before granting access.
Compliance Reporting
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User Story
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As an e-commerce manager, I want to generate reports on fraud incidents and compliance measures so that I can demonstrate our commitment to secure and compliant transaction processes.
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Description
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The Compliance Reporting requirement ensures that the Fraud Protection Shield meets regulatory obligations by providing comprehensive reporting functionalities. This feature will generate reports detailing fraud incidences, preventive actions taken, and compliance with industry standards. These reports can be tailored to meet specific regulatory requirements, ensuring businesses can demonstrate their commitment to secure payment processes and compliance with data protection laws. This requirement is critical for upholding the business's reputation and ensuring transparency in fraud management practices.
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Acceptance Criteria
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Generate Compliance Report for a Specific Timeframe
Given that an e-commerce manager needs to demonstrate compliance for the last quarter, when they request a compliance report for that specific time period, then the system should generate a report that details all fraud incidences, actions taken, and compliance metrics relevant to that timeframe.
Customize Compliance Reports for Different Regulatory Requirements
Given that a business operates in multiple jurisdictions, when the user creates a compliance report, then they should be able to select from predefined templates that comply with specific regulatory requirements (e.g., GDPR, PCI DSS), and the report should reflect the chosen criteria accurately.
View Historical Fraud Incidences in Compliance Reports
Given that the Fraud Protection Shield has been in operation for over a year, when an e-commerce manager views the compliance report, then they should see a comprehensive list of historical fraud incidences and the corresponding actions taken to resolve them, organized by date.
Export Compliance Reports in Multiple Formats
Given that a compliance officer needs to submit the report to regulatory bodies, when they request to export the compliance report, then the system should provide options to download the report in various formats (PDF, CSV, XLSX) without any data loss or formatting issues.
Schedule Automated Compliance Reporting
Given that continuous compliance is necessary, when the user sets up a regular reporting schedule, then the system should automatically generate and email the compliance report to designated recipients according to the specified frequency (e.g., monthly, quarterly).
Access Compliance Reporting through Mobile Application
Given that users need to access compliance reports on-the-go, when they log in to the InvenTech mobile app, then they should be able to view and download their compliance reports seamlessly without any accessibility issues.
Real-Time Notifications for Compliance Breaches
Given that fraud incidents may affect compliance, when a fraud event is detected, then the system should send real-time notifications to relevant stakeholders, detailing the incident and any actions required to maintain compliance.
Real-Time Trend Visualization
This feature offers dynamic graphs and charts that illustrate real-time trends in inventory performance. Users can quickly identify rising or falling stock levels, sales patterns, and seasonal shifts. By transforming complex data into intuitive visuals, this feature empowers supply chain analysts to make informed decisions faster and with greater confidence.
Requirements
Dynamic Graphs for Inventory Trends
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User Story
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As a supply chain analyst, I want to view real-time trend visualizations of inventory performance so that I can make faster, data-driven decisions to optimize stock levels and minimize losses.
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Description
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The requirement involves the implementation of dynamic graphical representations, such as line charts, bar graphs, and pie charts, that accurately capture and display real-time trends in inventory performance. This feature is crucial as it allows supply chain analysts to swiftly gauge rising or declining stock levels, sales patterns, and seasonal shifts. By converting complex inventory data into user-friendly visuals, this requirement facilitates quicker analytical processes, supporting informed decision-making and strategic planning. Integration with the core analytics engine of InvenTech will ensure data is continually updated and accurately reflects current inventory statuses and trends, thus enabling users to respond proactively to market demands and internal needs.
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Acceptance Criteria
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User accesses the dashboard of InvenTech and navigates to the Real-Time Trend Visualization section to review inventory performance metrics at the end of a sales quarter.
Given the user is logged into the InvenTech platform, When they select the Real-Time Trend Visualization tab, Then dynamic graphs and charts are displayed that accurately represent inventory performance trends over the last quarter with real-time data.
A supply chain analyst reviews the sales data for a seasonal product line using the dynamic graphs to prepare a report for a team meeting.
Given the analyst has selected the seasonal product category in the Real-Time Trend Visualization, When they view the graphs, Then the graphs should display accurate sales patterns and stock levels specific to the selected category and time frame, allowing for informed decision-making.
User wants to compare current inventory trends against previous months to identify patterns and make adjustments to future orders.
Given the user selects the 'Compare' function in the Real-Time Trend Visualization, When they choose the current month and previous months to graph together, Then the graphs should visually showcase the differences in stock levels and sales trends, clearly labeling each month's data for easy interpretation.
A user accesses the mobile version of InvenTech while off-site to check for any critical changes in inventory levels during a promotional event.
Given the user is on the mobile app and connected to the internet, When they navigate to the Real-Time Trend Visualization section, Then they should see updated graphical representations of inventory levels that reflect the most recent data, formatted appropriately for mobile viewing.
After a user adjusts stock levels based on the insights gained from the visualized data, they want to ensure the updates are reflected in the charts immediately.
Given the user has entered new stock levels into the system, When the data is saved, Then the dynamic graphs in the Real-Time Trend Visualization should automatically refresh to reflect the updated stock levels within 5 seconds.
A team lead organizes a training session to educate staff on utilizing the dynamic graphs effectively for inventory management.
Given the training session is underway, When staff members interact with the Real-Time Trend Visualization feature during the training, Then they should be able to correctly explain the displayed trends, manipulate the graphs, and understand the implications of the data shown for decision making.
Interactive Trend Filters
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User Story
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As a supply chain analyst, I want to apply filters to the trend visualizations so that I can focus on specific timeframes and product categories relevant to my analysis.
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Description
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This requirement focuses on the development of interactive filters that allow users to customize the data displayed in the trend visualizations. Users will be able to filter data by time frames (daily, weekly, monthly), product categories, and sales regions. This functionality is essential for enabling supply chain analysts to drill down into specific trends that matter most to their operational needs. By providing customizable views, this feature enhances user experience and facilitates a deeper understanding of inventory dynamics, thereby fostering more targeted decision-making processes.
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Acceptance Criteria
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User accesses the real-time trend visualization dashboard and applies a filter to view inventory levels over the last month for a specific product category.
Given the user is on the trend visualization dashboard, when they select the 'Monthly' filter for 'Product Category A', then the system displays inventory trends for 'Product Category A' for the last month, accurately reflecting stock levels at each day.
A supply chain analyst wants to analyze sales patterns over the previous week and filter results by sales region.
Given the user has navigated to the trend visualization page, when they choose the 'Weekly' filter and apply 'Region X', then the system should generate a graph showing total sales for 'Region X' over the past week with correct sales figures.
An operational manager needs to quickly switch between different time frames to compare stock levels and sales across product categories.
Given the user is viewing trend visualizations, when they adjust the time frame filter among 'Daily', 'Weekly', and 'Monthly', then the system should dynamically update the visualizations without delay, reflecting the selected time frame.
Users can save their preferred filter settings for easier access in future sessions.
Given a user has applied specific filters for time frame, product category, and sales region, when they choose to save these settings, then the system should allow them to name and store these settings for quick retrieval in subsequent sessions.
The system must ensure that analytics load within an acceptable performance threshold when filters are applied.
Given the user applies a filter to the trend visualization, when the filter is activated, then the system will display the updated visualization within 2 seconds to ensure an efficient user experience.
Users require clear labeling and tooltips to understand the data points on the trend graphs.
Given the user is interacting with the trend visualizations, when they hover over any data point on the graph, then a tooltip should appear, clearly displaying the exact values and corresponding dates for those data points.
Alerts for Trend Anomalies
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User Story
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As a supply chain analyst, I want to receive alerts for any significant anomalies in inventory trends so that I can address potential issues before they impact the business.
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Description
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The alerts for trend anomalies requirement aims to develop an intelligent notification system that will automatically analyze the inventory trends and notify users of any significant deviations from expected patterns, such as sudden stock shortages or overstock situations. This proactive alert system enhances the ability of supply chain teams to respond swiftly to issues before they escalate, ensuring that decision-making is timely and effective. Integration with existing analytics will allow the system to learn from historical data and improve its accuracy over time, providing users with valuable insights directly related to their performance metrics.
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Acceptance Criteria
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Real-time notifications for significant deviations in stock levels.
Given the user has access to the alerts feature, when a stock level drops below the threshold defined by the user, then an alert notification should be triggered and sent via email or in-app notification.
Integration with historical inventory data for trend analysis.
Given the system has access to historical inventory data, when a new anomaly is detected, then the alert system should analyze the last 12 months of data before notifying the user of the deviation.
User customization of alert thresholds for specific products.
Given the user is in the alert settings section, when the user sets a custom threshold for a specific product, then the system should save and apply that threshold to trigger alerts appropriately.
Escalation process for unresolved trend anomalies after notifications.
Given the user receives three consecutive notifications for the same anomaly, when the user does not address the issue, then an escalation alert should be sent to a designated manager or team lead.
Dashboard display of current alert status and history.
Given the user accesses the dashboard, when the user views the alert section, then they should see a summary of current anomalies and a historical list of past alerts with timestamps and resolutions.
Mobile app notifications for trend alerts while away from the desktop.
Given the user has enabled mobile alerts, when a trend anomaly occurs, then the system should push a notification to the user’s mobile device, ensuring timely awareness of stock issues.
Feedback mechanism for improving alert accuracy based on user responses.
Given the user receives an alert and takes action, when they provide feedback on the usefulness of the alert (e.g., 'Helpful' or 'Not Helpful'), then the system should record this feedback to improve its future accuracy in anomaly detection.
Exportable Trend Reports
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User Story
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As a supply chain analyst, I want to export trend reports in multiple formats so that I can easily share my findings with stakeholders and incorporate them into presentations.
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Description
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The requirement for exportable trend reports entails the functionality to generate comprehensive reports based on the real-time trend visualizations that can be exported in various formats, including PDF and Excel. This feature is necessary for users to share insights with stakeholders and for presenting data in meetings. It will streamline operations by allowing analysts to quickly compile and distribute findings without manually recreating reports. The reports will be customizable, allowing users to select specific data points and visualizations for inclusion, ensuring that the exported data is relevant and actionable.
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Acceptance Criteria
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Scenario for generating and exporting trend reports in PDF format.
Given that the user has selected specific data points on the trend visualization, When the user clicks the 'Export as PDF' button, Then a PDF report is generated including the selected data points and visualizations, and it is downloadable without any formatting errors.
Scenario for generating and exporting trend reports in Excel format.
Given that the user has selected specific data points on the trend visualization, When the user clicks the 'Export as Excel' button, Then an Excel report is generated that includes the selected data points and visualizations and allows for easy data manipulation without loss of data integrity.
Scenario for custom data point selection during report generation.
Given that the user is on the trend visualization page, When the user selects or deselects data points and visualizations for the report, Then the export options reflect the current selections accurately before the export action is taken.
Scenario for sharing the exported report via email.
Given that the user has successfully exported a trend report, When the user opts to share the report via email, Then the email is sent to the specified stakeholders with the report attached, and the recipients confirm receipt of the report.
Scenario for viewing a preview of the report before export.
Given that the user is on the report export screen, When the user clicks the 'Preview' button, Then a modal appears showing a formatted preview of the report including all selected data points and visualizations, consistent with the export format.
Scenario for validating the performance of the export function under load.
Given that multiple users are generating reports simultaneously, When at least five users attempt to export trend reports at the same time, Then each report should be generated without errors and within an acceptable time frame (e.g. under 2 minutes).
Mobile Access for Trend Visualization
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User Story
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As a supply chain analyst, I want to access trend visualizations from my mobile device so that I can monitor inventory performance while away from my desk.
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Description
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This requirement focuses on enabling mobile access to trend visualization features, allowing users to view real-time inventory performance trends on their mobile devices. Given the increasing demand for mobile solutions in business processes, this functionality enhances flexibility and ensures that decision-makers can monitor inventory dynamics on-the-go, thus improving responsiveness. The mobile interface must be intuitive and provide the same features as the web application, ensuring users can perform analytics anywhere and at any time without compromising usability.
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Acceptance Criteria
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Mobile User Access to Trend Visualization for Inventory Management
Given a registered user with mobile access, when they log into the InvenTech mobile app, then they should be able to view real-time trend visualizations of inventory performance that are identical to those available on the web version.
Real-Time Update of Inventory Trends on Mobile Device
Given that a user is viewing the trend visualization, when inventory data is updated in the system, then the mobile view should refresh automatically to reflect the updated trends within 5 seconds.
Cross-Platform Data Consistency for Trend Visualizations
Given a user who views inventory trend visualizations on both web and mobile interfaces, when they switch between platforms, then the data displayed must match exactly, ensuring a seamless experience.
User-Friendly Navigation in Mobile Trend Visualization
Given a user accessing the trend visualization feature on mobile, when they interact with the graphs and charts, then they should be able to filter data, zoom in/out, and switch between time frames with intuitive touch gestures.
Performance Evaluation of Mobile App for Trend Visualization
Given a mobile user accessing the trend visualization, when they navigate through the data, then the application should respond within 2 seconds for each user interaction without lag or disruption.
Mobile Security for Trend Visualization Access
Given a user who accesses the trend visualizations, when they are using the app on a mobile device, then the data should be encrypted in transit and require secure authentication to protect sensitive inventory information.
Customizable KPI Dashboards
Supply chain analysts can personalize their dashboard to focus on the key performance indicators (KPIs) that matter most to them. This flexibility allows users to prioritize the metrics they want to track – such as turnover rates, stock aging, or sales forecasts – enhancing their ability to monitor performance and optimize inventory strategies.
Requirements
KPI Selection & Customization
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User Story
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As a supply chain analyst, I want to customize my dashboard to display the KPIs that matter most to me, so that I can effectively monitor performance and optimize my inventory strategies.
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Description
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Users must be able to select and customize key performance indicators (KPIs) for their dashboards based on their specific inventory management needs. This feature will allow users to add or remove KPIs like turnover rates, stock aging, or sales forecasts. A user-friendly interface will ensure that the selection process is straightforward, enabling analysts to tailor their dashboards for maximum relevance and performance monitoring. Additionally, this requirement includes saving user preferences so that their customized settings persist across sessions, thereby enhancing user experience and efficiency.
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Acceptance Criteria
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KPI Selection and Customization Process for Inventory Analysts
Given an inventory analyst is logged into InvenTech, when they navigate to the KPI customization section, then they can view a list of available KPIs, select desired KPIs to add to their dashboard, and easily remove any unwanted KPIs without any errors or delays.
Persistence of User Preferences Across Sessions
Given a user has selected and customized their KPIs on their dashboard, when they log out and subsequently log back in, then their previous selections are saved and displayed on their dashboard exactly as they left them, ensuring data retention without any loss.
User-Friendly Interface for KPI Customization
Given a user is in the KPI customization section, when they interact with the interface to add or remove KPIs, then the changes are intuitive, with clear instructions and visual feedback, allowing the user to make adjustments confidently and efficiently.
Real-Time Dashboard Updating with Selected KPIs
Given a user has customized their KPI dashboard, when new data is entered or updated within the inventory system, then the dashboard reflects these changes in real-time without requiring the user to refresh or reload the page.
Effective Error Handling in KPI Selection
Given a user attempts to remove a KPI that is currently in use or not selectable, when they click to remove it, then a clear error message should be displayed, explaining why the KPI cannot be removed, and suggesting next steps.
Customization of KPI Display Formats
Given a user has added KPIs to their dashboard, when they access settings for those KPIs, then they can select different display formats (such as charts or tables) for their KPIs, and the dashboard updates accordingly to reflect those changes.
Accessibility Compliance for KPI Dashboard Features
Given a user accesses the KPI customization feature, when they navigate through the interface via keyboard or assistive technologies, then the navigation and all functionalities remain fully accessible, complying with standards such as WCAG 2.1 AA.
Dynamic KPI Visualization
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User Story
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As a supply chain analyst, I want to visualize my KPIs in different formats, so that I can better understand trends and make informed decisions about inventory management.
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Description
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The KPI dashboards must support dynamic visualization options for the selected indicators, such as graphs, charts, and data tables. This functionality will enable users to visualize trends and insights quickly and intuitively, enhancing their ability to analyze performance data. Users should be able to switch between different visualization formats seamlessly and apply filters to view historical data or specific time periods, which will provide deeper insights into inventory performance and trends.
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Acceptance Criteria
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User customization of KPI dashboards to visualize selected performance metrics for inventory management.
Given that the user is on the KPI dashboard page, when they select performance indicators such as turnover rates or stock aging, then the dashboard should update to display the chosen metrics in both graphical and tabular formats without having to refresh the page.
Switching between different visualization formats for key performance indicators.
Given that the user has selected specific KPIs to monitor, when they choose to toggle between visualization formats (graph, chart, table), then the dashboard should load the new visualization seamlessly within 2 seconds to ensure a fluid user experience.
Applying filters on the KPI dashboards to view historical data or specific time periods.
Given that the user is viewing a KPI dashboard, when they apply a date filter for a specific month or quarter, then the displayed data should update to reflect only the selected date range, providing insights relevant to that period.
Interactivity of the KPI dashboard elements for deeper data analysis.
Given that the user is viewing a chart on the KPI dashboard, when they hover over a data point, then a tooltip should appear displaying detailed information about the KPI for that specific time period and metric.
Ensuring the dashboard displays accurate and real-time updates of selected KPIs based on inventory changes.
Given that a stock level changes due to new sales or restocking, when the user views their KPIs on the dashboard, then the displayed metrics should reflect the updated inventory levels within 5 minutes to ensure accuracy.
Mobile access and usability of the KPI dashboards for remote users.
Given that the user is accessing the KPI dashboard on a mobile device, when they load the page, then the dashboard should be fully responsive, allowing the user to view and interact with all KPI visualizations without any loss of functionality.
User feedback on customization options for KPI dashboards.
Given that the user has customized their KPI dashboard, when they submit feedback about the customization options, then the system should acknowledge receipt of the feedback and provide a follow-up window for future updates based on user suggestions.
Real-time Data Integration
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User Story
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As a supply chain analyst, I want my dashboard to reflect real-time data from our ERP system, so that I can make timely decisions based on the most accurate information available.
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Description
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The customizable KPI dashboards must integrate with real-time data sources to ensure users have access to the most current information when making decisions. This feature is critical for reflecting real-time stock levels, sales data, and other relevant metrics, thus enabling users to respond dynamically to changes in supply chain conditions. Data integration will include capabilities for synchronizing with existing enterprise resource planning (ERP) systems, further consolidating data for a comprehensive view of inventory performance.
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Acceptance Criteria
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Supply Chain Analyst Updates Dashboard with Real-Time Data
Given a supply chain analyst is logged into the InvenTech platform When they access their customizable KPI dashboard Then they should see real-time updates of stock levels and sales data within 5 seconds of any change occurring in the connected data sources.
Integration with ERP System During Live Operation
Given the InvenTech platform is integrated with an ERP system When an inventory change is made in the ERP Then the corresponding KPI dashboard should reflect this change in real-time without manual refresh or delays.
User Selects Specific KPIs for Real-Time Monitoring
Given a supply chain analyst is customizing their KPI dashboard When they select specific metrics to track (e.g., turnover rates, stock aging) Then the dashboard should only display the selected KPIs with real-time data updates visible instantly.
Real-Time Alerts for Critical Stock Levels
Given a supply chain analyst has set threshold levels for stock items When stock levels drop below these thresholds in real-time Then the system should trigger alerts which are visible on the KPI dashboard immediately.
Comprehensive View of Inventory Performance
Given a supply chain analyst is viewing their KPI dashboard When they request a comprehensive report on inventory performance Then the dashboard should integrate data from all relevant sources and display cumulative metrics, reflecting real-time analysis accurately.
Mobile Access to KPI Dashboards
Given a supply chain analyst is accessing the InvenTech platform on a mobile device When they view their customizable KPI dashboard Then the information should be displayed responsively and updated in real-time without loss of data integrity.
User Training for Effective Dashboard Customization
Given a new user has been assigned access to the InvenTech platform When they complete the training module Then they should be able to customize their KPI dashboard to track real-time data effectively without additional assistance.
User Role Access Control
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User Story
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As an admin, I want to control which KPIs are accessible to different users, so that I can maintain data security while providing relevant information based on their roles.
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Description
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The dashboard customization feature must include user role access control to determine which KPIs and dashboard configurations are available to different users within an organization. This requirement will enhance security and ensure users have access only to the information that is pertinent to their roles. Administrators must be able to set, modify, and manage access permissions, thereby streamlining data management and protecting sensitive information.
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Acceptance Criteria
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User Access Management for KPI Dashboards
Given an administrator user is logged into the InvenTech platform, When they navigate to the user access management section, Then they should be able to assign specific KPI access permissions for different user roles accurately.
Role-Based KPI Visibility
Given a user with the 'Analyst' role logs into their dashboard, When the user views their dashboard, Then they should only see the KPIs that have been assigned to the 'Analyst' role without any access to restricted metrics.
Modify User Permissions
Given an administrator has set an initial access level for a user role, When the administrator updates the access level to include additional KPIs, Then the modifications should reflect immediately in all user dashboards associated with that role.
Log Access Changes
Given an administrator modifies user role access settings, When the changes are saved, Then a system log entry should be created detailing the changes made, including the user role, previous access rights, and new access rights.
Multi-User Role Configuration
Given multiple user roles exist within the system, When the administrator configures role-based access for KPI dashboards, Then each role should have unique access rights that do not overlap unless explicitly defined to maintain security.
Test Invalid Access Attempts
Given a user attempts to access a KPI that is not assigned to their role, When the user tries to view the restricted KPI, Then they should receive an error message indicating they do not have permission to access that data.
User Role Reporting
Given an administrator wants to review user roles, When they generate a report on user access permissions, Then the report should include a list of all user roles and their corresponding KPI access levels in a clear and concise format.
Dashboard Performance Optimization
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User Story
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As a supply chain analyst, I want the dashboard to load quickly and respond instantaneously, so that I can analyze data without delays that hinder my productivity.
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Description
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To maintain high usability, the customizable KPI dashboards must be designed for optimal performance, ensuring quick load times and responsiveness, even when handling large sets of data. This requirement includes implementing efficient data retrieval and rendering methods to provide an enhanced user experience. Performance optimizations will help prevent slowdowns, reduce user frustration, and enable analysts to focus on data analysis rather than waiting for the dashboard to load.
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Acceptance Criteria
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Supply chain analysts access the customizable KPI dashboard during peak reporting hours to review the most recent inventory turnover rates and make strategic decisions on restocking.
Given the dashboard is accessed during peak hours, when the user requests the dashboard to load, then the loading time must not exceed 2 seconds with data sets of up to 50,000 records.
A supply chain analyst customizes their KPI dashboard by adding, removing, and rearranging various widgets displaying metrics such as stock aging and sales forecasts.
Given an analyst is logged in, when they customize the dashboard by adding or removing widgets, then the dashboard must reflect these changes immediately without any lag or data inconsistency.
Multiple supply chain analysts simultaneously access the KPI dashboard from different devices to analyze performance metrics without system slowdowns.
Given multiple users are accessing the dashboard simultaneously, when any user interacts with the dashboard, then all users should experience response times under 1 second for all interactions, regardless of the number of concurrent sessions (up to 100 users).
A user refreshes the customizable KPI dashboard after updating inventory data in the ERP system to ensure they are viewing the most current metrics.
Given the user has updated inventory data, when they refresh the dashboard, then the displayed metrics must accurately reflect the new data within 3 seconds of the refresh action.
While analyzing the KPI dashboard during a board meeting, an analyst needs to present stock forecasts and wishes to ensure all data is current and correctly displayed.
Given the analyst is in a meeting, when they load the dashboard, then all data elements for the selected KPIs must be correctly rendered and accessible within 2 seconds for a dataset of 100,000 records without any errors or incorrect values.
A supply chain analyst uses the dashboard on a mobile device to quickly assess performance indicators while on a business trip.
Given the analyst accesses the dashboard via a mobile device, when they navigate through any KPI or metric, then all components must load and render without distortion and maintain functionality within 3 seconds, irrespective of network conditions.
A user typically relies on the dashboard for daily performance reporting and wants to ensure they can view historical data trends quickly.
Given the user requests to view historical data for any KPI, when the user selects a date range, then the data must render accurately within 4 seconds without performance degradation, even for data spanning several months.
User Feedback Mechanism
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User Story
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As a supply chain analyst, I want to give feedback about my dashboard experience, so that my suggestions can help improve the tool for everyone.
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Description
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A user feedback mechanism must be incorporated within the dashboard customization feature, allowing users to provide insights and suggestions about their experiences in real time. This feedback will be valuable for continuous improvement efforts and can inform future development cycles. The mechanism should be easy to use and accessible from the dashboard, enabling users to report issues, request features, or provide general comments, thus fostering a user-driven development approach.
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Acceptance Criteria
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User submits feedback from the customizable KPI dashboard.
Given the user is logged into InvenTech and has accessed the customizable KPI dashboard, when the user clicks on the 'Feedback' button, then a feedback form should be displayed allowing the user to input their comments.
User successfully submits feedback through the feedback form.
Given the user has filled out the feedback form with valid information, when the user clicks the 'Submit' button, then the feedback should be recorded in the system and a confirmation message should be displayed to the user.
User can view previously submitted feedback in the dashboard.
Given the user has submitted feedback in the past, when the user accesses the 'My Feedback' section from their dashboard, then all previously submitted feedback entries should be displayed chronologically with the dates of submission.
User receives feedback responses from the development team.
Given the user has submitted feedback regarding a feature request, when the development team responds, then the user should receive a notification within the dashboard indicating that their feedback has been addressed.
User encounters an error while submitting feedback.
Given the user is filling out the feedback form and an error occurs, when the user attempts to submit the feedback, then an error message should be displayed indicating the issue and prompting them to correct it.
Users can access feedback mechanism from mobile devices.
Given the user is using the InvenTech mobile application, when the user navigates to the customizable KPI dashboard, then the 'Feedback' button should be readily accessible and functional, allowing the user to submit feedback seamlessly.
Predictive Analytics Toolkit
Utilizing advanced algorithms, this toolkit enables users to forecast future inventory needs based on historical data and current market trends. By offering easy-to-understand predictions, this feature helps users proactively manage stock levels, reducing the risk of both overstocking and stockouts.
Requirements
Real-time Data Integration
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User Story
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As an inventory manager, I want real-time data integration so that I can make informed inventory decisions based on the latest information available, reducing the risk of overstocking and stockouts.
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Description
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The Real-time Data Integration requirement encompasses the seamless integration of multiple data sources including sales transactions, supplier data, and market trends into the Predictive Analytics Toolkit. This feature ensures that the toolkit can access current and historical data promptly, thereby enhancing the accuracy of forecasts generated. By maintaining a continuous flow of updated data, users will be able to make more informed decisions about inventory levels based on real-time insights. This integration is crucial for users to manage stock efficiently, minimizing risks of stockouts or overstocking.
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Acceptance Criteria
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Integration of Real-time Data from Sales Transactions
Given that the user has access to the Predictive Analytics Toolkit, when a new sales transaction occurs, then the toolkit should automatically update the inventory data within 5 seconds reflecting the latest sales volume and product availability.
Update Supplier Data in Real-time
Given that the user connects to supplier databases, when supplier inventory levels change, then the Predictive Analytics Toolkit should update the data within 10 seconds to maintain accurate forecasting information.
Incorporation of Market Trends Data
Given that current market trends are available, when the Predictive Analytics Toolkit retrieves market data, then it should incorporate this information into the forecasting model and provide updated predictions within 1 minute.
User Notification for Data Integration Errors
Given that an integration error occurs while fetching real-time data, when the error is detected, then the system should notify the user immediately with a clear error message and suggested actions to resolve the issue.
Historical Data Access for Predictions
Given that the user wants to analyze inventory predictions, when the user requests historical data, then the Predictive Analytics Toolkit should provide accurate historical sales data for at least the past 12 months within 10 seconds.
Seamless Data Synchronization Across Platforms
Given that the user is utilizing both the Predictive Analytics Toolkit and another ERP system, when updates occur in either system, then data should synchronize automatically without user intervention within 15 seconds.
Comprehensive Reporting of Integrated Data
Given that the user requests a report on inventory forecasts, when the report is generated, then the user should receive a detailed report including both real-time and historical data insights within 30 seconds.
User-Friendly Dashboard
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User Story
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As a warehouse supervisor, I want a user-friendly dashboard so that I can quickly understand inventory predictions and take actions without getting overwhelmed by complex data.
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Description
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The User-Friendly Dashboard requirement involves the development of an intuitive interface within the Predictive Analytics Toolkit that allows users to easily visualize forecast data. This dashboard will present key metrics such as projected inventory levels, alerts for potential stockouts or excess stock, and trends based on historical data. The dashboard will enhance user interaction with the toolkit, making it easy for users to understand and act upon the predictions without requiring deep analytical expertise. Improved user experience will lead to faster decision-making and more effective inventory management.
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Acceptance Criteria
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User accesses the User-Friendly Dashboard within the Predictive Analytics Toolkit to view projected inventory levels for the upcoming month based on historical sales data.
Given that the user is logged into the Predictive Analytics Toolkit, when they select the Dashboard option, then they should see projected inventory levels displayed in a clear and concise graph format that updates in real time based on the latest data.
A user receives alerts for potential stockouts on the User-Friendly Dashboard when stock levels reach the predefined threshold.
Given that the user has set the stock threshold levels for alerts, when the inventory level drops to that threshold, then an alert should be displayed prominently on the dashboard, notifying the user of the potential stockout.
The User-Friendly Dashboard displays historical data trends to users for better inventory management decision-making.
Given that the user is viewing the User-Friendly Dashboard, when they select the option to view historical data trends, then they should see a comparative graph that illustrates stock levels, sales trends, and seasonality over the past year.
A user wishes to customize the dashboard layout to prioritize the most relevant inventory metrics for their business.
Given that the user is within the User-Friendly Dashboard, when they select the customization option, then they should be able to rearrange, add, or remove widgets displaying various inventory metrics according to their preference.
A user interacts with the dashboard to forecast inventory needs based on the current market trends and historical sales data.
Given that the user has accessed the forecasting section of the dashboard, when they input current market conditions, then the dashboard should present a forecast of inventory needs along with the potential impact on stock levels for the next quarter.
The User-Friendly Dashboard should be accessible and fully functional on mobile devices for users on the go.
Given that a user is accessing the User-Friendly Dashboard from a mobile device, when they log in to the Predictive Analytics Toolkit, then all dashboard functionalities should be available and optimized for mobile viewing, ensuring a seamless experience.
The dashboard refreshes data at regular intervals to ensure users are viewing the most current information.
Given that the user is on the User-Friendly Dashboard, when 5 minutes have passed since the last data update, then the dashboard should automatically refresh to display the latest inventory data and forecasts.
Forecast Accuracy Reporting
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User Story
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As a business owner, I want to see forecast accuracy reports so that I can evaluate the effectiveness of our inventory predictions and refine our strategy based on historical performance.
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Description
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The Forecast Accuracy Reporting requirement focuses on creating a mechanism that allows users to assess the accuracy of their inventory forecasts over time. This feature will analyze predicted inventory levels against actual sales and stock movements, providing detailed reports highlighting accuracy rates, trends, and areas for improvement. By having access to this information, users can adjust their forecasting strategies accordingly, leading to improved decision-making and inventory management. This enhances user confidence in the predictions provided by the toolkit and drives continuous improvement in inventory practices.
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Acceptance Criteria
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User views their forecast accuracy report for the past month to analyze performance.
Given the user navigates to the Forecast Accuracy Reporting section, when they select the past month, then the report displays forecasted inventory levels, actual sales, and the calculated accuracy rate for each product.
User identifies trends in forecast accuracy over a specified period.
Given the user selects a date range in the Forecast Accuracy Reporting section, when they generate the report, then the report displays graphical trends of forecast accuracy over the specified period, indicating improvements or declines in performance.
User receives insights and recommendations for improving forecast accuracy based on report findings.
Given the user has accessed the Forecast Accuracy Reporting, when the report is generated, then it includes a section with actionable recommendations for enhancing forecasting strategies based on identified accuracy trends.
User exports the forecast accuracy report for external analysis or sharing with stakeholders.
Given the user has generated the forecast accuracy report, when they select the export option, then the report is saved in CSV format without loss of data or formatting for external use.
User compares the accuracy of forecasted inventory levels against actual stock movement within a selected time frame.
Given the user selects a specific product and a time frame, when the report is viewed, then it shows a comparison table of forecasted vs. actual stock levels highlighting discrepancies.
Automated Alerts for Stock Levels
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User Story
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As a store manager, I want automated alerts for stock levels so that I can proactively manage inventory and avoid running out of key products or overstocking items that aren’t selling.
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Description
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The Automated Alerts for Stock Levels requirement involves setting up notification mechanisms that alert users when stock levels are predicted to fall below predefined thresholds or when excess stock is identified. Utilizing machine learning algorithms, this feature helps users to take proactive measures to restock or reduce inventory before problems arise. This capability is essential for preventing costly stock-outs and overstock situations, ensuring that businesses maintain optimal inventory health and respond quickly to market demands.
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Acceptance Criteria
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Automated alerts trigger when inventory levels fall below predefined thresholds for a specific product category, alerting the user via both in-platform notifications and email.
Given that the stock level of a product falls below the predefined threshold, when the stock check is performed, then an instant alert should be sent to the user through their chosen communication channel.
Users can customize alert thresholds and preferences for different product categories, ensuring tailored alerts for varying inventory needs.
Given that a user accesses the alert settings, when they modify the threshold for a specific product category, then the changes should be saved and applied without error.
Automated alerts notify users when excess inventory is detected, helping to prevent overstock situations.
Given that excess inventory is identified for a product, when the stock analysis occurs, then an alert should be generated and delivered to the user to take appropriate action.
Users receive timely notifications when predicted stockouts could occur based on current market trends and historical data.
Given that predictive analytics projects a potential stockout for a product, when the forecast is updated, then an alert should be sent to the user about the upcoming stock level issue.
Alerts should appear in the mobile app interface and be synchronized across all user devices for consistency.
Given that a user has enabled mobile notifications, when an alert is generated, then it should appear in the mobile app in real-time, reflecting the same alert details as on the web interface.
Users can acknowledge alerts to track actions taken in response to notifications about stock levels.
Given that an alert is displayed for low stock, when the user clicks on the alert to acknowledge it, then the system should record the acknowledgment and update the alert status accordingly.
Reporting functionality summarizes alert history to help users analyze inventory trends and respond proactively.
Given that a user accesses the alerts report, when the report is generated, then it should display a comprehensive history of alerts, including timestamps, product details, and user responses.
Mobile Access Capability
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User Story
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As a business owner, I want mobile access to inventory predictions so that I can monitor and manage stock levels even when I’m away from the office, ensuring that I stay responsive to market needs.
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Description
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The Mobile Access Capability requirement entails the development of a mobile-friendly interface for the Predictive Analytics Toolkit, allowing users to access forecasts and analytics on-the-go. This feature is vital for busy inventory managers and business owners who need real-time insights while away from their desks. By enabling mobile access, users can make timely decisions, respond quickly to inventory changes, and stay updated with their stock levels, regardless of their location. The convenience and flexibility of mobile access can significantly enhance the effectiveness of inventory management efforts.
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Acceptance Criteria
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As an inventory manager, I want to access the Predictive Analytics Toolkit via my smartphone while on a delivery route to check stock forecasts and make real-time decisions about inventory purchases.
Given that the user has logged into the InvenTech mobile app, when they navigate to the Predictive Analytics Toolkit, then they should be able to view real-time inventory forecasts and trends without any lag.
As a business owner, I want to receive push notifications on my mobile device about significant changes in inventory levels or trends to ensure I can respond quickly to any stock issues.
Given that the user has enabled notifications in the mobile settings, when there is a significant change in inventory levels or a forecast alert, then the user should receive a push notification within 5 minutes of the change occurring.
As an inventory manager, I need to filter inventory forecasts by specific product categories on mobile to make focused decisions regarding stock replenishment.
Given that the user is in the Predictive Analytics Toolkit, when they apply filters by product category, then the system should display forecasts only for the selected categories instantly.
As a team leader, I want to access historical inventory data through the mobile app to compare past forecasts with current trends and adjust strategies accordingly.
Given that the user has selected a specific date range in the mobile app, when they view the historical data section, then they should see a detailed comparison of past forecasts against actual inventory levels over that period.
As a sales representative, I want to access mobile analytics when meeting clients to discuss stock availability and forecasted trends to provide informed answers.
Given that the user is connected to the internet and opens the Predictive Analytics Toolkit on their mobile device, when they select a product, then they should be able to view the latest analytics and forecasted trends immediately for that product.
As an inventory manager, I need the mobile interface to be responsive and user-friendly so I can navigate easily without technical issues while on the go.
Given that the user accesses the Predictive Analytics Toolkit on various mobile devices, when they interact with any functionality, then the interface should remain responsive and load all features without errors regardless of the device used.
Interactive Scenario Planning
This feature allows analysts to simulate various market conditions and their potential impact on inventories. By adjusting variables like demand spikes or lead time variations, users can visually assess potential outcomes and devise contingency plans, making strategic planning much more effective.
Requirements
Variable Adjustment Interface
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User Story
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As an inventory analyst, I want to adjust variables in the scenario simulation so that I can explore different market conditions and assess their impacts on inventory levels, allowing for better contingency planning.
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Description
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The Variable Adjustment Interface allows users to easily modify key input variables such as demand levels, lead times, and inventory thresholds within the Interactive Scenario Planning feature. Users can utilize sliders, dropdowns, and input fields to change these variables in real time and observe how these adjustments impact inventory scenarios. This integration not only enhances interactivity but also ensures that users can tailor their simulations to reflect realistic market conditions, thereby improving strategic decision-making. The intuitive design of this interface ensures that users, regardless of their technical expertise, can engage with the simulation effectively, leading to more informed contingency planning and risk management. Ultimately, this feature is vital for analysts attempting to navigate complex inventory challenges in a dynamic market.
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Acceptance Criteria
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User adjusts demand levels to simulate varying customer purchases during a holiday season.
Given the Variable Adjustment Interface is open, when the user slides the demand level slider from its default position to a new value, then the inventory scenario graph updates in real-time to reflect the new projected inventory needs.
Analyst modifies lead times to assess the impact of supplier delays on inventory levels.
Given the user has accessed the Variable Adjustment Interface, when the lead time is increased using the dropdown menu, then the system displays a warning indicating potential stockouts based on the new lead time in less than 2 seconds.
User sets inventory thresholds to evaluate reorder points for different products.
Given the user is on the Variable Adjustment Interface, when the user inputs a new threshold value and hits 'Apply Changes', then the system recalculates and displays the updated reorder points immediately with the associated product list.
Analyst tests multiple scenarios simultaneously to compare outcomes under different market conditions.
Given the user is using the simulation feature, when the user sets variables for two different scenarios at once, then both scenarios are independently displayed and can be visually compared without performance lag.
User saves the configurations for future analysis and adjustments.
Given the user has modified input variables in the Variable Adjustment Interface, when the user clicks the 'Save Scenario' button, then the scenario is stored in the user's profile and can be retrieved on subsequent logins.
User accesses the Variable Adjustment Interface from a mobile device to modify scenarios on the go.
Given the mobile version of the Variable Adjustment Interface is loaded, when the user adjusts any variable using touch inputs, then the changes reflect on the screen with no more than a 3-second delay.
User seeks help on how to use the Variable Adjustment Interface effectively.
Given the user accesses the help section within the interface, when the user clicks on the tutorial button, then a comprehensive guide with video demonstrations appears without errors, covering all functionalities of the interface.
Visual Outcome Representation
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User Story
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As an inventory strategist, I want to see graphical representations of different scenarios so that I can easily understand the potential impacts on inventory and make informed decisions quickly.
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Description
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The Visual Outcome Representation feature provides users with graphical representations of the potential impacts on inventory levels based on the adjusted variables. This includes charts, graphs, and heatmaps that dynamically update as users modify inputs. The visualization helps users quickly comprehend the effects of different scenarios without needing to sift through raw data. By translating complex data into visual formats, this requirement enhances user understanding and facilitates more rapid decision-making. This tool will enable analysts to identify trends, risks, and opportunities in a more accessible manner, ultimately supporting more strategic inventory management.
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Acceptance Criteria
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User adjusts demand variables to simulate a surge in product demand during a holiday season and observes the corresponding impact on inventory levels.
Given the user adjusts the demand variable to reflect a 50% increase, When the visualization updates, Then the inventory graph should display a corresponding decrease in available stock by at least 30%.
Analysts utilize the feature to visualize potential lead time variations and their effects on stock levels during a supplier delay.
Given the user modifies the lead time to reflect an increase from 7 days to 14 days, When the visualization renders the heatmaps, Then it should highlight areas of inventory risk in red, indicating potential stockouts within the next week.
A user wants to compare different market scenarios side by side to assess risks and opportunities for upcoming product launches.
Given the user selects multiple scenarios to compare, When the visual outcome representation displays the results, Then it should show a clear comparative graph that showcases inventory levels side by side for each scenario.
An analyst inputs historical sales data to predict future inventory needs based on past trends and adjustments.
Given the user uploads historical data and adjusts it for current market conditions, When the visualization updates, Then it should display a trend line that accurately reflects historical sales data along with projections for the next quarter.
The user needs to quickly generate a report on inventory risks for management presentation.
Given the user selects the option to generate a risk report, When the report is created, Then it should include graphical representations of all highlighted risks and opportunities, along with an executive summary.
Users want to ensure that the visualization feature is responsive across different devices for on-the-go decision-making.
Given the user accesses the application on a mobile device, When they adjust the scenario inputs, Then the visualization should dynamically update without lag and maintain clarity on the smaller screen size.
An analyst reviews the feature to ensure it handles extreme variations without performance degradation.
Given the user inputs extreme demand spikes and lead time variations simultaneously, When the visualizations process these inputs, Then the system should return results within 5 seconds and handle the display clearly without errors.
Scenario Comparison Tool
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User Story
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As a product manager, I want to compare different inventory scenarios side-by-side so that I can evaluate potential strategies and select the most effective one for our business needs.
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Description
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The Scenario Comparison Tool allows users to create, save, and compare multiple scenarios side-by-side. Users can assess different strategy outcomes by alternating between scenarios and observing how changes in specific variables affect inventory management. This functionality is crucial for users aiming to devise comprehensive inventory strategies, as it enables them to weigh the pros and cons of each scenario directly. Furthermore, the comparative analysis streamlines the decision-making process by providing a straightforward platform for evaluating multiple forecasting outcomes, thus ensuring that strategic planning is based on robust data analyses.
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Acceptance Criteria
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User creates two or more inventory scenarios with varying demand and lead times to compare potential outcomes for strategic planning.
Given a user has created multiple scenarios with distinct parameters, when the user selects two scenarios to compare, then the system displays a side-by-side analysis of key outcomes such as total stock needed and potential stockouts for both scenarios.
User saves their created scenarios for future analysis or adjustments to their strategic plans.
Given a user has created one or more scenarios, when the user selects the save option, then the system saves the scenarios and confirms the action with a success message indicating the scenarios are stored.
User analyzes the impact of variable changes on their inventory scenarios in real-time.
Given a user has loaded two inventory scenarios, when the user adjusts a variable such as demand or lead time in one scenario, then the system automatically updates and reflects the changes in the comparative analysis display.
User can delete a scenario that is no longer needed for planning purposes.
Given a user has a list of saved scenarios, when the user chooses to delete a scenario, then the system prompts for confirmation and removes the scenario from the list upon confirmation.
User can switch between different scenarios seamlessly during analysis.
Given two scenarios are selected for comparison, when the user clicks on a scenario name, then the system switches to that scenario's detailed view while retaining the comparative analysis context.
User receives visual alerts for significant discrepancies in inventory outcomes between scenarios.
Given a user is comparing multiple scenarios, when the analysis shows a significant difference (based on predefined thresholds) in stock requirements, then the system highlights these discrepancies with visual alerts for user attention.
Scenario Simulation Templates
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User Story
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As an inventory planner, I want to use pre-defined simulation templates so that I can quickly analyze common market situations without spending excessive time configuring scenarios each time.
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Description
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The Scenario Simulation Templates feature allows users to access pre-defined simulation frameworks based on common market scenarios or historical data trends. Users can choose these templates to quickly set up simulations without starting from scratch, saving time and ensuring consistency in analysis. These templates can be customizable, enabling users to refine the parameters to fit specific needs. By providing a foundation for simulation, this feature enhances user efficiency and encourages best practices in scenario planning, while also promoting a more structured approach to inventory management.
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Acceptance Criteria
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User selects a predefined scenario simulation template related to demand spikes during holiday seasons.
Given a user is logged in, when they access the scenario simulation templates, they can view and select a template for the holiday shopping season. Then, the selected template should populate the simulation setup page with relevant parameters and historical data.
Analyst customizes a scenario simulation template to fit specific market conditions.
Given an analyst is on the simulation setup page, when they modify the lead time and demand parameters of the selected template, then the system should allow the saving of these custom parameter settings without any errors, and the changes should reflect in future loads of the template.
User runs a simulation based on a customized scenario simulation template.
Given a user has customized and saved a simulation template, when they initiate the simulation run, then the system should execute the simulation without lag and display the results visually in real-time on the dashboard.
User shares a customized scenario simulation template with team members.
Given a user is on the customized template page, when they click on the share button, then the system should prompt the user to enter email addresses, and upon submission, successfully send an email containing the template details and access link to the specified addresses.
System provides feedback on the performance of the simulation.
Given that a simulation has been completed, when the user views the results, then the system should provide a summary report that includes performance metrics and a comparison against the initial parameters set in the template.
User accesses scenario simulation templates on a mobile device.
Given a user is logged into InvenTech on a mobile device, when they navigate to the scenario simulation templates, then they should be able to view, select, and customize templates without any functionality loss compared to the desktop experience.
User receives guidance on best practices for scenario planning while using simulation templates.
Given a user is viewing the scenario simulation templates, when they click on the help icon, then the system should display a modal window with tips and best practices for effective scenario planning based on the selected template.
Real-Time Collaboration Feature
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User Story
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As a team leader, I want to collaborate with my team in real time on scenario planning so that we can leverage collective insights and make more informed inventory decisions together.
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Description
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The Real-Time Collaboration Feature enables multiple users to work together on scenario planning simultaneously, allowing for shared insights and collaborative decision-making. This feature should include functionalities like commenting, version control, and live updates of changes made by collaborators. By supporting teamwork and communication, this requirement fosters a more dynamic and inclusive planning environment where stakeholders can contribute their perspectives in real time. This collaborative capability is essential for organizations with cross-functional teams who depend on shared data for effective inventory management planning.
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Acceptance Criteria
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Real-time Collaboration among Analysts During Scenario Planning
Given multiple users are logged into the system, when one user comments on a scenario, then all other users should receive a notification about the new comment within 1 minute.
Version Control in Scenario Planning Sessions
Given a scenario is being actively edited, when a user saves changes, then the previous version should be stored in version history, allowing users to revert to it at any time.
Live Updates of Changes During Collaborative Scenario Planning
Given that users are collaborating on a scenario, when one user adjusts a variable, then the changes should reflect in real-time for all users without requiring a page refresh.
User Access Control for Collaborative Sessions
Given that a scenario planning session is initiated, when users attempt to join, then their permissions should be verified to ensure only authorized users have access to sensitive data.
User Summarized Insights from Collaborated Changes
Given a completed collaborative session, when users review the scenario, then they should be able to view a summary of all changes made, including who made them, within the last 30 minutes.
Integration with Notifications and Alerts for Collaboration Tools
Given a collaboration session is active, when changes are made, then relevant stakeholders should receive automated alerts via email or in-app notifications about critical updates.
Export Scenario Reports
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User Story
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As an inventory analyst, I want to export scenario reports in various formats so that I can share my findings with stakeholders and support strategic decision-making within the organization.
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Description
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The Export Scenario Reports feature allows users to generate comprehensive reports based on the simulated scenarios, which can include graphs, input variables, projected inventory levels, and strategic recommendations. These reports can be exported in various formats such as PDF and Excel. By providing this capability, users can present their findings to stakeholders or integrate the data into their organizational planning documents. This requirement is key for ensuring that valuable insights from scenario planning can be shared, communicated effectively, and acted upon beyond the immediate application, supporting broader inventory management strategies.
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Acceptance Criteria
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User generates a scenario report after simulating a demand spike due to a local event.
Given the user has completed a simulation of a demand spike, when the user selects 'Export Report', then a report with graphs, input variables, projected inventory levels, and strategic recommendations should be generated and downloadable in PDF and Excel formats.
User attempts to export multiple scenario reports simultaneously.
Given the user has multiple scenario simulations saved, when the user selects the option to export all reports, then all selected reports should be generated successfully in the chosen formats with a progress indicator for the export process.
User verifies the content of an exported scenario report.
Given a user has successfully exported a scenario report, when the user opens the report in PDF format, then the report must include accurate data reflecting input variables, projected inventory levels, and strategic recommendations as per the simulation conducted.
User encounters an error during the report exporting process.
Given the user has completed a scenario simulation, when the user attempts to export the report but encounters an issue, then an error message should be displayed indicating the nature of the error and next steps to resolve it.
User wants to present scenario reports to stakeholders via email.
Given a scenario report has been successfully exported, when the user selects the 'Share via Email' option, then an email draft should be generated automatically with the report attached and the option to add recipient addresses.
User reviews the exporting options available for scenario reports.
Given the user is in the report export interface, when the user clicks on the 'Export Options' menu, then the available formats (PDF, Excel) and customization options for the report (e.g., include/exclude graphs) should be clearly displayed.
User wants to verify the success of simulated scenarios against expected outcomes.
Given the user has generated reports for multiple simulations, when the user compares the projected inventory levels in the report against actual sales data post-simulation, then there should be a documented alignment of at least 90% accuracy for insights to be regarded as effective.
Alerts and Notifications Hub
An integrated alert system that notifies users of significant changes or anomalies in inventory metrics, such as sudden drops in stock levels or unexpected demand surges. This proactive approach helps supply chain analysts stay ahead of inventory challenges, ensuring timely responses to inventory issues.
Requirements
Real-time Stock Level Alerts
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User Story
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As a supply chain analyst, I want to receive real-time alerts for low stock levels so that I can proactively manage inventory and prevent stockouts.
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Description
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This requirement involves the implementation of a system that sends immediate notifications to users whenever stock levels drop below a predefined threshold. This functionality is crucial as it enables supply chain analysts to respond swiftly to potential stockouts, improving inventory management. By proactively alerting users, the feature helps prevent lost sales opportunities and ensures that stock levels sustain customer demands. The alerts can be customized based on user preferences, integrating seamlessly with the existing interface of InvenTech, thus enhancing the overall user experience and operational efficiency.
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Acceptance Criteria
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User receives an alert when stock levels fall below the defined threshold during business hours.
Given the stock level is set to alert at 50 units, when the stock level drops to 49 units, then the user receives an immediate notification via email and in-app alert.
A user customizes their alert preference within the settings of the Alerts and Notifications Hub.
Given the user accesses alert settings, when the user sets a new threshold for stock alerts, then the new threshold is saved and reflected in the alert system without errors.
An analyst monitors multiple products and receives alerts for each one to ensure all are adequately stocked.
Given multiple products are monitored, when any product's stock level drops below its predefined threshold, then the user receives a simultaneous notification for each affected product, ensuring no alerts are missed.
The alert system is tested for response time during peak hours to ensure timely notifications.
Given that the stock level drops below the threshold during peak usage times, when the alert triggers, then the notification is received within 5 seconds on all user-connected devices.
Users can view a history of past alerts to track stock level changes over time.
Given the alert system records notifications, when the user accesses the alerts history, then they can view all past alerts with timestamps and corresponding stock levels without any data loss.
The Alerts and Notifications Hub integrates with third-party communication tools like Slack or SMS for alerts.
Given the user opts to receive alerts via a third-party tool, when stock levels drop, then the user receives an alert through their selected communication tool as per the defined settings.
The system allows users to acknowledge alerts to prevent multiple notifications for the same issue.
Given the user receives a stock alert, when they acknowledge it within the system, then no further notifications are sent for that specific alert until the stock level changes again.
Demand Surge Notifications
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User Story
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As a product manager, I want to be notified of sudden demand surges so that I can adapt our inventory strategy and ensure product availability for our customers.
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Description
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This requirement centers around notifying users of sudden increases in product demand, allowing inventory managers to adjust supply orders accordingly. By analyzing sales patterns and market trends, this notification system will track unusual spikes in demand and inform users in real-time. This capability supports strategic decision-making, as it encourages timely interventions to restock popular items or prepare for increased sales. The alerts will help enhance customer satisfaction and optimize inventory turnover, effectively integrating with the analytics features of the platform.
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Acceptance Criteria
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Demand Surge Notifications Triggered by Sales Pattern Analysis
Given that the demand surge monitoring system is active, when the system analyzes sales data and identifies a surge in product demand exceeding the defined threshold, then the system shall generate a notification alert to the inventory manager within 5 minutes of detection.
User Receives Demand Surge Notifications
Given that a demand surge notification has been generated, when the inventory manager checks their notification hub, then they must receive an alert displaying the product name, surge percentage, and timestamp of the notification.
Historical Data Integration for Accurate Surge Detection
Given that the demand surge monitoring system is integrated with historical sales data, when a new surge is detected, then the system shall compare the surge against the historical average sales data to ensure accurate detection and relevance of the alert.
User Customization of Notification Preferences
Given that the inventory manager wants to customize notification preferences, when they access the alerts and notifications settings, then they must be able to set thresholds for different products and select the preferred method of receiving notifications (email, SMS, in-app).
Response to Notifications for Inventory Adjustment
Given that the inventory manager has received a demand surge notification, when they click on the notification, then they must be directed to the order adjustment page where they can modify supply orders in real-time based on the demand surge.
Performance Reporting of Notification System
Given that the notification system has been in use for a month, when the inventory manager accesses the performance report, then they shall see metrics including the number of alerts generated, response rate, and any adjustments made based on the alerts.
Anomaly Detection Alerts
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User Story
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As an inventory manager, I want to receive alerts for any anomalies in inventory metrics so that I can investigate and address issues before they impact operations.
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Description
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This requirement involves creating an alert mechanism that detects anomalies in inventory metrics, such as discrepancies between expected and actual stock levels, or unusual sales patterns. By analyzing historical data and current trends, the system will automatically generate alerts when significant anomalies are identified. This proactive feature will enable inventory teams to investigate and rectify issues promptly, reducing the risk of operational disruptions. Successful implementation will lead to enhanced decision-making and streamlined inventory processes, fostering an agile inventory management environment.
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Acceptance Criteria
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Anomaly Detection Activation during Stock Monitoring
Given the inventory system is active, when the system detects a stock level drop of 30% or more compared to the previous week, then an alert should be generated and sent to the supply chain analyst's dashboard and email.
Real-time Notifications for Unexpected Sales Patterns
Given the inventory system is analyzing sales data, when an unusual sales pattern is detected indicating a 50% increase compared to average sales over the past month, then an alert should be triggered for the inventory team.
Alerts for Discrepancies in Stock Levels
Given the inventory records are updated, when the system identifies a discrepancy of more than 20 units between expected and actual stock levels based on historical data, then an alert should be initiated and shown in the notifications hub.
Feedback Loop Mechanism for Alert Management
Given an alert has been generated, when the inventory team interacts with the alert to mark it as reviewed or resolved, then the alert status should update accordingly and remove it from the active alerts list.
Integration with ERP System for Anomaly Detection
Given the ERP system is integrated with InvenTech, when an anomaly is detected in the inventory metrics, then a notification should be sent to the ERP system for logging and further analysis.
Customization of Alert Thresholds by Users
Given the user has access to the settings, when a user modifies the alert thresholds for stock levels and sales patterns, then the new thresholds should be saved and used in future anomaly detections.
User Interface Display for Alerts Summary
Given the Alerts and Notifications Hub is opened, when there are recent alerts generated, then the user should see a summarized list of alerts with timestamps and descriptions in chronological order.
Customizable Alert Preferences
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User Story
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As a user, I want to customize my alert preferences so that I can receive notifications that are most relevant to my role and responsibilities.
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Description
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This requirement focuses on allowing users to customize their alert preferences based on specific metrics or thresholds that matter most to their operations. It includes options for users to select the types of alerts they wish to receive, the urgency level, and preferred communication channels (e.g., email, in-app notifications). This flexibility helps users tailor the alert system to their needs, enhancing user engagement and ensuring that critical notifications are prioritized effectively. Integration with user settings and interface design is vital for usability and satisfaction.
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Acceptance Criteria
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User customizes alert preferences for low stock notifications.
Given that the user is logged into their account, When they select the ‘Alerts and Notifications’ section, Then they should be able to choose the low stock metric and set a threshold below which they wish to receive alerts, and confirm their settings successfully.
User opts for multiple notification channels for alerts.
Given that the user is on the alert preferences page, When they choose to receive notifications, Then they should be able to select a combination of email and in-app notifications, ensuring each selected channel correctly saves their preferences.
User specifies urgency levels for different alerts.
Given that the user is on the ‘Alert Preferences’ page, When they set urgency levels for alerts related to stockouts, Then those settings should reflect options such as High, Medium, and Low, and save correctly after selection.
User receives timely notifications for urgent alerts.
Given that the user has set an urgent alert for sudden stock drops, When the stock level drops below the defined threshold, Then the user should receive an in-app notification immediately, confirming the alert has been triggered within 5 minutes of the event.
Integration with user settings allows for seamless updates to alert preferences.
Given that the user has modified their alert preferences, When they save these changes, Then the updates should be reflected in their profile settings and confirmed through a success message within the interface.
User views a history of past alerts.
Given that the user wants to review previous alerts, When they navigate to the ‘Alerts History’ section, Then they should see a chronological list of past alerts with corresponding details on type, date, and status.
Integration with ERP Systems
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User Story
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As an operations manager, I want the alerts to integrate with our ERP system so that I can automate responses to inventory notifications and enhance operational efficiency.
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Description
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This requirement involves integrating the Alerts and Notifications Hub with existing ERP systems to ensure that alerts related to inventory metrics are reflected in the broader operational workflows. By connecting with ERP systems, users can create automated tasks based on alerts, such as initiating reorders or adjusting production schedules. This integration will enhance operational efficiency by streamlining workflows, reducing manual intervention, and ensuring that the supply chain operations remain synchronized across platforms. Successful execution will help improve overall inventory management and accurate order fulfillment.
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Acceptance Criteria
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User receives a notification through the Alerts and Notifications Hub when stock levels drop below the predetermined threshold set in the ERP system.
Given the stock level falls below the threshold, When the ERP system detects the change, Then a notification is sent to the user immediately and logged in the system.
A user can create an automated task in the ERP system based on an alert received from the Alerts and Notifications Hub regarding unexpected demand surges.
Given a notification about an unexpected demand surge is triggered, When the user configures an automated task in their ERP system, Then the task to reorder stock is created successfully without manual intervention.
The integration allows the user to view all alerts related to inventory metrics in the ERP system dashboard.
Given the integration is successful, When the user accesses the ERP dashboard, Then all relevant alerts from the Alerts and Notifications Hub are displayed accurately and in real-time.
An analyst manually adjusts the production schedule in the ERP system based on the alerts received about stock levels.
Given an alert is received about low stock levels, When the analyst modifies the production schedule in the ERP system, Then the changes reflect in real-time in the inventory metrics and trigger alerts for the relevant stakeholders.
A user audits the historical alerts received in the Alerts and Notifications Hub to analyze past inventory issues and responses.
Given the Alerts and Notifications Hub maintains historical data, When the user requests to view past alerts, Then the system displays all relevant historical alert records and the actions taken for each alert.
Collaboration Tools Integration
This feature connects users with team members and stakeholders in real-time, allowing for seamless sharing of insights and collaborative decision-making. Analysts can comment on specific data points, share visualizations directly, and discuss strategic changes, enhancing teamwork and accountability.
Requirements
Real-time Collaboration Features
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User Story
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As a team member, I want to communicate with my colleagues in real-time within the InvenTech platform so that I can quickly discuss insights and make informed decisions without switching to external communication tools.
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Description
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This requirement focuses on developing real-time collaboration tools that allow users to communicate instantly within the InvenTech platform. Features such as live chat, video conferencing, and document sharing will enable team members to discuss inventory-related matters directly within the platform. This integration will enhance productivity by eliminating the need for switching between multiple applications, streamlining feedback loops and decision-making processes. Additionally, it will support better coordination during strategic discussions, thereby improving operational efficiency and accountability across teams.
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Acceptance Criteria
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Real-time messaging among team members to discuss inventory queries and updates.
Given a user is logged into InvenTech, when they send a message in the real-time chat, then the recipient should receive the message instantly and the chat history should be accessible within the current session.
Conducting a video conference to review inventory reports with stakeholders.
Given a user initiates a video conference within the platform, when team members join the call, then all participants should have a clear audio-video connection and the ability to share their screens without delay.
Sharing documents related to inventory forecasts during a collaborative meeting.
Given a user uploads a document during a live collaboration session, when the document is shared, then all participants should be able to access, view, and annotate the document simultaneously.
Providing feedback on inventory decisions through comment features in the application.
Given an analyst comments on a specific data point within the platform, when the comment is submitted, then all relevant team members should be notified and able to view the commentary alongside the data point immediately.
Integrating calendar scheduling with the collaboration tools for planning meetings.
Given a user wants to schedule a meeting, when they use the integrated calendar, then they should be able to send invites to team members directly from the platform, and receive confirmation of attendance.
Utilizing a notification system to alert users of message updates or document changes.
Given a user receives a new message or document update notification, when they check the notification center, then they should see an updated list with timestamps and highlighted changes for easy reference.
Creating a centralized dashboard for collaborative efforts on inventory management.
Given multiple users are collaborating on the same project, when they access the shared dashboard, then all changes made by users should be reflected in real-time, ensuring that data is always up-to-date and accessible by all members.
Commenting and Annotation System
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User Story
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As a data analyst, I want to comment on data visualizations in InvenTech so that I can provide insights and feedback to my team directly where the information is being analyzed.
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Description
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The commenting and annotation system allows users to leave comments on specific data points and visualizations within the InvenTech platform. This feature improves clarity in communication by letting users specify the exact information they are addressing, promoting more effective discussions on data analysis. Users can tag other team members in comments for direct consultations. Enhancing accountability, this system will also provide a transparent record of discussions for future reference and ensure that all stakeholders are aligned on the decision-making process.
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Acceptance Criteria
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User comments on a specific data point in a visualization to provide feedback during a team review meeting.
Given a user is viewing a visualization, when they click on a data point, then they are presented with the option to add a comment related to that data point.
A user tags another team member in a comment for direct consultation on data analysis results.
Given a user is entering a comment, when they type '@' followed by a team member's name, then the system should suggest matching team members for tagging.
A team member receives a notification about being tagged in a comment on a specific visualization.
Given a user has been tagged in a comment, when another user saves that comment, then the tagged user receives a real-time notification of the mention.
A user reviews historical comments on a data visualization for accountability and clarity on decision-making processes.
Given a user selects a visual element, when they view that element's comments history, then they can see all comments with timestamps and author information.
A user edits their previously submitted comment for clarity regarding a specific data point.
Given a user has submitted a comment, when they click the 'edit' button on their comment, then they should be able to modify the text and save the changes, preserving the original timestamp.
Users search for comments related to a specific data parameter to enhance discussion during a strategy session.
Given a user is on the comments dashboard, when they input a keyword related to a data parameter, then the system should filter and display all relevant comments containing that keyword.
Visualization Sharing Capability
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User Story
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As a project manager, I want to share data visualizations with my team so that we can review and discuss key insights together during our strategy sessions.
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Description
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The visualization sharing capability enables users to easily share charts, graphs, and other data visualizations directly with colleagues and stakeholders within the InvenTech platform. This feature will allow for seamless and efficient dissemination of insights, ensuring that all team members have access to the same information. Users can share visualizations through a single click, allowing for focused discussions during meetings or within collaboration threads, leading to quicker decision-making and alignment on inventory strategies.
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Acceptance Criteria
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User initiates the visualization sharing feature during a team meeting to present inventory trends and discuss strategies.
Given a user has created a chart in the platform, when the user clicks on the 'Share Visualization' button, then the chart should be shared with the selected team members in real-time, and they should receive a notification of the shared visualization.
A user needs to share a visualization with a colleague who is currently offline to ensure they are informed before a meeting.
Given a user has created a data visualization, when the user selects the colleague from the shared list and shares the visualization, then the colleague should receive the visualization via email or in-app notification, even if they are offline.
The team is in a discussion thread about inventory levels and needs to reference a specific chart for clarity.
Given a user has access to a discussion thread, when the user shares a specific visualization in the thread, then all participants in the thread should be able to view the visualization directly without needing to leave the thread or switch applications.
A user wants to ensure that shared visualizations maintain their integrity and data accuracy when accessed by different stakeholders.
Given a visualization has been shared, when any team member accesses the shared visualization, then they should see the most current version with up-to-date data as per the latest sync.
The platform requires users to collaborate on strategic decisions based on visualized data, keeping a record of comments and insights.
Given a user shares a visualization, when other users comment on the visualization, then all comments should be timestamped and associated with that visualization for future reference and decision-making.
Users need to easily find past shared visualizations to review historical discussions and decisions.
Given a user has a history of shared visualizations, when they navigate to the 'Shared Visualizations' section, then they should see all past shared visualizations listed chronologically with options to filter by date, type, or project.
A user wishes to customize the access levels for different stakeholders when sharing visualizations.
Given a user is sharing a visualization, when they set permissions for stakeholders (view, comment, edit), then those permissions should be enforced when the visualization is accessed, restricting actions based on user settings.
Integration with External Collaboration Tools
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User Story
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As a user, I want to integrate InvenTech with Slack so that I can receive notifications and share insights directly in my team’s communication channels without leaving the platform.
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Description
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This requirement involves integrating InvenTech with popular external collaboration tools like Slack, Microsoft Teams, and Zoom. This integration ensures that users can receive notifications, share insights, and communicate with external stakeholders without leaving the platform. The addition of this capability will support seamless workflows across different tools, enhancing user experience and collaboration options while ensuring that all critical information regarding inventory management is easily accessible and actionable in real-time.
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Acceptance Criteria
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User receives a notification about inventory changes in Slack when stock levels fall below a defined threshold, ensuring real-time updates for proactive management.
Given the user has set a stock threshold for notifications in the InvenTech settings, When stock levels fall below this threshold, Then a notification should be sent to the user's designated Slack channel.
Interacting with team members about specific inventory items through Microsoft Teams by sharing insights and visualizations directly from InvenTech.
Given the user is viewing an inventory item in InvenTech, When the user selects the option to share the item data via Microsoft Teams, Then a message containing the item insights and a link to the visualization should be sent to the chosen Teams channel.
Enabling users to have video calls with external stakeholders directly from the InvenTech platform to discuss inventory strategies or urgent inventory issues.
Given the user is on the inventory management page in InvenTech, When the user clicks the 'Start Video Call' button linked to Zoom, Then a Zoom meeting should be initiated, allowing the user to communicate with external stakeholders without leaving the platform.
Users are able to comment on inventory data points within InvenTech, and these comments are reflected in the associated external collaboration tools.
Given the user comments on an inventory data point within InvenTech, When the comment is saved, Then it should sync and appear in the corresponding channel of the connected external collaboration tool (e.g., Slack or MS Teams) for team visibility.
Tracking the effectiveness of collaboration tools integration by measuring user engagement and activity surrounding inventory discussions across platforms.
Given the collaboration tools integration is active, When users engage in discussions about inventory through external tools, Then InvenTech should provide a report summarizing the number of engagements and discussions related to inventory over a defined period.
Enabling secure access controls within InvenTech when sharing inventory insights to ensure only authorized users can view certain data shared in external tools.
Given that the user has specific access control settings in place within InvenTech, When the user shares data to external collaboration tools, Then only designated users should have access to view that shared information based on the access controls set.
Allow users to customize notification settings for different external collaboration tools based on their preferences for inventory update frequencies.
Given the user wants to customize notification settings, When they access the notification settings in InvenTech, Then they should be able to adjust the frequency and type of notifications sent to each external collaboration tool, and these settings should be saved and applied accordingly.
Task Assignment and Tracking
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User Story
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As a team leader, I want to assign tasks to team members within InvenTech so that I can monitor progress and ensure that all aspects of our inventory strategy are being addressed effectively.
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Description
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This requirement includes a task assignment and tracking system that allows users to assign tasks related to inventory management to specific team members directly within InvenTech. Users will be able to create tasks associated with specific comments or visualizations, set deadlines, and track progress. This feature will bolster accountability and ensure that all team tasks and responsibilities are visible and manageable, improving team coordination and productivity.
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Acceptance Criteria
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Task Assignment and Tracking for Inventory Management in InvenTech.
Given a user is logged into InvenTech, when they create a new task from a comment or visualization, then the task should be assigned to a specific team member with a defined deadline and visible in the task list.
Tracking Progress of Assigned Tasks.
Given a user has created a task and assigned it to a team member, when the assigned team member updates the task status, then the progress should be reflected in real-time on the task's overview screen for all users.
User Notifications for Task Deadlines.
Given a task has a set deadline, when the deadline is approaching, then all assigned users should receive a notification reminder 24 hours before the deadline via the InvenTech app.
Visibility of Assigned Tasks in Team View.
Given multiple users are logged into InvenTech, when a user views the team dashboard, then all assigned tasks across the team should be displayed with their status and assigned members.
Integration of Comments with Tasks.
Given a user has commented on a data point or visualization, when they choose to create a task from that comment, then the new task should retain a link to the original comment for context.
Reporting on Task Completion Rates.
Given the completion of tasks, when a user accesses the reporting feature of InvenTech, then they should be able to view a report detailing task completion rates within a specified time frame.
Mobile-Friendly Access
A streamlined version of the Inventory Insights Dashboard designed for mobile devices, enabling supply chain analysts to access critical insights on-the-go. This feature ensures that users can monitor performance and make decisions anytime, anywhere, ultimately increasing responsiveness and operational agility.
Requirements
Mobile Dashboard Optimization
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User Story
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As a supply chain analyst, I want to access the Inventory Insights Dashboard on my mobile device so that I can monitor performance and make decisions quickly while I am on the go.
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Description
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The Mobile Dashboard Optimization requirement entails creating a responsive and user-friendly version of the Inventory Insights Dashboard specifically designed for mobile devices. This feature will enable supply chain analysts to access critical data and insights on-the-go, ensuring they can monitor inventory performance and make informed decisions anytime and anywhere. The mobile-friendly dashboard will present key performance indicators (KPIs) and actionable insights in a concise format suitable for smaller screens. The goal is to enhance responsiveness, allowing users to quickly react to inventory changes, prevent stockouts, and maintain optimal levels of inventory from their mobile devices. Moreover, this requirement aligns with InvenTech's mission of increasing operational agility and efficiency through advanced technology integration.
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Acceptance Criteria
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Mobile Dashboard User Access Verification
Given a supply chain analyst has an active InvenTech account, when they access the mobile dashboard on a smartphone, then they should be able to log in successfully and view the dashboard without any errors.
Mobile Dashboard Responsiveness Check
Given a supply chain analyst is viewing the mobile dashboard, when they rotate their device between portrait and landscape modes, then the layout should adjust seamlessly without loss of functionality or information visibility.
Data Refresh Rate Assessment
Given the mobile dashboard is being used by a supply chain analyst, when the dashboard is accessed, then the inventory data displayed should refresh automatically every 5 minutes to reflect the latest stock levels and performance metrics.
KPI Visibility on Mobile
Given a supply chain analyst is using the mobile dashboard, when they access the performance metrics, then all key performance indicators (KPIs) should be visible at a glance without the need for scrolling.
Multi-Device Compatibility Test
Given the mobile dashboard is being accessed by different supply chain analysts, when the dashboard is tested on various mobile devices (Android, iOS, tablets), then it should perform consistently across all devices without layout issues.
User Feedback Collection
Given that the mobile dashboard is launched, when supply chain analysts utilize the feature, then a feedback mechanism should be available to collect their input regarding usability and functionality, evaluated within the first month post-launch.
Error Handling and Recovery
Given a supply chain analyst encounters an internet connectivity issue while using the mobile dashboard, when they regain connectivity, then the dashboard should automatically reload and display the most recent data without manual refresh.
Real-Time Notifications
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User Story
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As a supply chain analyst, I want to receive real-time notifications for critical inventory changes so that I can act promptly and prevent stockouts or overstocking.
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Description
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The Real-Time Notifications requirement involves implementing a notification system that provides instant alerts to users regarding significant changes in inventory levels, stockouts, or replenishment needs. This feature will ensure that supply chain analysts and inventory managers are immediately informed of critical inventory shifts, allowing for timely intervention and better inventory management. The notifications will be customizable, allowing users to set alerts based on their preferences, such as threshold levels for stock levels or specific dates for reordering products. The expected outcome is to increase the responsiveness of users in handling inventory management, hence preventing costly stockouts and overstocking, ultimately leading to improved operational efficiency. Additionally, this aligns with the goal of enhancing user decision-making capabilities through timely and relevant data.
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Acceptance Criteria
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User receives a real-time alert when inventory levels drop below the specified threshold during a peak sales period.
Given the user has set a threshold level for inventory, when the stock dips below this threshold, then a real-time notification is sent to the user via their chosen communication method (email, SMS, in-app).
User customizes notification preferences in the settings interface to receive alerts for specific products and stock levels.
Given the user is in the notification settings page, when the user selects specific products and sets threshold levels, then those preferences are saved and alerts are triggered according to those settings.
User checks their mobile device and receives a notification for a stockout alert on a product that hasn’t been reordered yet.
Given the product has reached stockout status, when the notification is sent, then the user receives an alert on their mobile device, indicating the product details and recommended actions.
User needs to receive reminders for reordering specific products based on predetermined dates.
Given the user has set reorder reminders for specific products, when the date for reorder comes, then a reminder notification is sent to the user at the specified time.
User verifies past notification history to review actions taken on inventory alerts received in the last month.
Given the user navigates to the notification history section, when the user selects the past month, then all alerts sent during this timeframe are displayed with their statuses (acknowledged, ignored, etc.).
User utilizes the notification system during an unexpected inventory surge to manage reordering efficiently.
Given an unexpected surge in inventory, when a notification is triggered for overstock, then the user receives actionable alerts suggesting corrective measures to manage the stocked items effectively.
Enhanced Search Functionality
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User Story
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As a supply chain analyst, I want to have advanced search functionality in the Mobile Dashboard so that I can quickly locate specific inventory items and their details.
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Description
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The Enhanced Search Functionality requirement focuses on improving the search capabilities within the Mobile Dashboard to allow users to efficiently find specific inventory items or data points. This feature will include advanced filtering options, keyword search capabilities, and the ability to sort results by various metrics (e.g., quantity available, reorder status, etc.). By enabling supply chain analysts to quickly access detailed information about specific products or inventory metrics, this requirement aims to streamline the decision-making process and save time in inventory management tasks. Additionally, the enhanced search functionality should support voice recognition for added convenience, ensuring that users can retrieve information hands-free when necessary. The outcome will be a more intuitive user experience while increasing the overall efficiency of inventory management within the mobile platform.
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Acceptance Criteria
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As a supply chain analyst using the Mobile Dashboard, I need to search for specific inventory items quickly, so I can make timely decisions about stock levels and reorder points while I am away from my desk.
Given the user is on the Mobile Dashboard, when they enter a keyword in the search bar, then the system should return relevant inventory items that match the keyword within 2 seconds.
During a supply chain meeting, a team member needs to filter inventory data by various metrics directly on the Mobile Dashboard, allowing them to present key insights efficiently.
Given the user applies a filter to the search results (e.g., filter by reorder status), when they select the filter criteria and confirm, then the system should display only items that meet the selected filter criteria accurately and within 3 seconds.
While using the Mobile Dashboard, I want to sort the search results by available quantity, so I can prioritize items that are low in stock while I am on-the-go.
Given the user has performed a search on the Mobile Dashboard, when they sort the search results by quantity available, then the system should reorder the items in descending or ascending order of quantity as specified by the user.
In a hands-free environment, I want to use voice recognition to search for inventory items, allowing me to retrieve data without manual entry while multitasking.
Given the user activates the voice search feature on the Mobile Dashboard, when they speak a specific inventory item name, then the system should accurately recognize the item and display the relevant inventory details within 5 seconds.
When managing inventory from the Mobile Dashboard, I want the search functionality to effectively handle misspelled queries, ensuring I can still find the items I need without frustration.
Given the user enters a misspelled keyword in the search bar, when the system processes the search, then it should display relevant suggestions based on the closest matching inventory items.
As a supply chain analyst, I need to access the search function on the Mobile Dashboard without any significant loading delays, so I can maintain my workflow efficiency.
Given the user accesses the search functionality on the Mobile Dashboard, when the search is initiated, then the system should load the search results with a maximum delay of 2 seconds, ensuring minimal disruption to the user experience.
While exploring inventory items, I want the search results to display key metrics like quantity available and reorder status to aid in my decision-making process.
Given the user performs a search on the Mobile Dashboard, when the search results are displayed, then each result should include key metrics such as quantity available and reorder status in a clear and readable format.
Integration with Third-Party Apps
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User Story
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As a supply chain analyst, I want the Mobile Dashboard to integrate with third-party applications so that I can have a centralized view of all inventory-related data without manual entry.
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Description
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The Integration with Third-Party Apps requirement outlines the need to create APIs and connectors that will enable the Mobile Dashboard to seamlessly communicate with popular third-party applications used for inventory and supply chain management. This feature will allow users to import data from other tools (such as ERP systems, eCommerce platforms, or CRM software) directly into the InvenTech dashboard, ensuring a holistic view of inventory across various systems. The integration will improve data accuracy and reduce the time spent on manual data entry, thus minimizing human errors and inconsistencies. Furthermore, it supports real-time data synchronization, allowing users to view the most current inventory levels, orders, and trends dynamically. The expected outcome is a more streamlined workflow for analysts and decision-makers, making InvenTech an indispensable tool for comprehensive inventory management.
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Acceptance Criteria
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User logs into the Mobile Dashboard on a smartphone and navigates to the Inventory Insights section to check real-time inventory levels immediately after integrating with an ERP system.
Given that the user is authenticated, when they access the Inventory Insights section, then the dashboard displays the most recent inventory data synchronized from the ERP system within 5 seconds.
A supply chain analyst wants to import shipping data from a third-party eCommerce platform into InvenTech's Mobile Dashboard while ensuring no data loss occurs during the transfer.
Given that the analyst has the eCommerce platform connected, when they initiate the data import, then all relevant shipping data is accurately imported into InvenTech without any errors or missing entries, verified by a data comparison process.
A user wishes to set up automatic synchronization of inventory data from multiple sources, including CRM and ERP systems, ensuring that all data is up-to-date for decision-making on the go.
Given that the user configures the synchronization settings, when the synchronization is triggered, then all inventory levels from the CRM and ERP systems update in the Mobile Dashboard automatically every hour without manual intervention.
An inventory manager accesses the Mobile Dashboard after recent API integration updates to ensure that all third-party connections are functioning correctly and syncing data.
Given that the API integrations have been set up, when the inventory manager checks the status of the integrations, then 100% of connected third-party applications report an active and successful sync status with no errors.
A user encounters discrepancies between the data in the Mobile Dashboard and their eCommerce platform and wants to resolve it through the integration logs available in the application.
Given that the user accesses the integration logs, when they review the logs for the last sync, then any discrepancies are clearly documented with timestamps and error messages indicating data issues, allowing for easy resolution.
A decision-maker uses the Mobile Dashboard to conduct an analysis of current stock levels before a major sales event to ensure readiness and responsiveness in inventory management.
Given that the decision-maker is reviewing the dashboard, when they filter the inventory data by product category, then the results load within 3 seconds, displaying accurate and actionable insights for strategic planning.
User Feedback Mechanism
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User Story
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As a supply chain analyst, I want a mechanism to provide feedback on the Mobile Dashboard so that I can suggest improvements based on my user experience.
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Description
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The User Feedback Mechanism requirement entails implementing a system within the Mobile Dashboard that allows users to provide feedback on their experience and suggest improvements. This feature will include a simple interface for users to submit feedback directly from the dashboard, with categories for issues faced, feature requests, and general suggestions. Capturing user feedback is crucial for enhancing product usability and ensuring that the dashboard meets the evolving needs of supply chain analysts. By analyzing this feedback, the development team can prioritize future updates and improvements based on actual user experience, fostering a user-centric development approach. The outcome is expected to be continuous improvement of the Mobile Dashboard, greater user satisfaction, and retention, aligning with InvenTech's commitment to innovation and excellent customer service.
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Acceptance Criteria
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Supply chain analyst accessing the Mobile Dashboard to provide feedback after reviewing inventory performance.
Given the analyst is on the Mobile Dashboard, when they select the feedback option, they should be presented with a feedback submission form that allows them to categorize their feedback (issue, feature request, suggestion) and enter comments, then submits successfully with a confirmation message displaying.
User submits feedback about a bug encountered while using the Mobile Dashboard.
Given the user has chosen the 'issue' category and filled out the form with specific details, when they submit the feedback, the system should capture the details accurately in the feedback database without errors and acknowledge receipt to the user.
Analysis of user feedback by the development team during the weekly review meeting.
Given the feedback submission form is in use, when the team accesses the feedback database, they should see a categorized list of feedback items that includes issue descriptions, suggestions, and requests with timestamps and user identifiers for further action and prioritization.
User submits a feature request via the Mobile Dashboard.
Given the user selects the 'feature request' category and submits a detailed suggestion, when the submission is successful, then the feedback should persist in the database with indicators for tracking its implementation status in future updates.
User navigates the Mobile Dashboard and decides to give general feedback about the overall user experience.
Given the user accesses the feedback section and submits general comments, when they submit, the system should validate the input and store it in the feedback database, confirming receipt back to the user with a summary of their feedback.
Feedback submission process during a peak usage time for the Mobile Dashboard.
Given that users are providing feedback during a high-traffic period, when they submit feedback through the app, the system should process submissions without delay or errors, maintaining performance standards defined in the requirements.
User interacts with the feedback mechanism during training sessions.
Given the user has accessed the Mobile Dashboard for the first time during training, when they explore the feedback option, they should find a user-friendly interface with tooltips and guidance helping them understand how to provide effective feedback.
Interactive Tutorials
Engaging, step-by-step tutorials designed to guide new users through essential features of InvenTech. These tutorials provide real-world scenarios, allowing users to practice using the platform within a safe environment, ensuring they feel confident as they navigate their new tools.
Requirements
Step-by-Step Navigation
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User Story
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As a new user, I want to follow a guided tutorial that shows me how to use key features of InvenTech so that I can feel confident in managing my inventory effectively right from the start.
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Description
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The Step-by-Step Navigation requirement mandates the creation of interactive, guided tutorials that lead users through various functionalities of the InvenTech platform. These tutorials will facilitate onboarding for new users by breaking down complex processes into manageable steps, complete with visuals and prompts. The main benefit is to enhance user confidence and proficiency in using InvenTech from the start, fostering a better adoption rate and reducing the learning curve. By integrating these tutorials seamlessly within the platform, users can practice in a safe environment that mirrors real tasks they’ll encounter in their inventory management practices, allowing for greater retention and application of knowledge in their day-to-day operations.
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Acceptance Criteria
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New users are onboarded through interactive tutorials that guide them through the various functionalities of InvenTech, ensuring they can complete tasks such as adding inventory items and generating reports within the system.
Given a new user accesses the interactive tutorial, when they complete all steps of the inventory item addition process, then they should receive a confirmation message indicating successful completion and be able to see the newly added item in their inventory list.
Users need to practice real-world scenarios within the interactive tutorials, allowing them to navigate the InvenTech platform confidently before handling actual inventory management tasks.
Given a user is in the interactive tutorial, when they follow the step-by-step instructions to perform a task, then they should achieve an accuracy rate of 90% in successfully completing the tutorial tasks before progressing to actual usage.
The interactive tutorials should include visuals and prompts that assist users in understanding functionalities and processes in InvenTech effectively.
Given a user is using the interactive tutorial, when they reach a step that requires an explanation, then the system must provide a visual aid and a prompt that clarifies the function or process being demonstrated.
Users must have the ability to review completed tutorials to reinforce their understanding and ensure retention of knowledge gained during the onboarding process.
Given a user completes an interactive tutorial, when they navigate to the tutorial review section, then they should have access to a summary of the tutorial content and a list of tasks they have completed successfully.
The interactive tutorials should allow users to resume from where they left off in case of interruptions during their learning process.
Given a user exits the interactive tutorial halfway through, when they log back into the platform, then they should be able to resume the tutorial from the last completed step without losing any progress.
Feedback should be collected from users post-tutorial to assess the effectiveness and usability of the interactive learning experience.
Given a user completes an interactive tutorial, when they are prompted to provide feedback, then they should be able to submit their thoughts on the tutorial's clarity, engagement, and overall helpfulness, making feedback available for review.
Progress Tracking System
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User Story
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As a user progressing through tutorials, I want to see my completion status and performance metrics so that I can understand how well I am learning and identify areas where I need more practice.
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Description
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The Progress Tracking System will enable users to monitor their advancement through the interactive tutorials. Users will be able to see which sections they have completed, which remain, and their overall performance on any quizzes or practical tasks integrated into the tutorials. This feature is essential for providing feedback to users about their learning journey, allowing them to identify gaps in their knowledge and revisit specific sections for improvement. By incorporating analytics to track progress, InvenTech can also gain insights into tutorial effectiveness and user engagement, which can inform future content development.
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Acceptance Criteria
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User Initiates Interactive Tutorial and Begins Progress Tracking
Given the user has accessed an interactive tutorial, when they complete a section, then the Progress Tracking System should reflect the completed status for that section and update the overall progress percentage accordingly.
User Reviews Their Progress on the Dashboard
Given the user navigates to the progress tracking dashboard, when they view their completed sections and performance metrics, then the dashboard should display a clear breakdown of completed sections, remaining sections, and scores on any quizzes or tasks.
User Reaccesses a Previously Completed Section for Review
Given the user selects a completed tutorial section from the progress tracking system, when they open that section, then the system should present the tutorial with an indication of previously completed tasks or quizzes, enabling easy re-engagement.
User Completes All Sections of the Tutorial
Given the user has completed all sections of the tutorial, when they finalize their learning journey, then the Progress Tracking System should indicate 100% completion and prompt the user with options for further learning or next steps.
Administrator Analyzes User Progress Analytics
Given an administrator accesses the analytics dashboard, when they review user progress data, then they should see metrics on user engagement, section completion rates, and quiz performance to inform future content development.
User Receives Feedback on Performance in Quizzes or Practical Tasks
Given the user has completed a quiz or practical task within a tutorial section, when they submit their results, then the Progress Tracking System should provide immediate feedback on their performance with suggestions for improvement based on their scores.
InvenTech Integrates User Feedback into Tutorials
Given that users are encouraged to submit feedback on the tutorials through the progress tracking system, when they provide feedback, then the system should log their responses for review and potential integration into future tutorials.
Real-Life Scenarios
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User Story
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As a user, I want to engage with tutorials that include real-world scenarios so that I can learn how to apply the features of InvenTech to solve actual inventory challenges I might face.
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Description
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The Real-Life Scenarios requirement emphasizes the importance of incorporating practical, real-world examples within the interactive tutorials. This approach entails crafting scenarios that reflect common challenges users face in inventory management, allowing them to apply the learned features to realistic situations. The integration of these scenarios supports the pedagogical approach of experiential learning, enhancing knowledge retention and application. This requirement ensures users not only understand how to use the platform but can also see the relevance and application of these tools in their daily operations, thereby increasing their likelihood of successful product adoption.
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Acceptance Criteria
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New user completes tutorial on inventory management basics.
Given the user has accessed the interactive tutorial, when they follow each step of the tutorial using a real-world scenario, then they should be able to correctly apply the learned features without guidance by the end of the tutorial.
User navigates through the tutorial on demand forecasting features.
Given the user engages with the demand forecasting section of the tutorial, when they complete the scenario about predicting product demand based on historical data, then they should demonstrate understanding by accurately inputting data and generating a forecast report.
User applies the knowledge gained from the tutorials in a simulated inventory situation.
Given the user has completed the interactive tutorials, when they are presented with a simulated inventory scenario, then they should successfully manage stock levels using the tools demonstrated in the tutorials, achieving a target inventory accuracy of at least 90%.
User requests assistance after completing the tutorials.
Given the user has finished the interactive tutorials, when they attempt to resolve a common inventory management issue, then they should be able to successfully utilize the tutorial materials to find the solution or answer within 5 minutes without outside assistance.
Assessment of user's retention of tutorial content.
Given the user has completed all interactive tutorials, when they take an assessment quiz designed to test knowledge of the content covered, then they should achieve a minimum score of 80% to demonstrate adequate retention of information.
User performs a task after completing the tutorial on multi-channel sales integration.
Given the user has completed the tutorial on multi-channel sales, when they attempt to integrate a new sales channel within the InvenTech platform, then they should be able to successfully complete the setup process without needing additional help.
User provides feedback on the usefulness of the tutorials.
Given the user has finished the interactive tutorials, when they are prompted for feedback, then they should provide a rating of 4 out of 5 or higher on the usefulness of the real-life scenarios presented in guiding their understanding.
Feedback Mechanism
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User Story
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As a user, I want to share my feedback on tutorials so that the content can be improved over time to better meet the needs of future users.
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Description
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The Feedback Mechanism is designed to allow users to provide input on the tutorials they complete. This feature will collect user feedback directly through the platform, fostering a continuous improvement process for the tutorials. It addresses the need for user involvement in the development of educational content, ensuring that the tutorials meet their learning preferences and requirements. Additionally, this mechanism could include prompt surveys after each tutorial or a rating system for specific scenarios, thus ensuring user-experience quality and identification of any necessary adjustments or enhancements to the tutorial content.
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Acceptance Criteria
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User provides feedback immediately after completing a tutorial on inventory management basics.
Given a user has completed the inventory management tutorial, when the feedback prompt appears, then the user can successfully submit feedback including a rating (1-5 stars) and optional comments.
Users receive a survey about the tutorial they just completed after finishing it.
Given a user finishes a tutorial, when the survey prompt is displayed, then the user must answer all required questions and submit the survey, which is then stored in the system.
A user wants to view the feedback mechanism options after completing a tutorial.
Given a user has completed a tutorial, when they access the feedback section, then they should see options to rate the tutorial and leave comments on their experience.
A system administrator reviews feedback collected from users after tutorials.
Given that users have submitted feedback, when the administrator accesses the feedback dashboard, then they must see a summary of the average ratings and individual user comments for the latest tutorials.
Users see a thank you message after submitting their feedback on tutorials.
Given a user submits feedback on a tutorial, when the feedback submission is successful, then the user should receive a confirmation message thanking them for their input.
Users can edit their feedback for a tutorial they previously completed.
Given a user wishes to change their feedback, when they click the edit option for their submitted feedback, then they can update their rating and comments, and those changes are saved successfully.
The feedback mechanism maintains security and privacy of user submissions.
Given that feedback is submitted, when the system stores the feedback, then personal user data should be anonymized, and only aggregate data should be accessible for reporting purposes.
Searchable Tutorial Library
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User Story
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As an experienced user, I want to access a searchable library of tutorials so that I can quickly find information and refresh my memory on specific features or processes as needed.
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Description
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The Searchable Tutorial Library requirement focuses on creating a comprehensive archive of all interactive tutorials that users can access anytime. This library will enable users to search for specific topics, feature tutorials, or revisit previous lessons as needed. This self-service feature empowers users to take charge of their learning journey, catering to different learning paces and styles. By having a searchable database of resources, users are more likely to fully leverage the capabilities of InvenTech, resulting in greater satisfaction and efficiency in utilizing the software for their inventory management tasks.
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Acceptance Criteria
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New users want to access the searchable tutorial library while onboarding to learn about key features of InvenTech.
Given a new user navigates to the interactive tutorials section, when they enter a search term related to tutorials, then they should see a list of relevant tutorials ranked by relevance and date.
An existing user needs to find a specific tutorial on inventory tracking to enhance their skills.
Given an existing user is logged into InvenTech, when they search for 'inventory tracking', then the tutorial library returns accurate results that contain 'inventory tracking' in the title or description within 3 seconds.
Users want to revisit a previously viewed tutorial to reinforce their learning after a week.
Given a user has accessed tutorials previously, when they search for 'stock management', then they should be able to see their previously accessed tutorials at the top of the search results.
Users need to view tutorials on different topics and easily switch between them.
Given a user is browsing through the tutorial library, when they select a tutorial on 'demand forecasting', then they should see an option to easily navigate back to the main library without losing their place in the tutorial.
A user wants to filter the tutorial library based on tutorial length to find quick guidance.
Given a user is in the tutorial library, when they choose to filter tutorials by duration (e.g., under 5 minutes), then they should see only tutorials that match the selected duration criteria.
A user looks for tutorials that have been newly added to the library.
Given a user accesses the tutorial library, when they sort the tutorials based on 'newest first', then the user should see the latest tutorials at the top of the list.
Users want to receive help while searching for tutorials, in case they have trouble finding specific content.
Given a user is unable to find a tutorial after two search attempts, when they click on the 'Help' button, then they should be directed to a support chat feature that provides guidance on using the tutorial library.
Role-Specific Training
Customized onboarding paths tailored to distinct user roles, such as Inventory Manager or E-commerce Manager. This feature helps users focus on the functionalities that matter most to their job responsibilities, thus enhancing relevance and effectiveness in their learning process.
Requirements
Custom Learning Pathway
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User Story
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As a new Inventory Manager, I want a customized onboarding path that focuses on key functionalities relevant to my role so that I can quickly learn how to manage stock levels effectively without unnecessary training on irrelevant features.
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Description
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The Custom Learning Pathway requirement focuses on creating tailored onboarding experiences for distinct user roles within the InvenTech platform. This functionality will allow organizations to define specific training modules and resources relevant to roles such as Inventory Manager, E-commerce Manager, and others. By integrating a role-based training curriculum, users can engage with content that directly pertains to their job functions, leading to more efficient onboarding and a greater understanding of features that directly impact their responsibilities. This approach will enhance user competency, reduce learning time, and ultimately improve the overall effectiveness of InvenTech's utilization.
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Acceptance Criteria
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User Role-Specific Onboarding For Inventory Manager
Given an Inventory Manager user, when they log in for the first time, then they should be presented with a customized training pathway that includes modules on stock management, demand forecasting, and ERP integration.
User Role-Specific Onboarding For E-commerce Manager
Given an E-commerce Manager user, when they access the training portal, then they should see a tailored learning path focusing on multi-channel sales integration and inventory control strategies.
Module Completion Tracking
Given a user is progressing through their role-specific training pathway, when they complete a module, then that completion should be recorded in their profile and should be reflected in their training summary report.
Feedback Mechanism After Training Completion
Given the user has completed their training pathway, when they finish, then a feedback form should prompt them to assess the relevance and effectiveness of the training modules they engaged with.
Dynamic Updates to Learning Pathway
Given an organization identifies a new role requirement, when that role is added to the training platform, then a corresponding learning pathway should be created automatically, ready for future users.
User Progress Visibility
Given a user is enrolled in a custom learning pathway, when they check their progress, then they should be able to view completed modules, in-progress modules, and upcoming training items in a clear dashboard.
Multi-User Role Overlap
Given a user holds multiple roles (e.g., Inventory Manager and E-commerce Manager), when they log in, then they should be allowed to select which specific training pathway to view without confusion or conflict in content delivery.
Interactive Training Modules
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User Story
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As an E-commerce Manager, I want interactive training modules so that I can better retain information and practice real scenarios while learning how to use the InvenTech platform effectively.
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Description
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The Interactive Training Modules requirement encompasses the design and implementation of engaging, interactive training materials that support the customized learning pathways for different user roles. This includes video tutorials, quizzes, and hands-on simulations that allow users to practice using the InvenTech platform in real-time. The inclusion of interactive elements will not only make the learning experience more engaging but also aid in better retention of information. This approach will ensure users feel more confident in using the platform and reduce the need for ongoing support and assistance.
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Acceptance Criteria
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User Onboarding for Inventory Managers using Interactive Training Modules
Given an Inventory Manager has accessed the Interactive Training Module, when they complete all video tutorials and quizzes, then they should score at least 80% and receive a completion certificate.
User Engagement for E-Commerce Managers during Training
Given an E-commerce Manager is taking the training, when they participate in hands-on simulations, then they should be able to complete at least three scenarios successfully without external help.
Feedback Collection Post-Training for All Roles
Given a user has completed their training modules, when they finish the feedback form, then they should provide at least 90% positive ratings on the training relevance and effectiveness.
Tracking User Progress in Interactive Training Modules
Given a user is enrolled in the role-specific training, when they log in, then they should see their progress dashboard reflecting completion percentage, time spent, and scores on assessments.
Mobile Accessibility of Training Content
Given a user accesses the InvenTech platform on a mobile device, when they navigate to the Interactive Training Modules, then all content should be fully accessible and functional without loss of interactivity.
Customizability of Training Paths for Different Roles
Given an administrator is setting up training paths, when they customize the Interactive Training Modules for a specific role, then the modifications should reflect immediately in user training dashboards.
Support Documentation Availability After Training
Given a user has completed their training, when they request support documentation, then they should receive a guide tailored to their specific role within 24 hours of their training completion.
Progress Tracking Dashboard
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User Story
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As a Training Coordinator, I want a Progress Tracking Dashboard to monitor user training achievements so that I can identify areas where additional support or training may be needed for optimal platform usage.
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Description
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The Progress Tracking Dashboard requirement aims to provide users and administrators with a clear view of completed training modules and areas where additional focus may be needed. This dashboard will visually represent user progress within their customized learning pathways, enabling managers to identify skill gaps and ensure users are effectively trained in all necessary functionalities. The ability to monitor training progress not only enhances user accountability but also helps streamline further training initiatives to bolster understanding and competency.
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Acceptance Criteria
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Displaying a user's training progress over time on the Progress Tracking Dashboard.
Given a user has completed several training modules, when they access the dashboard, then they should see a visual representation of their progress indicating completed and pending modules, as well as an overall completion percentage.
Allowing managers to filter training progress by user role and team.
Given the manager is viewing the Progress Tracking Dashboard, when they apply a filter for a specific user role or team, then only the relevant training progress results should be displayed, ensuring an accurate assessment of team competencies.
Notifications for users about incomplete training modules
Given a user has not completed assigned training modules, when they log into the platform, then they should receive a notification alerting them of their incomplete training along with a recommendation to complete them.
Providing insights into skill gaps based on training data.
Given a manager reviews the collective training data on the dashboard, when they identify users with low completion rates in specific modules, then the dashboard should provide insights into skill gaps indicating which modules require further focus for team improvement.
Tracking time spent on each training module.
Given a user completes training modules, when they view their progress on the dashboard, then they should be able to see the time spent on each module alongside completion status to facilitate time management.
Comparing training progress among team members.
Given a manager has multiple team members enrolled in training, when they compare individual progress on the dashboard, then they should see a comparative analysis indicating each member's progress and completion rates to foster accountability.
Integrating feedback collection post-training module completion.
Given a user completes a training module, when they access the Progress Tracking Dashboard, then they should have the opportunity to provide feedback about the training content and effectiveness of the module to inform future enhancements.
Role-Specific Knowledge Checks
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User Story
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As a user, I want to take role-specific knowledge checks after completing each training module so that I can measure my understanding before using the system in a live environment.
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Description
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The Role-Specific Knowledge Checks requirement involves creating assessments that evaluate user understanding and mastery of key functionalities related to their respective roles. These knowledge checks will provide immediate feedback, helping users understand their strengths and areas for improvement. This feature will ensure that users not only complete training modules but also achieve a foundational knowledge level crucial for effectively utilizing the InvenTech platform. Integrating assessments will enhance user confidence and facilitate targeted retraining when necessary.
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Acceptance Criteria
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User completes the knowledge check after finishing the Role-Specific Training module for Inventory Managers.
Given the Inventory Manager has completed the training module, when they access the knowledge check, then they should be able to attempt the assessment that tests their understanding of key inventory management functionalities.
An E-commerce Manager finishes the training and takes the knowledge check to evaluate their understanding of multi-channel sales integration.
Given the E-commerce Manager has completed their relevant training, when they perform the knowledge check, then their score should display immediately after completion, along with feedback on strengths and areas for improvement.
A user receives feedback after completing their knowledge check to help them identify areas needing further study.
Given the user completes the knowledge check, when the user reviews their feedback report, then it should clearly indicate the topics where they excelled and those that require additional training or retraining.
The system tracks user progress through various knowledge checks related to different roles within InvenTech.
Given that multiple users are taking knowledge checks for different roles, when the administrator views the progress report, then it should accurately reflect the completion status and scores for all users across their respective knowledge checks.
Users retake the knowledge check after receiving retraining on specific topics they struggled with.
Given the user has previously taken a knowledge check and received targeted retraining, when they retake the assessment, then the system should allow them to attempt it and provide updated feedback based on their new score.
Users access the knowledge checks from a mobile device after completing their training modules.
Given that users finish the relevant training module on their mobile device, when they navigate to the knowledge check section, then the assessment should be fully accessible and functional, allowing them to complete it seamlessly on their mobile device.
The knowledge check assessments are correctly integrated into the overall training module path for each role.
Given that a role-specific training path includes a knowledge check, when the user completes the training module, then the knowledge check should be auto-launched, ensuring that users are prompted to assess their learning immediately.
Gamified Challenges
Fun, interactive challenges that encourage users to complete onboarding tasks by earning points or badges. This gamification element not only makes learning enjoyable but also motivates users to engage more deeply with the platform and its features.
Requirements
Challenge Creation Tool
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User Story
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As a platform administrator, I want to create and customize onboarding challenges so that I can engage new users effectively and enhance their learning experience with the platform.
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Description
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A user-friendly tool that allows administrators to create and customize interactive onboarding challenges. This tool will include templates for common tasks related to inventory management, allowing customization of points and rewards based on user engagement levels. The flexibility and ease of use will enable managers to adapt challenges based on team needs, ensuring continuous engagement with the platform. It will also integrate with user progress tracking features to adjust challenges dynamically to maintain user interest and motivation, thereby improving onboarding outcomes.
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Acceptance Criteria
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Administrator uses the Challenge Creation Tool to create a new onboarding challenge for the inventory management team.
Given the administrator is logged into the InvenTech platform, when they access the Challenge Creation Tool and select a template, then they can customize the challenge parameters including points, rewards, and duration.
Administrator customizes an existing challenge to better fit user engagement levels.
Given an existing challenge is selected, when the administrator modifies the points and rewards and saves the changes, then the challenge updates accurately in the system without errors.
User completes the onboarding challenge and earns points or badges.
Given the user participates in the challenge, when they complete all required tasks, then the system should automatically award the points or badges specified in the challenge configuration.
The Challenge Creation Tool integrates with user progress tracking features.
Given the user progress tracking feature is active, when an administrator creates or modifies a challenge, then the tool should reflect any updates in user progress metrics dynamically based on challenge participation.
The Challenge Creation Tool provides feedback to the administrator on user engagement with the challenges.
Given a challenge has been active for a specified duration, when the administrator reviews the performance report, then the tool should display metrics including participation rates, points earned, and feedback from users.
An administrator deletes a challenge from the system.
Given an active challenge is selected by the administrator, when they choose to delete the challenge, then the system must confirm and successfully remove the challenge without affecting other challenges or features.
An administrator previews a challenge before publishing it.
Given a challenge has been configured, when the administrator selects the preview option, then the system should display a mock-up of the challenge as it will appear to users, including all rules and rewards.
Points and Badges System
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User Story
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As a new user, I want to earn points and badges for completing onboarding tasks so that I feel motivated and rewarded for my progress in learning the platform.
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Description
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An integrated system that awards points and badges to users as they complete challenges and onboarding tasks. The system will track user progress and achievements in real-time, providing a dashboard for users to see their earned points and badges. This feature will drive user engagement and foster a sense of accomplishment, making the onboarding process more enjoyable and motivating. It will also tie into social sharing features to allow users to celebrate their achievements, further enhancing community engagement.
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Acceptance Criteria
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User completes onboarding tasks and earns points for completing each step.
Given a user is logged into their account, when they complete an onboarding task, then they should receive the corresponding points immediately reflected in their dashboard.
Users can view their points and badges on a dedicated dashboard.
Given a user has completed onboarding tasks, when they navigate to their dashboard, then they should see a summary of the total points earned and the badges obtained.
User shares their earned badges on social media to celebrate their achievements.
Given a user has earned a badge, when they click on the share button, then the badge should be successfully shared on the selected social media platform with predefined messages.
System shows a leaderboard of users with the highest points to encourage competition.
Given multiple users are active on the platform, when they access the leaderboard, then it should display the top 10 users with their points in descending order.
User receives notifications for new badges and point milestones.
Given a user earns a new badge or reaches a point milestone, when the event occurs, then they should receive a notification via in-app messaging and email.
Users can access detailed descriptions of each badge and the criteria for earning them.
Given a user is viewing their earned badges, when they click on a badge, then they should see a detailed view of the badge description and the requirements for earning it.
Leaderboard Feature
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User Story
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As a user, I want to see a leaderboard of top users so that I can compare my progress and feel encouraged to engage more with the onboarding challenges.
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Description
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A competitive leaderboard feature that displays top users based on points earned through challenges. This feature will promote healthy competition among users, encouraging them to engage more deeply with the onboarding tasks and utilize platform features. The leaderboard will refresh periodically, allowing for dynamic competition and will include filters for time frames (daily, weekly, and monthly) to keep the competitive spirit alive. It will drive ongoing engagement with the platform and highlight high performers for potential recognition.
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Acceptance Criteria
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Displaying the Leaderboard to Users
Given a user is logged in to the InvenTech platform, when they navigate to the leaderboard section, then they should see a ranked list of users based on points earned through challenges, updated in real-time.
Periodic Refresh of Leaderboard
Given the leaderboard is displayed, when 10 minutes have passed since the last refresh, then the leaderboard should automatically refresh to display the latest points without requiring a page reload.
Filters for Time Frames
Given the leaderboard is displayed, when a user selects the filter options for daily, weekly, or monthly, then the leaderboard should update to show the top users based on the selected time frame.
User Points Update
Given a user completes a challenge, when the challenge is submitted successfully, then the user's points should be updated on the leaderboard within 5 seconds.
Highlighting Top Performers
Given the leaderboard is displayed, when users view the leaderboard, then the top three performers should be visually highlighted for recognition purposes.
Gamification Analytics Dashboard
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User Story
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As a product manager, I want to view analytics on gamification engagement so that I can make informed decisions on optimizing challenges and improving user onboarding.
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Description
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An analytics dashboard designed to track engagement metrics related to gamified challenges, including completion rates, average points earned, and badge distribution among users. This dashboard will provide administrators with insights into user performance and preferences, allowing for data-driven adjustments to the challenges and better targeting of onboarding processes. It will also help in identifying users who may need additional assistance, ultimately enhancing the overall onboarding experience.
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Acceptance Criteria
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User Engagement with Gamified Challenges Dashboard
Given an administrator accesses the Gamification Analytics Dashboard, when they view user engagement metrics, then the dashboard should display completion rates, average points earned, and badge distribution in a clear and visually insightful manner.
Data Availability and Accuracy in Analytics
Given an administrator accesses the Gamification Analytics Dashboard, when they refresh the data, then the updated metrics should reflect the most recent user activity data with a maximum latency of 5 minutes.
Different User Roles in Gamification Analytics
Given an administrator and a regular user access the Gamification Analytics Dashboard, when they attempt to view user performance metrics, then the administrator should see all user data while the regular user sees only their personal stats with no access to others' data.
Identification of Users Needing Assistance
Given the Gamification Analytics Dashboard identifies users with a completion rate below 50%, when an administrator reviews these users, then the system should provide a prompt suggesting additional onboarding support for those users.
User Feedback on Dashboard Usability
Given a set of administrators using the Gamification Analytics Dashboard for the first time, when they complete a feedback survey, then at least 80% of users should rate the dashboard’s usability as good or excellent.
Customization of Dashboard Views
Given an administrator wants to personalize the Gamification Analytics Dashboard, when they save their preferred metrics and layout, then those settings should persist across sessions and be retrievable upon next login.
Social Sharing Integration
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User Story
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As a user, I want to share my achievements on social media so that I can celebrate my progress and encourage others to join the platform.
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Description
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A social sharing feature that enables users to share their achievements, such as earned points and badges, on social media platforms. This integration will contribute to increased visibility of the platform while allowing users to showcase their accomplishments, promoting a sense of community and connection. Users will be able to customize messages and tag the platform in their posts, creating an organic promotion opportunity.
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Acceptance Criteria
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User successfully shares their achievement on Facebook after completing a gamified challenge.
Given a user has earned a badge, When the user selects the share option and customizes the message, Then the achievement should be posted on Facebook with the correct badge image and tagging InvenTech.
User can share their points and badges on Twitter to showcase their progress in gamified challenges.
Given a user has completed a gamified challenge, When the user selects the share button on Twitter, Then the tweet should include the correct points, badge image, and personalized message while tagging InvenTech.
User accesses social sharing options through the gamified challenge completion screen.
Given a user has finished the gamified challenge, When the user navigates to the completion screen, Then the social sharing options must be visibly available and easy to access.
Users receive notifications upon successfully sharing their achievements on social media.
Given the user has shared their achievement on social media, When the share is confirmed, Then the user should receive an in-app notification acknowledging the successful share.
User can customize the message that accompanies their social media post about their achievement.
Given a user is on the sharing interface, When the user edits the default message, Then the updated message should reflect correctly in the social media post preview.
Users can view a history of their social media shares from the platform.
Given a user has shared achievements on social media, When the user accesses their profile, Then they should be able to see a history list of all their social shares related to gamified challenges.
User can successfully tag InvenTech in their social media post when sharing their achievements.
Given a user is creating a post on social media, When the user types '@InvenTech', Then the platform should auto-suggest and allow tagging of InvenTech in the post.
Feedback Mechanism
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User Story
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As a user, I want to be able to provide feedback on challenges so that my input can help improve the onboarding process for future users.
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Description
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A feedback mechanism that allows users to provide input on the challenges they have completed, including suggestions for improvements and feature requests. This feedback will be valuable for enhancing the gamification features and ensuring they remain engaging and relevant. It will include a simple survey or rating system directly after challenge completion, contributing to continuous improvement based on user experience.
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Acceptance Criteria
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User submits feedback after completing a gamified challenge.
Given a user has completed a gamified challenge, when they are prompted to provide feedback, then they should see a feedback survey with rating options (1 to 5) and a comments box.
Feedback submission and confirmation.
Given a user submits their feedback, when they click the submit button, then they should receive a confirmation message indicating that their feedback was successfully submitted.
Feedback storage and retrieval for analytics.
Given user feedback is submitted, when an admin accesses the feedback database, then the feedback must be retrievable by date, challenge type, and user ID for analysis.
User receives points/badges for giving feedback.
Given a user submits feedback after completing a challenge, when the feedback is successfully stored, then the user should receive an appropriate number of points or a badge as a reward.
Daily feedback submission limit.
Given a user has submitted feedback for multiple challenges in a single day, when they attempt to submit feedback again, then they should receive a message indicating they have reached their daily feedback limit.
Feedback impacts challenge improvements.
Given feedback is submitted detailing suggestions for improvements, when the development team reviews the feedback, then they should categorize it as actionable, requiring no action, or thank you for suggestions for later consideration, impacting future updates of challenges.
Feedback Loop
An integrated feedback mechanism that allows new users to share their onboarding experiences and suggest areas for improvement. This feature ensures the Onboarding Buddy evolves based on user input, resulting in a continually enhancing onboarding process.
Requirements
Feedback Submission Interface
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User Story
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As a new user, I want to easily submit feedback about my onboarding experience so that my suggestions can help improve the process for future users.
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Description
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The Feedback Submission Interface allows new users to easily provide feedback regarding their onboarding experience. Users can rate their experience, provide comments, and suggest improvements directly through a user-friendly form accessible in the application. This feature enables InvenTech to gather essential insights for enhancing the onboarding process, ensuring that all user input is captured and analyzed effectively, thereby facilitating continuous improvement of the onboarding experience.
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Acceptance Criteria
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New user accesses the feedback submission interface during or after the onboarding process to provide feedback about their experience with InvenTech.
Given the user is logged into InvenTech, when they navigate to the feedback submission interface, then they must see a user-friendly form that allows them to rate their experience and provide comments.
Users provide feedback on their onboarding experience using the submission interface within the application.
Given the user has submitted feedback via the form, when they press the 'Submit' button, then a confirmation message should appear, indicating that their feedback was successfully received.
New users can provide multiple suggestions for improvement on the onboarding process through the feedback submission interface.
Given the user is filling out the feedback form, when they provide suggestions in the designated text area, then the input must be saved correctly and reflected when retrieved for analysis.
Users want to edit their feedback submission after initially submitting it within the feedback submission interface.
Given the user has successfully submitted their feedback, when they access their previous submission, then they should have the option to edit their feedback and resubmit it without duplication.
Feedback submitted by users is stored securely in the application for future review and analysis.
Given the feedback has been submitted, when it is stored in the database, then it must meet the security standards for data protection and privacy compliance.
The feedback submission interface is responsive and accessible across different devices and screen sizes.
Given the user accesses the feedback submission interface on a mobile device or tablet, when the layout is displayed, then all form elements must be properly aligned and easily interactive.
Automated Feedback Analysis
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User Story
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As a product manager, I want to automatically analyze feedback from users so that I can quickly identify areas needing improvement without manually sifting through all comments.
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Description
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The Automated Feedback Analysis feature processes user feedback through machine learning algorithms to identify trends and common suggestions. This functionality will categorize feedback into actionable insights, flagging frequent issues or positive notes that can guide the evolution of the onboarding process. By automating this analysis, InvenTech can quickly respond to user needs and adapt the onboarding process based on real data.
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Acceptance Criteria
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User submits feedback after completing the onboarding process through the InvenTech platform.
Given a user has completed the onboarding process, when they submit feedback, then the feedback should be processed and categorized into actionable insights within 24 hours.
A product manager reviews the feedback trends generated by the Automated Feedback Analysis feature.
Given the feedback has been analyzed, when a product manager accesses the feedback report, then they should see categorized insights and a list of frequent issues or positive feedback.
New users receive personalized onboarding improvements based on feedback trends identified.
Given the feedback analysis has been completed, when a new user goes through the onboarding process, then they should encounter improvements that address previously identified common suggestions.
System processes feedback efficiently during peak usage times.
Given a high volume of feedback submissions, when users submit their feedback, then the system should categorize and provide insights without downtime or lag exceeding 5 seconds.
Users are notified of changes made based on their feedback.
Given feedback has been analyzed and changes implemented, when users log into their accounts, then they should receive notifications highlighting what changes were made based on their suggestions.
Feedback analysis accuracy is evaluated.
Given a set of user feedback, when the feedback is processed, then the categorization must have an accuracy rate of at least 85% compared to manual categorization.
Users can easily access feedback insights through a dashboard.
Given the feedback has been analyzed, when a user accesses the feedback insights dashboard, then they should be able to view actionable insights and trends in an easily digestible format with no more than three clicks.
Real-Time Feedback Notifications
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User Story
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As a team member, I want to receive notifications when new feedback is submitted so that I can respond to user concerns in a timely manner.
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Description
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Real-Time Feedback Notifications will alert relevant team members whenever new feedback is submitted or when significant trends are identified through the Automated Feedback Analysis. This ensures that the onboarding team can promptly address user concerns and implement changes swiftly. Immediate notifications foster a responsive culture and help maintain high user satisfaction during the onboarding phase.
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Acceptance Criteria
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Feedback Notification to Onboarding Team After User Submits Feedback
Given a new user submits feedback through the onboarding platform, when the feedback is recorded in the system, then an immediate notification should be sent to the relevant onboarding team members via email and the app.
Summary of Significant Trends in Feedback Analysis
Given that automated feedback analysis identifies significant trends in user feedback, when a trend is detected, then an alert should be generated and sent to the onboarding team with a concise summary of the trends identified.
Real-Time Feedback Dashboard Updates for Onboarding Team
Given that new feedback is received, when feedback is submitted, then the onboarding team's feedback dashboard should refresh in real-time to display the new feedback without needing to refresh the page.
Integration of Feedback Notifications with Project Management Tools
Given that a user submits feedback, when the notification is generated, then it should integrate with the team's existing project management tool (e.g., Slack, Trello) to create a task or alert within that tool for follow-up.
Testing Notification Delivery to Ensure Reliability
Given multiple feedback submissions, when the feedback notifications are triggered, then at least 95% of notifications must be delivered successfully to the relevant onboarding team members within 5 minutes of feedback submission.
User Experience of Receiving Feedback Notifications
Given that feedback notifications are sent, when onboarding team members receive them, then at least 80% of team members should report the notification being clear, actionable, and timely in a user satisfaction survey.
Feedback Notification Frequency Management
Given that notifications are being sent, when the volume of feedback exceeds 10 submissions in an hour, then notifications should be aggregated into a summary alert to prevent notification overload for the onboarding team.
Feedback Loop Dashboard
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User Story
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As a stakeholder, I want to view a dashboard with user feedback trends so that I can make informed decisions about improving the onboarding experience.
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Description
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The Feedback Loop Dashboard provides an interactive overview of all feedback collected from users, displaying key metrics and insights in a visual format. This dashboard will allow stakeholders to monitor feedback trends, view user ratings over time, and prioritize areas for improvement based on user suggestions. The visual representation of data makes it easier to communicate findings and adjust strategies accordingly.
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Acceptance Criteria
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As a product manager, I want to access the Feedback Loop Dashboard to review user feedback collected during the onboarding phase to identify any areas needing improvement.
Given that I have logged into the InvenTech platform, when I navigate to the Feedback Loop Dashboard, then I should see an overview of all feedback submitted by users, including a breakdown of ratings and suggestions for improvement.
As a UX designer, I need to analyze the visual representation of user feedback metrics to adjust the onboarding process based on trends in user input.
Given that I am on the Feedback Loop Dashboard, when I view the graphical representation of user feedback over the past month, then I should be able to filter this data by user demographics and ratings to understand specific trends.
As a stakeholder, I want to prioritize feedback suggestions based on user ratings to ensure the most critical issues are addressed first.
Given the Feedback Loop Dashboard displays user feedback data, when I sort the suggestions by user ratings, then the dashboard should dynamically reorder the suggestions, highlighting the highest-rated areas for improvement at the top.
As an admin, I want to ensure that feedback data is updated in real-time on the Feedback Loop Dashboard to provide the most current insights to stakeholders.
Given that new feedback is being submitted by users, when I refresh the Feedback Loop Dashboard, then I should see the latest feedback entries and metrics reflected instantly without needing to log out and back in.
As a product owner, I want to export the feedback data from the Feedback Loop Dashboard into a PDF report for sharing with external stakeholders.
Given that I am viewing the Feedback Loop Dashboard, when I choose to export the data, then I should receive a PDF report that includes all feedback metrics and visual representations of key insights that is formatted properly for presentation.
As a support team member, I want to receive notifications when new high-priority feedback is submitted through the Feedback Loop feature so I can address urgent user concerns promptly.
Given that the Feedback Loop Dashboard is monitoring incoming feedback, when a user submits high-priority feedback, then I should receive an email notification highlighting the new feedback entry with details about the user and their suggestion.
Incentive Program for Feedback
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User Story
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As a user, I want to receive an incentive for providing feedback on my onboarding experience so that I feel appreciated for my contribution.
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Description
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The Incentive Program for Feedback encourages users to provide valuable insights by offering rewards such as discounts, free add-on features, or entries into a prize draw. This program is designed to increase the volume and quality of user feedback, ensuring that the onboarding process continually adapts to meet user needs. An effective incentive structure can lead to a more engaged user base and higher quality data for analysis.
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Acceptance Criteria
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User Participation in the Incentive Program
Given a new user who has completed the onboarding process, when they submit feedback through the feedback loop, then they receive a notification confirming their eligibility for the incentive program and information on the rewards available.
Reward Distribution Mechanism
Given a user who participates in the incentive program, when they accumulate points from feedback submissions, then they can redeem their points for rewards like discounts or free features, successfully processing the redemption automatically in the system.
Feedback Quality Assessment
Given users submitting feedback through the feedback loop, when the feedback is categorized, then it is reviewed and scored based on quality and relevance, with at least 70% rated as valuable by the product team for the incentive to be effective.
User Awareness of the Incentive Program
Given that a new user accesses the onboarding tutorial, when they complete it, then they are presented with clear and engaging information about the incentive program, ensuring at least 90% recall of program details in a follow-up survey.
Program Impact Measurement
Given the implementation of the incentive program, when analyzing user feedback volume and quality metrics over a three-month period, then there should be at least a 30% increase in the number of feedback submissions compared to the previous quarter without the incentive.
Incentive Program Feedback Loop Improvement
Given the feedback collected from the incentive program participants, when conducting a review after six months, then at least three actionable improvements based on solid user suggestions should be implemented to enhance the onboarding process.
Progress Tracker
A visual dashboard that allows users to monitor their onboarding journey, showcasing completed modules and remaining tasks. This feature helps users stay on track and feel accomplished as they progress, encouraging sustained engagement throughout the learning process.
Requirements
Onboarding Progress Visualization
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User Story
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As a new user, I want to see my onboarding progress so that I can understand what I have completed and what I still need to do to fully utilize the platform.
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Description
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The requirement entails the creation of a visual dashboard that clearly depicts the onboarding journey for users. This dashboard will include indicators for completed modules, remaining tasks, and overall progress percentage. By providing a clear visual representation of their status, users can better understand their advancement through the onboarding process. This feature will enhance user engagement by facilitating goal tracking and motivation, ensuring that users feel a sense of accomplishment as they complete each task. The onboarding progress visualization will integrate seamlessly with the existing user interface, maintaining the sleek design that InvenTech is known for, and will be accessible via both desktop and mobile platforms.
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Acceptance Criteria
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User views the onboarding dashboard for the first time after signing up for InvenTech.
Given the user is logged in and has completed at least one onboarding module, when they access the dashboard, then they should see a visual representation of their progress, including indicators for completed modules, remaining tasks, and overall percentage of completion.
User completes a module and returns to the onboarding dashboard.
Given the user has completed an onboarding module, when they return to the dashboard, then the completed module indicator should update immediately to reflect the change and the overall progress percentage should increase accordingly.
User interacts with the onboarding dashboard on a mobile device.
Given the user is accessing the onboarding dashboard from a mobile device, then the layout should adapt responsively to the screen size, maintaining legibility and usability of all indicators and modules.
User wants to track their progress on the onboarding dashboard after completing several tasks.
Given the user has completed multiple tasks in different modules, when they view the dashboard, then they should see a comprehensive overview of their completed tasks, including the names of the modules, their completion status, and the overall progress percentage should reflect these completions.
User seeks clarification about their onboarding progress status.
Given the user is on the onboarding dashboard, when they click on an indicator or module name, then they should be presented with a detailed view of tasks completed and remaining for that specific module, enhancing understanding of their progress.
User accesses the onboarding dashboard at different times using different devices.
Given the user accesses the onboarding dashboard from both desktop and mobile devices, then the progress information should sync in real-time, ensuring consistency across platforms regarding completed modules and overall completion percentage.
Task Completion Notifications
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User Story
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As a user, I want to receive notifications when I complete a task so that I can stay informed about my progress and be encouraged to continue learning.
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Description
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This requirement involves developing a notification system that alerts users when they complete a module or task within the onboarding process. Notifications will be delivered through in-app messages and optional email alerts, designed to encourage user engagement and inform them of their achievements. The notifications will prompt users to move on to the next steps in their onboarding journey, making the process feel more dynamic and interactive. This feature plays a critical role in keeping users motivated and involved while integrating with the existing communication channels of InvenTech.
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Acceptance Criteria
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User receives a notification after completing the first onboarding module.
Given that a user has completed the first onboarding module, when they log into the InvenTech platform, then they should receive an in-app message confirming the completion and encouraging them to continue to the next module.
User opts to receive email alerts for task completions during onboarding.
Given that a user has opted in for email notifications, when they complete an onboarding task, then they should receive an email alert detailing the completed task and next steps within 5 minutes.
User completes all onboarding modules in a given time frame.
Given that a user completes all onboarding modules, when the last module is finished, then they should receive both an in-app notification and an email summary of their progress and achievements within 5 minutes.
User views their progress tracker after completing tasks.
Given that a user has completed several onboarding tasks, when they access their progress tracker dashboard, then they should see updated visuals reflecting completed modules and remaining tasks, with a percentage completion indicator. The tracker should refresh within 2 minutes after task completion.
User receives reminders for upcoming onboarding deadlines.
Given that a user has pending onboarding tasks, when the deadline is approaching within 24 hours, then the user should receive a reminder notification via both in-app and email alerts to encourage timely completion.
User interacts with an in-app notification to advance to the next module.
Given that a user receives a notification upon completing a module, when they click on the notification, then they should be directed to the next module in the onboarding process seamlessly without needing to navigate manually.
Notification system logs user engagement metrics.
Given that users are receiving notifications, when a notification is sent, then the system should log engagement metrics such as open rates and response actions (e.g., clicked to next task) for analysis.
Milestone Celebration Features
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User Story
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As a user, I want to celebrate my milestones during onboarding so that I feel recognized for my efforts and can share my success with others.
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Description
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The milestone celebration feature will allow users to celebrate key achievements throughout their onboarding process by providing customizable congratulatory messages and visual effects upon completing significant milestones. This not only enhances user satisfaction but serves to reinforce positive behavior and engagement with the platform. The feature will include options for users to share their achievements on social media, encouraging a sense of community and promoting InvenTech. Integration with the current user experience will ensure that the feature feels seamless and intuitive, providing a rewarding experience for users as they progress.
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Acceptance Criteria
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User completes a significant onboarding milestone such as completing all modules of the onboarding process.
Given the user has completed a milestone, when they log in to the Progress Tracker, then they should see a congratulatory message and visual effects celebrating their achievement.
User wants to share their completed milestone on social media platforms.
Given the user has successfully completed a milestone, when they select the option to share on social media, then a sharing interface should open with pre-filled congratulatory text and a link to InvenTech.
User engages with the Progress Tracker on a mobile device after completing a milestone.
Given the user is using the mobile version of the Progress Tracker, when they complete a milestone, then the congratulatory message and visual effects should display correctly without any UI glitches or delays.
User customizes their celebratory message after completing a key milestone.
Given the user has completed a milestone, when they access the customization options, then they should be able to edit and save their congratulatory message successfully.
User has completed multiple milestones and wants to view a history of their achievements.
Given the user has completed several milestones, when they access the Progress Tracker, then they should see a list of all completed milestones with corresponding congratulatory messages.
User participates in the onboarding program over a stretched period and completes a milestone after a gap of time.
Given the user completes a milestone after a gap, when they log into the Progress Tracker, then they should see an appropriate congratulatory message that acknowledges the time taken since the last achievement.
The system needs to ensure all users receive a celebratory experience upon reaching milestones.
Given multiple users complete milestones simultaneously, when each user logs into the Progress Tracker, then each should receive their individual congratulatory message and visual effects without lag or overlap.
Progress Analytics Reporting
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User Story
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As a user, I want to access analytics about my onboarding process so that I can track my efficiency and make adjustments to my learning pace if needed.
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Description
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This requirement entails implementing a reporting feature that allows users to see analytics related to their onboarding progress. Users will be able to view detailed reports that break down how long they spent on each module, the number of tasks completed per week, and projected time to complete the onboarding process based on their current pace. This feature will provide valuable insights, allowing users to optimize their learning speed and manage their time effectively, thus enhancing the onboarding experience. Reports will be downloadable and shareable, enabling users to share their progress with team members or managers.
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Acceptance Criteria
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As a user, I want to access the analytics report to see how much time I have spent on each onboarding module by the end of the week.
Given the user accesses the Progress Analytics Reporting feature, when they select a completed module, then the detailed time spent on that module should be displayed accurately in hours and minutes.
As a team leader, I want to view the total number of tasks completed by my team members weekly to assess their onboarding progress.
Given the team leader opens the analytics report, when they view the 'Tasks Completed' section, then the total number of tasks completed by each team member for the week should be visible and accurate.
As an individual user, I want to see a projected timeline for the completion of my onboarding process based on my current learning pace.
Given the user has completed at least one module, when they view the projected completion section of the analytics report, then the estimated completion date should be calculated and displayed based on their average module completion time.
As a user, I want to download my progress report so that I can easily share it with my manager.
Given the user opens the analytics report, when they click the 'Download Report' button, then a downloadable PDF file of their progress report should be generated without errors.
As a user, I want to share my analytics report via email directly from the application to keep my team updated on my progress.
Given the user views their analytics report, when they select the 'Share Report' option and enter the recipient's email address, then the report should be sent successfully and received by the indicated email account.
As a user, I want to see a visual representation of my progress, showing a breakdown of completed vs remaining tasks on my dashboard.
Given the user accesses the Progress Tracker dashboard, when they look at the visual progress bar, then it should accurately reflect the percentage of completed tasks against the total tasks for onboarding.
Help and Support Integration
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User Story
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As a user, I want easy access to help and support during my onboarding so that I can quickly find answers to my questions and keep moving forward without interruptions.
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Description
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The help and support integration feature will provide users with direct access to support resources within the onboarding progress tracker. This will include links to FAQs, live chat support, and tutorials tailored to each module already completed. By embedding support directly into the progress tracker, users can immediately find assistance when they encounter difficulties, fostering a smoother onboarding experience. This requirement will improve user satisfaction by reducing frustration and helping users progress through their training with increased confidence.
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Acceptance Criteria
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Display of Help and Support Resources in Progress Tracker
Given a user has completed a module in the Progress Tracker, when they click on the help icon, then the system should display relevant FAQs, live chat support, and tutorials related to that module.
Accessibility of Help and Support Integration
Given a user is accessing the Progress Tracker on a mobile device, when they navigate to the help section, then the links to FAQs, live chat support, and tutorials should be clearly visible and easily clickable.
Response Time for Live Chat Support
Given a user initiates a live chat from the help and support section, when they send their first message, then the response time from support should not exceed 1 minute.
Completion Feedback from Help Resources
Given a user finishes using the help and support resources, when they close the resource window, then the system should prompt the user to provide feedback on the usefulness of the resources provided.
Error Handling for Help Links
Given a user accesses a help link from the Progress Tracker, when the link is broken or not functional, then the user should see an error message informing them of the issue and be offered alternative support options.
Tracking User Engagement with Help Resources
Given a user interacts with the help and support features, when the interaction data is collected, then the system should record the number of clicks on FAQs, live chat engagements, and tutorial views for analysis.
FAQ Integration
An easily accessible FAQ section linked to the Onboarding Buddy, providing instant answers to common questions or concerns users may have during their onboarding. This feature enhances user confidence by ensuring they have access to crucial information whenever needed.
Requirements
Dynamic FAQ Management
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User Story
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As an onboarding coordinator, I want to be able to easily manage FAQ content so that new users can find relevant answers quickly during their onboarding process.
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Description
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This requirement allows administrators to create, update, and manage FAQs directly within the InvenTech platform. The feature should include a user-friendly interface for adding new questions and answers, categorizing them for easier navigation, and the ability to publish or unpublish FAQs as needed. Integration with the Onboarding Buddy ensures that users can access the latest FAQs during their onboarding process. This dynamic management empowers businesses to provide accurate information quickly, reducing support inquiries, enhancing user experience, and ultimately boosting user confidence in using the platform.
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Acceptance Criteria
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As an administrator, I want to create a new FAQ entry in the InvenTech platform so that users can access important information during their onboarding process.
Given that I am logged in as an administrator, when I navigate to the FAQ management section and enter a new question and answer, then the new FAQ should be saved and visible to users in the Onboarding Buddy section.
As an administrator, I want to update an existing FAQ entry to ensure that the information provided to users during onboarding is accurate and up-to-date.
Given that I am logged in as an administrator, when I select an existing FAQ entry and make modifications to the question or answer, then the changes should be saved and reflected in the Onboarding Buddy immediately after publication.
As an administrator, I want to categorize my FAQs so that users can easily find relevant information related to specific topics during their onboarding process.
Given that I have multiple FAQs created, when I assign categories to these FAQs, then users should be able to filter and view FAQs based on these categories within the Onboarding Buddy feature.
As an administrator, I want to unpublish a FAQ entry when it becomes outdated or irrelevant so that users do not see misleading information.
Given that I am logged in as an administrator, when I select an active FAQ entry and choose to unpublish it, then the FAQ should no longer be visible in the Onboarding Buddy section for users until it is republished.
As a user going through the onboarding process, I want to access the FAQ section through the Onboarding Buddy so that I can find answers to my questions.
Given that I am using the Onboarding Buddy, when I click on the FAQ link, then I should be taken to a list of all active FAQs that can be easily navigated and searched.
As an administrator, I want to ensure the FAQ management interface is user-friendly so that even non-technical staff can manage FAQs without assistance.
Given that I am evaluating the FAQ management interface, when I attempt to create, update, or categorize FAQs, then I should be able to do so without any external assistance or extensive training.
Search Functionality for FAQs
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User Story
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As a new user, I want to be able to search for keywords in the FAQ section so that I can find the answers to my questions without having to navigate through multiple categories.
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Description
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This requirement introduces a robust search functionality within the FAQ section of the InvenTech platform. Users should be able to type keywords into a search bar to filter and display relevant FAQs, making information retrieval quick and efficient. This feature is crucial for improving the user experience by allowing users to find specific answers without scrolling through the entire FAQ list. Integration with AI may also provide suggestions for related questions based on user queries, further enhancing the usability of the FAQ section.
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Acceptance Criteria
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User searches for a specific FAQ while onboarding and receives relevant results.
Given that the user is on the FAQ page, when they enter a keyword into the search bar, then they should see a list of FAQs that match the keyword.
User attempts to search for FAQs with multiple keywords.
Given that the user is on the FAQ page, when they input multiple keywords into the search bar, then the system should return FAQs that include all the keywords provided.
User searches for keywords that do not exist in the FAQ.
Given that the user is on the FAQ page, when they search for a keyword that does not exist in any FAQ, then they should receive a message indicating no results were found.
User starts typing in the search bar and receives auto-suggestions for FAQs.
Given that the user is on the FAQ page, when they begin typing in the search bar, then the system should display a dropdown of suggested FAQs related to the entered text.
User searches for an FAQ and selects it from the results.
Given that the user has successfully searched for an FAQ, when they click on a suggested result, then the system should navigate them to the selected FAQ's detailed view.
User accesses the FAQ section on a mobile device and uses the search functionality.
Given that the user is on the FAQ page on a mobile device, when they tap the search bar and enter a keyword, then they should see relevant FAQs formatted for mobile display.
User provides feedback on search results for FAQs.
Given that the user has conducted a search, when they view the results, then they should have an option to provide feedback on the relevance of the FAQs displayed.
Multilingual Support for FAQs
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User Story
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As an international user, I want to access the FAQs in my native language so that I can understand the information without language barriers.
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Description
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This requirement ensures that the FAQ section is accessible to a diverse user base by providing multilingual support. The platform should allow FAQs to be translated into multiple languages, and users should be able to select their preferred language when accessing the section. This is important for enhancing inclusivity and ensuring that non-native speakers can access vital information easily, thereby improving overall user satisfaction and engagement.
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Acceptance Criteria
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User selects language preference during onboarding
Given the user is on the FAQ section, when they select their preferred language from a dropdown list, then the FAQs should be displayed in the selected language without any lag or errors.
User accesses FAQs in multiple languages
Given the FAQs are available in at least five different languages, when the user visits the FAQ section, then they should be able to switch between these languages seamlessly while retaining their previous position in the FAQ list.
Non-native English speakers using the onboarding buddy
Given a non-native English speaker is using the Onboarding Buddy, when they access the FAQ section, then they should see FAQs translated into their preferred language as indicated by their profile settings.
Admin adds and updates FAQ entries in multiple languages
Given an admin is in the FAQ management section, when they add or update a FAQs entry, then they must also provide translations for at least the top three requested languages by users.
User experience with multilingual FAQs
Given a user accesses the FAQ section in their preferred language, when they read an FAQ article, then all links and references should also lead to translated resources in the same language.
Performance of multilingual FAQ loading
Given a user selects their preferred language, when the FAQ section loads, then it should load within three seconds regardless of the selected language.
Feedback on language accuracy of FAQs
Given users can submit feedback on the accuracy of translations, when at least ten users provide feedback, then the admin should receive reports detailing any inaccuracies for review and action.
User Feedback Mechanism for FAQs
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User Story
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As a user, I want to provide feedback on the FAQ answers so that I can help improve the content for future users.
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Description
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This requirement facilitates a user feedback mechanism for the FAQ section, allowing users to rate the helpfulness of individual questions and answers. Users can provide comments or suggestions for improvement, which will be visible to administrators. This feedback loop is essential for continuously improving the FAQ content, ensuring it meets user needs effectively and enhances the overall quality of support provided through the FAQ section.
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Acceptance Criteria
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User provides feedback on an FAQ entry after accessing the FAQ section during the onboarding process.
Given a user is viewing an FAQ entry, when the user selects the option to rate the entry, then the user should be able to submit a rating from 1 to 5 stars and add comments for feedback.
Admin reviews the feedback received on FAQs to identify areas for improvement.
Given an admin accesses the FAQ feedback section, when the admin views the collected ratings and comments, then the admin should see a summary report including average ratings and individual comments for each FAQ entry.
User accesses the FAQ section from the Onboarding Buddy while initializing the platform.
Given a user clicks on the FAQ link from the Onboarding Buddy, when the FAQ page loads, then the user should see a list of FAQs with the option to provide feedback on each entry.
User submits feedback and sees a confirmation message after submitting a rating and comment.
Given a user submits a rating and a comment on an FAQ entry, when the submission is successful, then the user should see a confirmation message stating 'Thank you for your feedback.'
Feedback for FAQs is stored and can be accessed by administrators for further analysis.
Given a user has submitted feedback, when the feedback is recorded in the database, then the feedback should be retrievable by administrators for review and analysis at any time.
Integration with User Analytics
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User Story
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As an admin, I want to view analytics on FAQ usage so that I can identify popular questions and improve the onboarding experience by updating content as needed.
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Description
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This requirement incorporates user analytics into the FAQ section, tracking which questions are viewed most frequently, which are most helpful according to user ratings, and identifying content gaps based on user interactions. This analytics feature will enable administrators to make data-driven decisions about what content needs to be created or updated, ensuring that the FAQ remains relevant and valuable to users. Insights gained from user behavior will be crucial for optimizing both the FAQ and the onboarding process.
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Acceptance Criteria
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User accesses the FAQ section from the Onboarding Buddy during the onboarding process and views analytics on question interactions.
Given the user is on the onboarding page, when they click on the FAQ section, then they should see a list of FAQ questions with the analytics data displayed next to each question, including view counts and user ratings.
Administrator reviews the analytics dashboard to make informed decisions regarding FAQ content updates.
Given the administrator is logged into the admin panel, when they access the FAQ analytics dashboard, then they should see a comprehensive report of the most viewed questions, average user ratings, and any noted content gaps clearly presented.
User rates a FAQ question after finding it helpful and submits their feedback.
Given the user has read a FAQ question, when they select a rating and submit it, then their feedback should be recorded in the analytics system and reflected in the overall rating for that question.
User seeks a specific answer but cannot find it in the existing FAQs and accesses the feedback option.
Given the user is unable to find an answer in the FAQ, when they provide feedback indicating a content gap, then the feedback should be logged and flagged for review by the administrator.
The administrator receives a notification about frequently searched terms that do not have existing FAQs.
Given the administrator has set up the system to notify on content gaps, when users frequently search for questions that are unanswered, then the administrator should receive a notification containing a list of these search terms.
New content is created based on user interaction data and is successfully integrated into the FAQ.
Given that the administrator has reviewed the analytics data, when they create and publish new FAQ content, then it should be visible to users immediately upon publication.
User interacts with the FAQ section after viewing recommendations based on their previous interactions.
Given the user has previously engaged with the FAQ, when they return to the section, then they should see personalized recommendations for related questions based on their prior views.
Mobile-Friendly FAQ Design
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User Story
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As a mobile user, I want to access the FAQ section on my smartphone so that I can get answers on the go without any usability issues.
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Description
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This requirement ensures that the FAQ section is fully responsive and designed for optimal use on mobile devices. The layout should adjust seamlessly to different screen sizes, and users should be able to access the FAQ with the same ease and efficiency as on desktop. Considering that many users may access the platform via mobile devices, this feature is vital for providing a comprehensive and accessible onboarding experience regardless of the user's device.
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Acceptance Criteria
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Mobile FAQ Access
Given a mobile device user accesses the FAQ section, when the user views the page, then it should display correctly without horizontal scrolling on screens of 320 pixels or wider.
Responsive Design Elements
Given a mobile device user interacts with the FAQ section, when the user rotates the device from portrait to landscape, then all elements of the FAQ should rearrange correctly without loss of content or functionality.
Loading Performance on Mobile
Given a mobile device user accesses the FAQ section, when the page loads, then it should load fully within 2 seconds on average 4G connection.
Ease of Navigation on Mobile
Given a mobile device user navigates the FAQ section, when the user clicks on a question, then it should open and display the answer without any lag or delay.
User Interface Consistency
Given a user accesses the FAQ section on mobile, when they compare it with the desktop version, then the layout, color scheme, and font size should maintain consistency across both platforms.
Search Functionality on Mobile
Given a mobile device user accesses the FAQ section, when the user enters a search term in the search bar, then it should return relevant FAQ items quickly and accurately.
Accessibility Compliance
Given a mobile device user accesses the FAQ section, when the content is displayed, then it should meet WCAG 2.1 Level AA accessibility standards for mobile users.
Resource Hub
A centralized repository of helpful resources, including video tutorials, articles, and best practices that users can access while using the platform. This feature enriches the onboarding experience by providing ongoing learning opportunities that extend beyond initial training.
Requirements
Resource Categorization
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User Story
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As a new user, I want to access resources categorized by type so that I can quickly find tutorials and articles relevant to my learning needs.
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Description
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The Resource Hub must include an efficient categorization system that organizes resources by type, such as video tutorials, articles, and best practices. Users should be able to easily navigate through the categories for quick access to relevant materials. This feature enhances the user experience by ensuring that users can find the information they need without frustration, promoting a more effective onboarding process and ongoing learning.
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Acceptance Criteria
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Users are onboarding onto InvenTech and need to find video tutorials related to inventory management quickly without confusion.
Given a user navigates to the Resource Hub, When they select the 'Video Tutorials' category, Then they should see a list of available videos related to inventory management categorized correctly.
A new user wants to find articles on best practices for inventory management while using the platform for the first time.
Given a user accesses the Resource Hub, When they click on the 'Best Practices' category, Then they should see a well-organized list of articles relevant to inventory management best practices with clear titles.
An existing user wants to access a specific resource and needs the categorization system to filter the resources effectively.
Given a user is in the Resource Hub, When they search for 'stock levels' in the categorization filter, Then the system should display only the resources related to 'stock levels', filtering out all unrelated content.
A user encounters the Resource Hub and is looking for articles without any required navigation steps interrupting their experience.
Given a user opens the Resource Hub, When they view the initial categorization layout, Then they should see all categories (e.g., Video Tutorials, Articles, Best Practices) displayed prominently and can select one without requiring additional clicks.
Users need to receive guidance on how to navigate the Resource Hub for a smoother experience during onboarding.
Given a new user accesses the Resource Hub for the first time, When they interact with the categorization options, Then they should see tooltips or help icons explaining what each category contains as guidance.
Users are trying to quickly find resources to assist with a specific inventory challenge they are facing.
Given a user is on the Resource Hub, When they enter a keyword related to their challenge in the search bar, Then the Resource Hub should display relevant resources categorized correctly according to the type of material provided.
A user wants to revisit a resource they found helpful last week but now cannot remember its exact location in the Resource Hub.
Given a user accesses the Resource Hub, When they use the 'Recently Viewed' section, Then they should see a list of resources they accessed in the past week categorized by type for easy retrieval.
Search Functionality
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User Story
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As a user, I want to use a search bar to find specific resources so that I can access the information I need faster without sifting through irrelevant content.
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Description
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The Resource Hub should incorporate a robust search functionality that allows users to find specific resources using keywords or phrases. This feature needs to include filters such as date added, resource type, and popularity to refine search results. By enabling users to search effectively, it supports targeted learning and helps users to engage with the content they require in a timely manner.
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Acceptance Criteria
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Search for a specific video tutorial in the Resource Hub by entering relevant keywords in the search bar.
Given a user is in the Resource Hub's search bar, when they input a keyword relevant to a video tutorial, then they should see a list of video tutorial resources matching that keyword.
Filter search results by resource type to quickly find articles or videos in the Resource Hub.
Given the user has performed a search in the Resource Hub, when they select a filter for 'Article' or 'Video', then only resources of the selected type should be displayed in the search results.
Use the date filter to find resources added within the last month in the Resource Hub.
Given a user has accessed the search functionality, when they apply the date filter for 'Last Month', then only resources added in the past month should be shown in the results.
Sort search results by popularity to prioritize the most viewed resources in the Resource Hub.
Given the user has executed a search, when they select the 'Sort by Popularity' option, then the results should be rearranged in descending order of popularity based on user views.
Search for resources using multiple keywords to yield more specific results in the Resource Hub.
Given a user is performing a search, when they enter multiple keywords separated by commas, then the search results should include resources that match any of the keywords entered.
Access search results from a mobile device to ensure the Resource Hub is user-friendly across all devices.
Given a user accesses the Resource Hub from a mobile device, when they conduct a search, then the search results should be displayed correctly, with no loss of functionality compared to the desktop version.
View suggested search terms based on initial keyword entry in the Resource Hub.
Given a user begins typing a keyword in the search bar, when they pause after entering at least three characters, then a list of suggested search terms should appear to assist with refining their search.
Mobile Accessibility
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User Story
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As a mobile user, I want to access the Resource Hub from my phone so that I can learn and improve my skills wherever I am, without being restricted to a desktop.
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Description
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The Resource Hub should be designed to be fully accessible on mobile devices. This includes a responsive design that adjusts content layout for smaller screens, ensuring that all users can access resources anytime and anywhere. Mobile accessibility is crucial for users who may want to learn on the go, significantly enhancing convenience and user satisfaction.
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Acceptance Criteria
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Mobile users need to access the Resource Hub while traveling and require a seamless experience on their smartphones.
Given that a user opens the Resource Hub on a mobile device, when they navigate through the repository, then the content should adjust responsively to fit the screen without requiring horizontal scrolling.
Users want to view video tutorials on their smartphones during on-the-go training sessions.
Given that a user selects a video tutorial from the Resource Hub on a mobile device, when they click on play, then the video should load within 5 seconds and maintain smooth playback without buffering.
Users are accessing articles from the Resource Hub while in a meeting and need to read them quickly on their mobile devices.
Given that a user opens an article from the Resource Hub on their mobile device, when the article loads, then the font size should be adjustable and the text should be easy to read without the need for zooming in.
Users want to save articles from the Resource Hub for offline reading while they are in areas with poor internet connectivity.
Given that a user selects an article to save for offline reading, when they tap the save button, then the article should be stored locally on the device and accessible without an internet connection.
Users are using the Resource Hub's search feature to find specific content on their mobile devices.
Given that a user enters a search term in the Resource Hub search bar on a mobile device, when they hit search, then the results should return relevant resources within 3 seconds displayed in a mobile-friendly format.
Users need to access the Resource Hub from various mobile devices, including tablets and smartphones of various sizes.
Given that the user accesses the Resource Hub from a tablet, when they navigate through the repository, then the layout must adapt correctly to the specific tablet dimensions ensuring optimal usability.
User Feedback Integration
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User Story
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As a user, I want to leave feedback on resources I use so that I can contribute to improving the quality of resources available for others.
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Description
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The Resource Hub must have a feature that allows users to provide feedback on the resources they access, including ratings and comments. This functionality will help gather valuable insights for improving resource quality and relevance. By integrating user feedback, the Resource Hub can evolve based on user needs and preferences, ensuring it remains a valuable tool for ongoing learning.
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Acceptance Criteria
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User submits feedback after accessing a tutorial video in the Resource Hub.
Given a user has viewed a tutorial video, when they click on the feedback button, then they should be able to rate the video on a scale of 1 to 5 and leave a comment.
User accesses a page in the Resource Hub to view community comments on resources.
Given a user is on the Resource Hub, when they select a resource, then they should see all user comments and ratings related to that resource displayed below it.
Admin reviews aggregated user feedback for resource quality evaluation.
Given an admin is logged into the admin panel, when they navigate to the feedback section, then they should see a dashboard displaying average ratings and total feedback for each resource in the Resource Hub.
User tries to submit feedback without selecting a rating.
Given a user is on the feedback form, when they attempt to submit feedback without a rating, then they should receive an error message prompting them to select a rating before submission.
User attempts to edit their previously submitted feedback.
Given a user has submitted feedback on a resource, when they navigate to their feedback history, then they should be able to edit their comment and rating and see the changes reflected immediately.
System stores user feedback for future analysis and improvements.
Given a user submits feedback, when the feedback is saved, then it should be stored in the database with a timestamp and be retrievable for analysis by the admin team.
Progress Tracking
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User Story
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As a user, I want to track my progress in learning resources so that I can see how much I have completed and what I need to focus on next.
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Description
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The Resource Hub should include a feature that allows users to track their progress in video tutorials or learning paths. This feature will help users monitor their learning journey and encourage continued engagement with the content. By implementing progress tracking, users can stay motivated and recall previously viewed resources easily, enhancing the learning experience.
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Acceptance Criteria
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User tracking their progress in video tutorials within the Resource Hub after completing a module.
Given a user has completed a video tutorial, When they navigate to the progress tracking section, Then the completed tutorial should be marked as finished and accurately reflect their progress percentage.
User accesses the Resource Hub to view a list of available video tutorials and their status.
Given a user is logged into the Resource Hub, When they access the video tutorials section, Then they should see a list of tutorials with their corresponding completion status (not started, in progress, or completed).
A user resumes a video tutorial they previously started in the Resource Hub.
Given a user has partially completed a video tutorial, When they return to the tutorial, Then they should be able to continue from the point they last stopped, without losing their progress.
User receives notifications about their progress towards completing a learning path in the Resource Hub.
Given a user has enrolled in a learning path, When they reach a certain completion milestone (e.g., 50%), Then they should receive a notification confirming their progress and encouraging them to continue.
Admin reviews overall user progress across multiple video tutorials in the Resource Hub.
Given an admin is logged into the Resource Hub, When they access the analytics dashboard, Then they should see aggregated data showing the total number of users, average progress, and completion rates for each tutorial.
User accesses the Resource Hub on a mobile device to check their progress in video tutorials.
Given a user is using a mobile device, When they open the Resource Hub, Then the progress tracking feature should be fully accessible and functional, mirroring the desktop experience.
User can reset their progress tracking for tutorials in the Resource Hub.
Given a user has completed several video tutorials, When they choose to reset their progress for any tutorial, Then the system should accurately reset their completion status to 'not started.'
Quick Update Tool
A streamlined interface within the Mobile Stock Check that allows retail associates to rapidly update inventory levels and stock statuses directly from the sales floor. This feature ensures that all inventory data is current and accurate, reducing the likelihood of stock discrepancies and enhancing operational efficiency.
Requirements
Rapid Inventory Update Functionality
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User Story
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As a retail associate, I want to quickly update inventory levels from my mobile device so that I can ensure accurate stock information is available in real-time, minimizing errors and optimizing stock management during busy sales periods.
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Description
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The requirement entails the development of a user-friendly interface within the Quick Update Tool to enable retail associates to promptly update inventory levels and stock statuses from their mobile devices. This feature will integrate seamlessly with existing inventory management systems to ensure that all changes are captured in real-time. The functionality aims to reduce stock discrepancies and enhance operational efficiency by providing an easy way for associates to report and adjust stock levels immediately, thus improving the accuracy of inventory data and enabling better decision-making regarding stock management.
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Acceptance Criteria
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Retail associate uses the Quick Update Tool on the sales floor after a product has been sold to update the inventory level in real-time.
Given a retail associate has access to the Quick Update Tool, when they scan a sold product and enter the new stock level, then the inventory should reflect the updated stock level immediately within 2 seconds.
A retail associate needs to mark a product as out of stock due to a supply chain issue while on the sales floor.
Given a retail associate uses the Quick Update Tool, when they choose to mark an item as out of stock, then the system should update the item's status and trigger an alert for reorder within 5 seconds.
Several retail associates are using the Quick Update Tool simultaneously during peak hours to update various inventory levels.
Given multiple users are accessing the Quick Update Tool at the same time, when each associate updates inventory levels, then all changes should be appropriately logged and displayed without errors or data loss.
A retail associate accidentally enters a negative value for stock quantity in the Quick Update Tool.
Given a retail associate inputs a negative stock value in the Quick Update Tool, when they attempt to submit the update, then an error message should be displayed, and the submission should be blocked.
A retail associate wants to update multiple items at once to save time during busy hours.
Given a retail associate selects multiple items to update in the Quick Update Tool, when they enter the new stock levels and confirm, then all selected items should be updated simultaneously with real-time verification of each update's success.
The Quick Update Tool interface refreshes after an update has been made to ensure all associates see the most current information.
Given a successful inventory update is made, when the Quick Update Tool is accessed again by other associates, then the latest inventory status should be reflected without manually refreshing.
User Access Control
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User Story
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As an inventory manager, I want to control who can update inventory levels so that I can maintain the integrity of stock data and ensure that only qualified staff can make changes.
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Description
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This requirement focuses on creating a robust user access control system within the Quick Update Tool. It will allow administrators to define roles and permissions for different users, ensuring that only authorized personnel can make critical inventory updates. The implementation of this feature will enhance security by preventing unauthorized changes to inventory data and ensuring that compliance standards for data accuracy and integrity are met. It will also simplify user management by allowing for easy edits of user roles and permissions as necessary.
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Acceptance Criteria
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User Access Control for Inventory Updates by Roles
Given an administrator is logged into the Quick Update Tool, When they attempt to assign roles to users, Then each user must have a defined role that limits their access to critical inventory updates based on the permissions set by the administrator.
Role-Based Access Restriction During Inventory Updates
Given a user with limited permissions attempts to update inventory levels, When they submit the update request, Then the system must deny the request and display a message stating insufficient permissions.
Audit Trail for User Activity in Inventory Updates
Given any successful or unsuccessful access attempt by a user, When the action is performed, Then the system must log the user ID, action taken, timestamp, and outcome in an audit trail accessible to administrators.
Real-Time Updates to User Roles and Permissions
Given an administrator modifies a user's role or permissions, When the change is saved, Then those changes must be reflected in real-time, preventing the user from accessing restricted features immediately.
Multi-Channel User Access for Inventory Management
Given a retail associate logs into the Mobile Stock Check from a mobile device, When they access the Quick Update Tool, Then they must see the inventory levels that correspond to their assigned permissions across all channels they manage.
Simplified User Management for Administrators
Given an administrator is in the User Management section, When they view the list of users, Then they must be able to quickly edit, delete, or assign roles with a user-friendly interface.
Compliance with Data Integrity Standards
Given that the User Access Control system is in place, When any inventory updates are made, Then the system must demonstrate compliance with data integrity standards by preventing unauthorized changes and maintaining an accurate inventory log.
Real-time Stock Synchronization
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User Story
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As a business owner, I want to ensure that all inventory levels are updated across platforms in real time so that I can provide accurate stock availability information to my customers and prevent lost sales due to stockouts.
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Description
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This requirement involves the development of a real-time synchronization mechanism that allows the Quick Update Tool to automatically update inventory levels across all connected sales channels and systems. This feature will ensure that inventory data remains consistent regardless of where updates are made, minimizing the risk of overstock or stockouts due to delays in data propagation. This capability is crucial for maintaining an accurate inventory record and optimizing fulfillment processes, ultimately enhancing customer satisfaction by ensuring that product availability information is reliable.
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Acceptance Criteria
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Retail associates at a clothing store are using the Quick Update Tool on their mobile devices to update the stock levels of newly arrived merchandise during peak hours on the sales floor. They need to ensure that all changes immediately reflect across all sales channels and systems.
Given that a retail associate updates the inventory level of an item in the Quick Update Tool, When the update is confirmed, Then the inventory level should be automatically synchronized across all connected sales channels within 5 seconds.
A sales associate completes a stock check and updates multiple items using the Quick Update Tool. They want to verify that all updates are accurately reflected in the main inventory database and displayed on the sales floor screens.
Given that multiple items are updated in the Quick Update Tool, When the updates are published, Then all updated inventory levels should match the inventory data in the main database without discrepancies.
During a holiday sale, retail associates frequently update inventory levels using the Quick Update Tool. They need to ensure that simultaneous updates do not cause any loss of data or inaccuracies.
Given that multiple retail associates attempt to update inventory levels simultaneously in the Quick Update Tool, When the updates are processed, Then all updates should be successfully applied without causing data loss or overwriting errors.
A manager checks the inventory status remotely after updates have been made via the Quick Update Tool during a busy shopping period. They need to ensure that the information is current and accurate for decision-making.
Given that updates have been made to stock levels through the Quick Update Tool, When the manager accesses the inventory report, Then the report should reflect the most recent updates made within a maximum of 5 seconds delay.
A retail associate uses the Quick Update Tool to remove an item from inventory that is no longer available for sale. They need to ensure this change is reflected across all connected systems to avoid confusion for customers.
Given that an item is removed from inventory using the Quick Update Tool, When the removal is confirmed, Then the item should be marked as out of stock across all sales channels immediately.
Customers are viewing inventory levels online while associates are making updates in-store. The goal is to ensure that customers always see accurate, up-to-date inventory information in real-time.
Given that a customer is viewing an item on the website while an associate updates the inventory level in the Quick Update Tool, When the associate saves the update, Then the customer's view should refresh to reflect the new inventory level within 5 seconds.
Barcode Scanner Integration
An integrated barcode scanning feature that enables retail associates to quickly scan items for instant inventory checks or updates. This functionality simplifies the process of tracking stock, speeding up updates, and ensuring correct item management, thereby enhancing customer satisfaction by reducing wait times.
Requirements
Real-time Inventory Updates
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User Story
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As a retail associate, I want to scan items using a barcode scanner so that I can instantly update inventory counts without delay, ensuring that the stock levels are always accurate.
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Description
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This requirement involves the immediate synchronization of inventory data with the scanning information received from the barcode scanner. This feature necessitates the integration of the barcode scanning capability with the inventory management system to allow retail associates to update stock quantities and item statuses instantly. The primary benefit of this requirement is to minimize discrepancies between actual stock and recorded inventory levels, reducing the chances of either overstock or stockout situations. By implementing this, InvenTech enhances the accuracy of inventory records in real-time, facilitating better decision-making and operational efficiency.
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Acceptance Criteria
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Retail associate scans a barcode for an in-stock item to check current inventory levels during a busy sales period.
Given a retail associate is using the barcode scanner to check an item in stock, when the barcode is scanned, then the system should display the current inventory level of that item in real-time, updated accurately within 2 seconds.
A retail associate uses the barcode scanner to increase stock quantity after a delivery of new items.
Given a retail associate scans a barcode for a newly delivered product, when the quantity is adjusted in the system, then the updated stock quantity should reflect accurately in the inventory database immediately after scanning, with no manual entry required.
A retail associate scans a barcode for an item to mark it as out of stock during an inventory check.
Given a retail associate scans a barcode for an out-of-stock item, when the status is updated, then the item should be marked as out of stock in the inventory system within 3 seconds and be reflected in the inventory reports accordingly.
A manager reviews inventory reports after associates have scanned items throughout the day.
Given the barcode scanner has been used to update inventory during the day, when a manager accesses the inventory report, then the report should show real-time, accurate inventory levels and discrepancies should be minimized to less than 5%.
During a sale event, customers line up and associates need to quickly check item availability using the barcode scanner.
Given multiple barcode scans are happening simultaneously during peak hours, when an associate scans an item, then the system should process each scan with no more than a 2-second delay, maintaining operational speed and efficiency.
A retail associate needs to retrieve historical sales data tied to item inventory levels after making updates with the scanner.
Given an associate has scanned items and updated stock quantities, when they request to view historical data for the scanned items, then the system should retrieve and display complete historical sales and inventory data for the past 30 days without error.
User-Friendly Scanning Interface
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User Story
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As a retail associate, I want an easy-to-use interface for the barcode scanner so that I can quickly scan items and provide a seamless checkout experience for customers.
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Description
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This requirement focuses on developing an intuitive user interface for the barcode scanning feature that allows retail associates to scan items efficiently. It should provide clear visual feedback once an item is scanned, display confirmation messages, and highlight any errors in real-time. The user interface should be designed considering usability principles to minimize training time and enhance the overall associate experience. This feature is crucial for optimizing user interactions with the system, promoting faster scanning processes, and thus elevating customer service by reducing waiting times at checkout.
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Acceptance Criteria
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Retail associate initiates a barcode scan using the user-friendly scanning interface.
Given the user-friendly scanning interface is open, when the retail associate scans an item, then the item should be successfully identified and the corresponding item details should be displayed on the screen within 2 seconds.
A retail associate scans an item that is not in the inventory database.
Given the barcode scanner is operational, when the retail associate scans a barcode that does not exist in the inventory, then an error message should be displayed clearly indicating that the item could not be found.
A retail associate completes a successful scan of an item and needs confirmation of the process.
Given an item has been scanned successfully, when the retail associate views the screen, then a confirmation message should appear stating 'Item scanned successfully' along with the item’s details.
Retail associate uses the interface while the barcode scanner loses connection temporarily.
Given the barcode scanner is temporarily disconnected, when the associate attempts to scan an item, then the interface should display a notification indicating the loss of connection and prompt the associate to reconnect.
Retail associate is scanning multiple items during checkout.
Given the user-friendly scanning interface is active, when the retail associate scans multiple items in succession, then each item's details should be displayed in a list format in real-time without delays, allowing the associate to review scanned items before finalizing the sale.
A retail associate attempts to scan an item while the app is updating in the background.
Given that the app is updating, when the retail associate scans an item, then the scanning functionality should remain operational and display real-time feedback without interruption, ensuring usability is maintained during the update.
The retail associate scans a damaged or poorly printed barcode.
Given a damaged barcode is presented for scanning, when the retail associate attempts to scan it, then the interface should provide clear visual feedback indicating a scan error, and suggest options for manual entry or rescan.
Barcode Format Compatibility
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User Story
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As a retail associate, I want the barcode scanner to support different barcode formats so that I can efficiently manage our diverse product inventory without worrying about compatibility issues.
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Description
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This requirement establishes support for multiple barcode formats (e.g., UPC, EAN, QR codes) within the integrated scanning feature. It ensures that the barcode scanner is capable of recognizing and processing various types of barcodes to accommodate diverse product ranges within the inventory. This enhances flexibility and integration with existing products and inventory systems, ensuring that InvenTech can serve a wide array of businesses without limitation. This capability is essential for achieving comprehensive inventory management and maximizing the scanning feature's usability across different retail environments.
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Acceptance Criteria
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Barcode scanning multiple formats in a retail environment during peak hours to manage inventory efficiently.
Given the barcode scanner is activated, When a UPC barcode is scanned, Then the system should correctly recognize and update the inventory count based on the scanned item.
Using the barcode scanner to check inventory levels of products that have EAN barcodes within the warehouse.
Given the scanner is configured for EAN format, When an EAN barcode is scanned, Then the inventory system should verify the item against the stock database without errors.
Scanning a QR code on promotional materials to provide detailed information about a product.
Given the barcode scanner supports QR codes, When a QR code is scanned, Then the user should be redirected to a product information page on the application.
Integrating the barcode scanning functionality with the ERP system during an inventory audit.
Given an item with an accepted barcode format is scanned, When it is processed, Then the inventory levels in the ERP system should automatically synchronize with the scanner data.
Retrieving product information using barcode scanning in a fast-paced retail checkout environment.
Given that different barcode formats are displayed on products, When any supported barcode is scanned at the checkout, Then the system should display the product name, price, and availability immediately.
Integration with ERP Systems
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User Story
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As a business manager, I want the barcode scanning feature to integrate with our ERP system so that inventory updates are reflected in all our databases effortlessly, maintaining data consistency across platforms.
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Description
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This requirement entails seamless integration of the barcode scanning functionality with existing Enterprise Resource Planning (ERP) systems used by clients. It aims to ensure that every scanned item not only updates inventory in real-time but also reflects changes in the ERP, providing a holistic view of stock levels across different platforms. This integration is vital for synchronizing business operations and ensuring that all departments have access to the latest inventory data. By connecting the barcode scanning feature with ERP systems, InvenTech will enhance operational efficiency and improve overall business processes.
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Acceptance Criteria
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Integration with ERP Systems for Real-Time Inventory Updates
Given an item is scanned using the barcode scanner, when the scan is successful, then the inventory level must be updated in real-time in both InvenTech and the connected ERP system to reflect the new stock level.
Verification of Data Synchronization Between InvenTech and ERP
Given multiple items are scanned consecutively, when the update is executed, then each scanned item's data should be synchronized accurately between InvenTech and the ERP system without data loss or discrepancies.
User Interface Feedback After Scanning
Given an item has been scanned, when the scan is processed, then the user should receive immediate visual confirmation on the interface showing the updated inventory status and a success message indicating synchronization with the ERP.
Error Handling and Notifications for Scanning Failures
Given an item fails to scan or update due to connectivity issues, when the error occurs, then the user must be notified with a clear error message and guidance on how to resolve the issue.
Security and Access Control During Integration
Given the integration with ERP systems, when a user scans an item, then the barcode scanning operations must respect user permissions set in the ERP, ensuring unauthorized access to inventory data is prevented.
Performance Under Load During High Activity
Given a high volume of scanned items during a busy business period, when the transactions are processed, then the system must maintain a response time of under 2 seconds for each inventory update and synchronization with the ERP.
Mobile Scanning Capability
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User Story
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As a retail associate, I want to use my mobile device to scan barcodes so that I can check inventory levels and process updates anywhere on the sales floor, enhancing my ability to serve customers promptly.
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Description
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This requirement encompasses the design and implementation of a mobile-friendly barcode scanning feature, allowing retail associates to use mobile devices for inventory checks and updates. The mobile scalability ensures that associates can access inventory controls on the go, thereby improving operational flexibility and responsiveness to customer needs. By enabling mobile scanning capabilities, InvenTech supports dynamic inventory management and allows associates to assist customers more effectively, contributing to a more agile retail operation.
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Acceptance Criteria
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Retail associate scanning an item to check its stock level in a busy store during peak hours.
Given that the retail associate has logged into the mobile app, when they scan the barcode of an item, then the current stock level should be displayed within 2 seconds.
A retail associate using the mobile scanner to update the stock quantity of an item after a sale has occurred.
Given that an item has been sold, when the associate scans the item's barcode and enters the new quantity, then the inventory should be updated in real-time without any errors.
Inventory auditing using the mobile scanner in the store to verify actual stock against system records.
Given that the associate selects the 'audit' mode in the app, when they scan the barcodes of items, then the mobile app should display discrepancies between the actual and recorded stock along with suggestions to rectify the differences.
A retail associate checking the stock of a high-demand item during a promotional event.
Given that the associate scans the barcode of a high-demand item, when the stock level is low, then a notification should be triggered to alert the associate to reorder the item.
Using the mobile scanner to perform a stock take at the end of the day.
Given that it's the end of the day, when the associate scans the barcodes of all items, then the mobile app should provide a summary report of scanned items and their respective quantities.
A customer inquiring about the availability of a product in real-time while at the checkout.
Given that the customer requests information on a product, when the associate scans the product's barcode with the mobile scanner, then the app should quickly display if the product is available for immediate purchase.
Integrating barcode scanning with the existing ERP system for seamless updates.
Given that an item has been scanned, when the inventory is updated via the mobile app, then the ERP system should reflect the changes within 5 minutes without manual intervention.
Stock Request System
Empowers retail associates to instantly request stock replenishments or notify management about low inventory levels through the mobile app. This feature promotes effective communication and enables proactive inventory management, ensuring that shelves remain stocked and ready for customers.
Requirements
Instant Stock Request Submission
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User Story
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As a retail associate, I want to be able to submit stock requests instantly through the mobile app so that I can ensure shelves are restocked quickly and maintain customer satisfaction without delays.
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Description
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The Instant Stock Request Submission requirement enables retail associates to quickly and easily submit stock replenishment requests using the mobile app. This capability includes an intuitive interface that allows users to select items from the inventory catalog, specify quantities needed, and add comments if necessary. The benefit of this requirement is that it enhances communication between floor staff and inventory management, leading to fewer stockouts and improved customer experience. This feature will integrate seamlessly with existing inventory tracking systems to provide real-time updates on stock levels and order processing, ensuring that requests are processed efficiently and accurately. The expected outcome is a more responsive inventory management process that minimizes disruption in customer service.
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Acceptance Criteria
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Retail associate selects an item from the inventory catalog to request a stock replenishment while on the sales floor.
Given the retail associate is on the mobile app, when they access the inventory catalog, then the associate should be able to view all available items and their current stock levels in real-time.
Retail associate specifies the quantity required for the stock replenishment request.
Given the retail associate is viewing an item, when they enter a quantity into the request form, then the app should validate that the quantity is greater than zero and less than or equal to the maximum quantity allowed for that item.
Retail associate adds comments to the stock request to provide additional context or urgency.
Given the retail associate has selected an item and entered a quantity, when they choose to add a comment in the designated text field, then the app should allow them to input up to 250 characters without errors.
Retail associate submits a stock replenishment request through the mobile app.
Given the retail associate has completed the request form, when they tap the submit button, then the app should send a confirmation message and update the request status in real-time within the inventory tracking system.