SupplySync

Instant Notifier

Send real-time push notifications the moment inventory levels drop below thresholds. Instant Notifier ensures that retailers receive immediate alerts for low stock and restock triggers, enabling swift action to prevent disruptions.

Requirements

Threshold-Based Notification Engine

"As a retail manager, I want to receive instantaneous notifications when inventory levels are low so that I can take prompt actions to reorder stock."

Description

Implement a robust monitoring engine that continuously tracks inventory levels and automatically triggers push notifications when stock levels fall below predetermined thresholds. This module integrates seamlessly with the inventory management system to ensure real-time responses, enabling timely restocking decisions and minimizing the risk of stockouts.

Acceptance Criteria

Real-Time Inventory Alert Trigger

Given an inventory item with a stock level below the predefined threshold, When the monitoring engine detects the drop, Then an immediate push notification is sent to all designated devices.

Accurate Threshold Monitoring

Given that threshold values are configured for all inventory items, When the system updates stock records, Then the engine accurately compares current levels against the thresholds in real-time.

Push Notification Delivery

Given a low-stock situation, When a push notification is activated, Then it must include essential details such as item identification, current stock, and restocking call-to-action.

Seamless System Integration

Given a triggered low stock alert, When the engine receives data from the inventory management system, Then it must process and integrate this information seamlessly without delay or duplication in notifications.

Immediate User Action Workflow

Given the retailer receives a low-stock alert notification, When they interact with the notification, Then the system should redirect them to a detailed inventory page providing actionable insights for restocking.

Customizable Notification Settings

"As a retail manager, I want the ability to customize notification parameters so that I can align alerts with my store's specific restocking strategy."

Description

Provide an interface for users to configure notification preferences including threshold levels, notification frequency, and alert types. This feature allows customization to suit different operational needs and reduces notification fatigue by letting users tailor settings to their business requirements.

Acceptance Criteria

Setting Custom Threshold Levels

Given the user is on the notification settings interface, when they enter specific threshold levels for stock alerts and tap 'Save', then the system should update and store these custom thresholds for future notifications.

Notification Frequency Configuration

Given the notification settings page, when the user selects a desired notification frequency and confirms the change, then notifications should be triggered following the specified interval and frequency.

Alert Type Customization

Given the customizable settings interface, when the user opts for specific alert types (such as push notifications or emails) and saves the selection, then the system will only send notifications using the chosen methods.

Saving Custom Settings

Given the user has modified notification preferences, when they submit changes by clicking the 'Save' button, then all custom settings should be saved correctly and reflected in the user's account configuration.

Default Notification Settings Recovery

Given that custom notification settings are in place, when the user decides to reset to default settings, then the system should revert back to the original preset notification configurations and update the UI accordingly.

Historical Alert Audit and Reporting

"As a retail manager, I want to review past notifications and their outcomes so that I can analyze alert performance and optimize inventory management strategies."

Description

Develop a reporting module that logs all alerts sent through the notification system, providing historical data for analytics and decision making. This feature will store detailed records of all notifications, including timestamp, inventory levels at the time of alert, and action taken, enabling performance reviews and system optimization.

Acceptance Criteria

Audit Log Completeness

Given an alert is sent via Instant Notifier, when the alert is generated, then the system must log the timestamp, inventory level, and the action taken for that alert.

Notification Data Integrity

Given a push notification is sent, when the audit log is recorded, then the entry must accurately reflect the original alert details including timestamp, inventory levels, and associated actions.

Real-Time Reporting Accuracy

Given multiple alerts over time, when generating the historical report, then the aggregated data must be accurate, chronologically ordered, and contain complete details for each alert.

User Access Control for Audit Logs

Given a user with permissions, when accessing the historical audit logs, then the system must display data in accordance with security protocols and role-based access rules.

Performance Under Load

Given a high frequency of alerts during peak times, when querying the audit logs, then the system must return the results within 2 seconds for up to 1,000 log records.

Custom Alert Scheduler

Temporary Alert Mute Capability

Given a busy business period, when a user activates the mute function for alerts, then the system should suppress notifications temporarily and clearly display the mute status.

Real-Time Notification Preference Update

Given a change in alert schedule or threshold, when a user updates their preferences, then the system should apply these changes in real time without requiring a manual refresh.

Smart Alert Prioritization

Automatically rank notifications based on urgency and potential impact. This feature prioritizes critical alerts over less significant ones, so users can focus efforts where it truly matters.

Requirements

Critical Alert Flagging

"As a retail manager, I want to see critical alerts flagged instantly so that I can address urgent supply issues before they escalate."

Description

Integrate a robust alert flagging system that automatically distinguishes and highlights notifications requiring immediate attention. The system should evaluate alert severity using AI-driven analysis to identify high-impact issues, ensuring timely notifications and reducing the duration of stockouts. It leverages historical inventory trends to set appropriate thresholds, integrating seamlessly into the SupplySync platform to enhance operational efficiency.

Acceptance Criteria

Real-Time Critical Alert Detection

Given that inventory fluctuations are detected in real-time data, when the AI analyzes the data, then alerts flagged as high-impact based on historical trends should be automatically prioritized.

AI-Driven Severity Evaluation

Given incoming notifications from various inventory data sources, when the alert flagging system processes them through AI analysis, then the system should assign severity levels according to predefined thresholds derived from historical trends.

Consistent Integration With SupplySync Platform

Given the integration context with the SupplySync platform, when alerts are flagged and displayed, then they should seamlessly integrate into the notification dashboard without impacting other system functions.

Dynamic Alert Ranking Algorithm

"As a retail manager, I want my alerts automatically re-ranked based on up-to-date data so that I can focus on issues that could disrupt my inventory management."

Description

Develop and implement an AI-based algorithm that dynamically adjusts the ranking of alerts in real-time based on live inventory and sales data. This feature continuously refines the prioritization criteria by analyzing current trends and predictive indicators, ensuring that alerts with the most significant potential impact are surfaced first. This mechanism is key to the Smart Alert Prioritization functionality, optimizing the decision-making process for retail managers.

Acceptance Criteria

Real-Time Data Processing

Given live inventory and sales data updates, when changes occur, then the algorithm must recalculate alert rankings within 5 seconds to ensure real-time accuracy.

Dynamic Alert Adjustment

Given a sudden surge in sales data coupled with low inventory levels, when these conditions are detected, then the algorithm must prioritize related alerts as critical.

Predictive Trend Analysis

Given historical sales patterns and predictive indicators, when upcoming stockouts are forecasted, then the algorithm should escalate the priority of alerts accordingly.

User Interface Synchronization

Given that dynamic changes in alert rankings occur, when the algorithm updates the rankings, then the user interface must refresh in real-time to display the updated order without requiring a manual refresh.

Algorithm Performance Monitoring

Given that the alert ranking algorithm is operational, when performance metrics are monitored, then the system must log execution times and flag any instance where ranking updates exceed a 5-second threshold.

User Customization of Alert Settings

"As a retail manager, I want to customize the alert settings so that the system reflects my specific priorities and business context."

Description

Enable a feature that allows users to customize their alert settings, thresholds, and prioritization preferences according to their unique business needs. This includes providing options to adjust sensitivity levels for notifications, select the data sources that influence alert importance, and override default algorithm parameters. The customization enhances the SupplySync platform’s flexibility, ensuring that the Smart Alert Prioritization feature aligns with varied operational requirements.

Acceptance Criteria

Custom Sensitivity Adjustment

Given a user accesses the alert customization panel, when they adjust the sensitivity slider for notifications, then the system updates and displays the new threshold value in real time.

Data Source Selection for Alerts

Given a user is configuring alert settings, when they select or deselect data sources that influence alert importance, then the system should update the alert prioritization based on the chosen data sources.

Override Default Prioritization

Given a user wishes to apply their custom ranking rules, when they override the default algorithm parameters, then the system should implement the custom parameters and reflect the new priority order for alerts.

Real-Time Reflection of Custom Settings

Given a user saves any changes to their alert settings, when the next triggering event occurs, then the system must reflect the updated settings in the alert prioritization process in real time.

Alert History Log

Maintain a detailed record of all notifications and inventory events. The Alert History Log offers insights into past trends and alert patterns, empowering data-driven decisions for effective stock management.

Requirements

Alert Filtering

Given multiple alert records are present, when the user opts to sort by timestamp or event type, then the detailed alert view should reflect the sorted order accurately with correct details.

Data Integrity Verification

Given an alert record with data linked to current inventory status, when the detailed view is accessed, then the displayed information must match the latest inventory data from the system.

Responsive Detailed Alert View

Given an alert record is viewed on mobile devices, when the detailed alert view loads, then all pertinent details (timestamp, event type, inventory items, actions) must be clearly presented in a responsive layout.

Real-Time Alert Synchronization

"As a retail manager, I want alerts to update in real-time so that I can immediately respond to any changes in my inventory and prevent potential stockouts."

Description

Integrate real-time data synchronization for the alert log to ensure that new notifications and inventory events are immediately captured and reflected. This capability is critical for maintaining an up-to-date log and enabling proactive management of emerging supply issues.

Acceptance Criteria

Real-Time Event Logging

Given a new inventory event is triggered, When the event occurs, Then the alert history log must update immediately to reflect the new notification.

Instantaneous Notification Display

Given a notification is generated, When the alert is received by the system, Then the log must display the notification within two seconds.

Consistent Data Across User Sessions

Given a user accesses the alert history log, When the user navigates between different modules, Then the displayed alerts remain current without any lag or outdated entries.

Error Handling in Alert Synchronization

Given a failure occurs during real-time data synchronization, When an error is detected, Then an error message is logged and an alert is sent to the system administrator.

Interactive Alert Dashboard

Visualize and manage alerts through an intuitive, centralized interface. The Interactive Alert Dashboard aggregates real-time notifications with actionable insights, simplifying the monitoring of inventory fluctuations.

Requirements

Real-time Alert Aggregation

Leverage advanced machine learning algorithms to sift through historical sales data and identify underlying demand trends. This feature empowers retailers to spot subtle shifts in market behavior, ensuring proactive inventory adjustments and competitive stocking strategies.

Requirements

Description

Develop a performance tuning module that continuously assesses and refines the machine learning algorithms powering the trend analyzer. This component will include automated feedback loops, performance metrics tracking, and model retraining schedules to ensure accuracy and reliability over time.

Acceptance Criteria

Real-Time Metrics Dashboard

Given the system is operational, when the AI Model Performance Tuning module captures performance metrics, then the dashboard must display updated metrics with a refresh interval of less than 5 seconds, including model accuracy and latency.

Automated Model Retraining Trigger

Given historical performance data shows degradation, when the model's performance drops below the defined threshold, then an automated retraining process must be initiated according to the preset schedule.

Feedback Loop Integration

Given the availability of new sales and inventory data, when performance metrics are updated, then the module must incorporate a feedback loop to adjust trend analysis algorithms based on real-world inputs.

Comprehensive Error Logging

Given an anomaly or error in model performance, when such an event occurs, then the system must log the error details and notify system administrators, achieving a 95% success rate in issue detection.

User Notification on Model Adjustments

Given any adjustments or retraining of the model, when the performance tuning module executes changes, then the system must send a notification to the retailer dashboard summarizing the modifications and anticipated impact.

Peak Demand Predictor

Automatically forecast demand surges during critical sales periods using real-time data analytics. This predictive tool minimizes stockouts during peak times by alerting users to upcoming high-demand scenarios, enabling optimal inventory planning.

Requirements

Real-Time Data Integration

Given a forecasted demand surge, when the dashboard processes predictive analytics, then clear inventory recommendations with actionable insights are displayed.

Responsive Design Scenario

Given access from both mobile and desktop, when the dashboard loads, then all visual elements adjust responsively ensuring optimal user experience across devices.

Adaptive Stock Replenisher

Adjust inventory levels dynamically by correlating historical sales trends with real-time market fluctuations. This smart feature ensures that retailers receive tailored replenishment recommendations, effectively reducing excess stock and preventing shortages.

Requirements

Sales Data Aggregation

Given simultaneous sales and supply order processing, when both events occur concurrently, then the system accurately updates inventory without conflicts.

Accurate Real-Time Reporting

Given the system dashboard, when accessed, then it displays current stock levels based on real-time data from sales and supply events.

Error Handling in Update Mechanism

Given an error occurs during an update process, when an error event is triggered, then the system logs the error, notifies the administrator, and preserves data integrity.

Smart Alert Notifications

"As a retailer, I want to receive notifications for low stock or excess inventory to quickly take corrective actions and avoid disruptions in sales."

Description

Develop a configurable alert system that notifies retailers of critical inventory changes, including low stock levels and overstock conditions. Alerts will enable proactive actions, ensuring timely restocking or promotional activities to maintain balanced inventory.

Acceptance Criteria

Low Inventory Alerts Trigger

Given that a product's stock level falls below the predefined threshold, when the level is detected, then the system must send an alert notification to the retailer.

Overstock Notification Activation

Given that product inventory exceeds the specified overstock condition, when this condition is met, then the system must trigger a notification alert for possible stock reduction or promotional action.

Configurable Alert Thresholds

Given that the retailer customizes alert thresholds via the configuration panel, when inventory changes occur, then the system must reference these settings and send notifications based on the configured values.

Supplier Integration Gateway

"As a procurement manager, I want the system to automatically connect with supplier networks so that replenishment orders can be initiated seamlessly based on predictive analytics."

Description

Create an integration layer that connects the inventory management system with supplier networks. This requirement allows automatic order placements based on predictive algorithms, streamlining the procurement process and reducing manual interventions.

Acceptance Criteria

Automatic Order Placement

Given the inventory system receives predictive analytics data indicating low stock, When the system detects inventory below the threshold, Then the Supplier Integration Gateway must automatically place an order with the designated supplier.

Real-time Supplier Updates

Given a new order is placed, When the supplier returns an order confirmation or status update, Then the system must reflect the updated order status and inventory levels in real-time.

Error Handling and Retry Mechanism

Given an attempt to connect with the supplier network fails, When an error occurs during order placement, Then the system must log the error and initiate a retry mechanism, alerting the appropriate personnel if retries fail.

Seasonal Adjustment Engine

Incorporate seasonality factors into inventory forecasts to capture peak and off-peak periods accurately. It refines AI predictions with contextual insights, ensuring that inventory levels are well-aligned with seasonal demand patterns.

Requirements

Seasonal Demand Data Integration

"As a small retail manager, I want seasonal demand data to be integrated into inventory forecasts so that my stock levels adjust accurately to seasonal trends and I maintain optimal inventory throughout the year."

Description

Integrate historical and forecasted seasonal data into the inventory management system to ensure that the Seasonal Adjustment Engine captures both past trends and anticipated seasonal events. This integration will enhance the AI-driven predictive restocking by aligning inventory levels with seasonal variations, reducing stockouts and overstock, and providing a seamless connection between sales data and seasonal demand patterns.

Acceptance Criteria

Import Historical Seasonal Data

Given the seasonal demand data file is provided by the user, when the data import process is executed, then all historical seasonal trends must be accurately loaded and stored in the system database.

Forecast Seasonal Demand Integration

Given that the predictive module receives forecast seasonal data, when the Seasonal Adjustment Engine processes the input, then the forecasted seasonal trends must be incorporated correctly into inventory predictions.

Error Handling on Data Mismatch

Given that there is a mismatch in the provided seasonal data fields, when the integration process encounters the error, then the system must generate a clear error message and halt the process without corrupting existing data.

Real-Time Synchronization of Seasonal Data

Given that seasonal data is updated in the backend, when the integration process runs, then the changes must be reflected immediately on the inventory dashboard for real-time monitoring.

User Confirmation on Seasonal Data Changes

Given that seasonal data changes occur that could impact inventory levels, when these changes are detected, then the system must prompt the user for confirmation before applying adjustments to the predictive restocking engine.

Seasonality Weighting Algorithms

"As a small retail manager, I want predictive algorithms to factor in seasonal variations so that my inventory forecasts are more accurate and responsive to changes in demand during peak and off-peak periods."

Description

Develop and implement weighting algorithms that adjust inventory forecasts based on seasonal factors. This feature will analyze historical events, cultural trends, and market data to assign season-specific weightings, thereby refining AI predictions and ensuring that inventory recommendations reflect the true impact of seasonality.

Acceptance Criteria

Seasonal Data Integration

Given historical sales and inventory data, when the weighting algorithm is executed, then it must automatically integrate seasonal multipliers derived from cultural events and historical trends.

Historical Trend Analysis

Given a dataset of historical events and seasonal sales patterns, when the algorithm processes this data, then it should assign accurate seasonal weightings that reflect peak and off-peak periods with a minimum accuracy threshold of 80%.

Real-time Forecast Adjustment

Given a continuous stream of live sales and inventory data, when seasonal adjustments are applied, then the forecast updates must occur within 5 minutes and align with pre-established seasonal trends.

Accuracy Verification Process

Given periodic performance reviews, when actual inventory performance is compared against the algorithm's forecast, then any discrepancy in seasonal periods must not exceed 15% variance.

User Interface Feedback Loop

Given end-user interactions with the seasonal adjustment engine, when viewing inventory recommendations, then the system must provide clear and responsive graphical representations of seasonal trends and forecast adjustments.

Dynamic Forecast Adjustment

"As a retail manager, I want the inventory forecasts to update automatically in real-time when seasonal trends shift so that I can promptly adjust stock levels and avoid overstocking or shortages."

Description

Enable real-time, dynamic adjustments to inventory forecasts as seasonal trends or unexpected market shifts are detected. This feature allows the system to modify restocking recommendations on-the-fly, ensuring that inventory levels remain optimized even as seasonal behaviors or anomalies occur.

Acceptance Criteria

Real-Time Seasonal Trend Detection

Given new seasonal sales data is received, when the Seasonal Adjustment Engine detects a seasonal trend shift, then the system must dynamically adjust the inventory forecast and update restocking recommendations in real time.

Unexpected Market Shift Response

Given an unexpected spike or drop in sales occurs, when the system processes this anomaly concurrently with seasonal data, then it should immediately adjust the forecast to reflect the market shift and prompt corrective actions in restocking.

Dynamic Forecast Accuracy Validation

Given a complete seasonal cycle has elapsed, when comparing the AI-generated forecast with actual sales data, then the forecast variance must be within an acceptable margin of 5% deviation.

Seamless Integration with Inventory System

Given that the dynamic forecast is updated, when the new recommendations are pushed to the inventory management system, then the updates must be integrated seamlessly without requiring manual intervention and must reflect the current forecast accurately.

User Notification on Forecast Adjustment

Given the system performs a dynamic adjustment, when a user accesses the dashboard, then they must receive a clear notification detailing the trigger—seasonal change or market anomaly—and the corresponding impact on the forecast.

Seasonal Insights Dashboard

"As a small retail manager, I want a visual dashboard displaying seasonal trends and forecast data so that I can make informed decisions and quickly react to changes in inventory demand across different seasons."

Description

Provide a comprehensive dashboard that visualizes seasonal trends, forecast data, and performance indicators to help retail managers understand the seasonal dynamics influencing their inventory. The dashboard will offer interactive charts, real-time updates, and actionable insights that empower decision-making and strategic planning.

Acceptance Criteria

Interactive Data Visualization Activation

Given a logged in retail manager on the Seasonal Insights Dashboard, When the manager selects a specific season from the filter options, Then interactive charts should update immediately to display the corresponding seasonal trends, forecast data, and performance indicators.

Real-time Forecast Updates Integration

Given updated sales data is received by the system, When the backend processes the update, Then the Seasonal Insights Dashboard should reflect changes in inventory forecasts and seasonal performance indicators within 5 seconds.

User Actionable Insights Display

Given that the dashboard has analyzed current seasonal data, When a significant seasonal deviation or high demand is detected, Then clear actionable insights and restocking suggestions should be prominently displayed to the retail manager.

Comprehensive Seasonal Trends Overview

Given the available historical data, When the retail manager accesses the dashboard, Then a visual summary of seasonal trends including historical performance, seasonal peaks, and troughs should be provided with appropriate legends and labels.

Forecast Insight Dashboard

Preference Saving for Future Reports

Given the user customizes analytics reporting parameters, when they save these preferences, then the system stores them securely and applies them in subsequent report generations upon the user's selection.

Auto Order Trigger

Automatically places replenishment orders with connected suppliers as soon as inventory hits predefined thresholds. This seamless automation eliminates manual ordering, reduces delays, and ensures that products are always available, directly enhancing operational continuity and customer satisfaction.

Requirements

Dynamic Inventory Thresholds

"As a retail manager, I want to set and adjust inventory thresholds so that my restocking strategy aligns with actual product demand and seasonal trends."

Description

The system shall allow users to define and customize inventory thresholds for different product categories by integrating historical sales data and AI predictions to set optimal reordering points. This functionality adjusts thresholds based on seasonal trends and product performance metrics, ensuring a responsive inventory management system that minimizes both stockouts and overstock situations.

Acceptance Criteria

Dynamic Threshold Customization

Given the user accesses the inventory settings, when they input new threshold values based on the displayed historical sales data, then the system should save and apply these thresholds immediately.

Seasonal Adjustment Integration

Given that the system detects seasonal trends from historical sales data, when it recalculates threshold values, then it should automatically adjust the thresholds for all relevant product categories.

AI-Driven Prediction Processing

Given that AI algorithms update predictions for inventory restocking, when the system recalculates thresholds, then it should integrate both historical data and AI predictions to set the optimal reorder point for each product category.

Inventory Trigger Notification

Given that a product inventory reaches its dynamically set threshold, when this condition is met, then the system shall automatically trigger a replenishment order notification to connected suppliers.

User Feedback Update

Given that a user updates the inventory thresholds, when they submit the changes, then the system should immediately display an updated summary reflecting the new thresholds and calculated reorder points.

Automated Order Execution

"As a retail manager, I want the system to automatically trigger orders when stock is low so that I can maintain continuous product availability without manual oversight."

Description

The system shall automatically place replenishment orders with connected suppliers when inventory falls below predefined thresholds. This feature continuously monitors real-time inventory levels, processes order confirmations, manages exceptions like supplier unavailability, and calculates optimal order quantities using AI. It enhances operational continuity by reducing manual intervention and minimizing delays.

Acceptance Criteria

Low Inventory Order Trigger

Given the inventory level is at or below the predefined threshold, when the system detects the level drop, then it shall automatically initiate a replenishment order with the connected supplier.

AI-Based Order Quantity Calculation

Given a replenishment order is triggered, when the system calculates the optimal order quantity using AI algorithms, then the order quantity shall accurately reflect demand forecasts and historical consumption data.

Real-Time Inventory Monitoring

Given the continuous update of inventory levels, when a sale or stock usage occurs, then the system shall immediately update the inventory and validate threshold conditions.

Automatic Order Confirmation Processing

Given an order is placed automatically, when a supplier sends an order confirmation, then the system shall update the order status and notify the appropriate stakeholders.

Exception Handling for Supplier Unavailability

Given a supplier is unavailable or fails to confirm an order within the expected timeframe, when such an exception is detected, then the system shall trigger an alert to the inventory manager and log the incident.

Supplier Order Confirmation and Tracking

"As a retail manager, I want to receive real-time order confirmations and status updates so that I can proactively manage my inventory and address any issues promptly."

Description

The system shall provide capabilities to confirm order placements and track the status of each order with suppliers in real time. This functionality includes sending automated notifications, capturing supplier confirmations, updating order statuses, and alerting on processing delays. It ensures transparency and timely communication throughout the replenishment process, helping preempt potential supply chain issues.

Acceptance Criteria

Real-Time Order Confirmation

Given a replenishment order is placed, when the supplier confirms the order, then the system updates the order status to 'Confirmed' and sends an automated notification to the inventory manager.

Automated Order Tracking and Notification

Given an order is being processed, when order status changes (e.g., processing, shipped, delivered), then the system updates the tracking details in real time and notifies the inventory manager immediately.

Alerting on Processing Delays

Given an expected status update delay, when no update is received for over 24 hours, then the system triggers automated alerts to the inventory manager and supplier management team.

Supplier Connection Hub

Integrates a comprehensive network of reliable suppliers into a single, centralized platform. It streamlines vendor communication and selection, making it easier for retailers to manage supplier relationships and negotiate partnerships while ensuring prompt and accurate restocking.

Requirements

Automated Supplier Matching

"As a small retailer, I want an automated supplier matching feature so that I can effortlessly connect with the best suppliers without manually comparing options."

Description

This requirement focuses on implementing an AI-driven module that matches retailer inventory demands with the most suitable supplier based on factors such as stock availability, delivery timelines, and pricing. It leverages real-time sales data and supplier updates to ensure that the connection between supply and demand is optimized, facilitating seamless restocking and minimizing delays. The system also allows customizable parameters to adjust matching priorities aligning with individual retailer strategies.

Acceptance Criteria

Automated Matching Trigger

Given retailer inventory demand is detected, when real-time sales and supplier data are received, then the system shall automatically initiate supplier matching based on customizable parameters.

Supplier Ranking and Prioritization

Given multiple suppliers qualify for the restock need, when the system computes scores based on stock availability, delivery timelines, and pricing, then it shall rank suppliers and select the optimal match.

Real-Time Update Integration

Given continuous updates in sales and supplier inventory data, when these updates occur in the system, then the supplier matching process shall be recalculated in real-time to reflect current conditions.

Customizable Matching Parameters Implementation

Given a retailer sets specific matching preferences, when these preferences are updated in the system, then all subsequent supplier matching processes shall adhere to these custom parameters.

Centralized Supplier Directory

"As a retailer, I want a centralized supplier directory so that I can quickly access and compare supplier details to choose the best vendor."

Description

This requirement establishes a centralized supplier repository within the platform to consolidate all supplier profiles, product details, delivery performance, and contact information, providing a comprehensive view of available vendor options. It streamlines vendor comparison and selection, ensuring that retailers have quick access to up-to-date supplier data and can make informed decisions.

Acceptance Criteria

Directory Display

Given a logged-in retailer accesses the platform, When the retailer navigates to the supplier directory, Then all supplier profiles including product details, delivery performance, and contact information must be displayed in an organized layout.

Supplier Filtering

Given a retailer is viewing the supplier directory, When they apply filter criteria such as product type or delivery performance, Then the system must update the display to show only the suppliers that meet the selected filters.

Supplier Profile Update

Given an administrator updates a supplier's profile, When the changes are saved, Then the supplier directory must reflect the updated information immediately with an accurate timestamp.

Vendor Comparison

Given a retailer selects multiple suppliers from the directory, When the comparison function is initiated, Then a side-by-side comparison of key attributes (pricing, product details, and delivery performance) must be displayed.

Real-time Data Sync

Given supplier details are stored in the centralized repository, When any external update occurs, Then the central supplier directory must reflect the change within 5 minutes to ensure current data is displayed.

Real-time Communication Interface

"As a retailer, I want a real-time communication interface so that I can easily communicate with suppliers and resolve any order-related queries instantly."

Description

This requirement develops an integrated communication tool that facilitates real-time messaging, notifications, and updates between retailers and suppliers within the Supplier Connection Hub. It enhances collaboration and ensures that any inquiries, order requirements, and negotiations are conducted promptly and accurately through an intuitive interface embedded in the system.

Acceptance Criteria

Instant Communication Activation

Given a retailer initiates a conversation within the interface, when a supplier is online, then the system must deliver the message in real-time with immediate notifications to both parties.

Accurate Notification Delivery

Given a supplier sends an update, when the retailer's device is online, then the system must deliver an immediate notification; and if the device is offline, then the notification should be queued and sent upon reconnection.

Synchronization of Chat Logs

Given any conversation initiated within the interface, when either party sends a message, then the system must update the chat log in real-time for both the retailer and supplier, ensuring complete and synchronized records.

Error-Free Message Receipt

Given a network disruption occurs, when connectivity is restored, then the system must automatically deliver any pending messages in the correct order without data loss or duplication.

User Acknowledgement Confirmation

Given a message is delivered to the recipient, when the recipient views the message, then the system must mark the message as read with a timestamp to confirm acknowledgement.

Dynamic Vendor Rating System

"As a retailer, I want a dynamic vendor rating system so that I can evaluate and select suppliers based on up-to-date performance metrics and reviews."

Description

This requirement entails the implementation of a vendor rating system that continuously aggregates feedback, performance metrics, and reliability scores from recent transactions to provide a dynamic rating for each supplier. It enables retailers to assess vendor reliability and service quality, thereby making more informed decisions when establishing supplier relationships.

Acceptance Criteria

Real-Time Feedback Aggregation

Given recent transactions and supplier interactions, when feedback and performance metrics are recorded, then the system aggregates these inputs to update vendor ratings in real-time.

Performance Metric Weighting

Given that multiple performance indicators are available, when the dynamic rating system calculates overall scores, then each metric (delivery time, product quality, reliability) is weighted according to pre-defined parameters.

User Interface Display

Given that a supplier has an updated dynamic rating, when a retailer views the Supplier Connection Hub, then the current rating is clearly displayed with an option to view detailed performance breakdown.

Historical Rating Trends

Given ongoing changes in supplier performance, when a vendor's rating history is requested, then the system provides a time-series analysis of rating changes for at least the past 90 days.

Alert on Critical Rating Fall

Given that a vendor's rating falls below a predefined critical threshold, when this drop is detected, then the system generates an automated alert with contextual details and recommended actions.

Negotiation & Contract Management Module

"As a retailer, I want a negotiation and contract management module so that I can streamline supplier agreements and ensure clear, enforceable contracts."

Description

This requirement focuses on creating a seamless module for managing supplier negotiations and contracts, including features for drafting, reviewing, and digitally signing agreements. The module aims to centralize contract management and provide an audit trail for all negotiations, enhancing transparency and reducing administrative overhead.

Acceptance Criteria

Drafting Module Workflow

Given a logged-in retail manager accessing the Negotiation & Contract Management Module, when the user initiates drafting a new contract, then the system should provide template options, auto-save drafts, and allow for editing.

Digital Signing Integration

Given a finalized contract in the module, when the retail manager and supplier digitally sign the agreement, then the system should record the signatures, timestamp them, and update the contract status to 'Signed'.

Contract Audit Trail

Given any contract or negotiation within the module, when a review is triggered, then the module must display a complete audit trail of changes, interactions, and revisions with user identities and timestamps.

Vendor Negotiation Interaction

Given a supplier negotiation is initiated within the module, when communications occur between the retail manager and the supplier, then all interactions should be logged in chronological order and be accessible for future audits.

Contract Notification Alerts

Given the existence of active contracts with upcoming deadlines, when a contract is nearing expiry or requires final signature, then the system should automatically send notifications to the retail manager and the relevant supplier contacts.

Dynamic Threshold Calculator

Utilizes real-time data analytics to adjust reorder thresholds based on seasonal trends, historical sales, and market fluctuations. This intelligent recalibration keeps stock levels optimal, prevents over-ordering, and reduces the risk of stockouts, empowering smarter inventory management.

Requirements

Real-Time Data Feed Integration

"As a small retail manager, I want real-time data integration so that I can consistently receive accurate trend and sales data for precise inventory control."

Description

Establish a secure and efficient real-time data feed integration component that aggregates historical sales, market trends, and seasonal data. This integration is critical for feeding the Dynamic Threshold Calculator with up-to-date information, ensuring accuracy in data analysis and threshold computation. It supports seamless data transmission, filtering, and preprocessing to optimize inventory management capabilities within SupplySync.

Acceptance Criteria

Real-Time Data Feed Activation Scenario

Given the system is live with active data sources, When the real-time data feed integration is initiated, Then the system should securely aggregate historical sales, market trends, and seasonal data within 5 seconds of triggering.

Aggregated Data Accuracy Verification Scenario

Given that data from multiple sources is aggregated, When the Dynamic Threshold Calculator receives the data, Then the system should validate and filter the data to ensure 99% accuracy and consistency before processing.

Secure Data Connection Establishment Scenario

Given a secure network environment with proper credentials, When the real-time data feed is connected, Then the integration component must establish an encrypted connection and perform a security handshake within 3 seconds.

Intelligent Threshold Adjustment Logic

"As a retail manager, I want the system to calculate and adjust reorder thresholds automatically so that I can maintain optimized inventory levels without constant manual oversight."

Description

Develop a robust algorithm that utilizes statistical and predictive models to adjust reorder thresholds dynamically based on seasonal trends, historical sales, and market fluctuations. This logic is essential for automating inventory optimization, minimizing overstock and stockout risks, and ensuring that dynamic recalibrations are seamlessly integrated with the overall SupplySync platform.

Acceptance Criteria

Real-Time Data Integration

Given that real-time sales, seasonal trends, and market fluctuation data are available, when the system ingests the data, then the dataset for threshold adjustments is updated accurately.

Dynamic Threshold Recalculation

Given historical sales data and seasonal trends, when the algorithm runs, then it must recalculate reorder thresholds within acceptable variance levels defined by business logic.

Algorithm Performance Under Load

Given peak data volumes during high transactional periods, when the algorithm executes, then it must complete the recalibration within the predefined performance benchmark.

Seamless Platform Integration

Given the integration with existing SupplySync modules, when the threshold adjustment logic is deployed, then it should interact seamlessly with other system components without causing data conflicts.

User Notification on Threshold Changes

Given that threshold adjustments are performed, when changes are applied, then users must receive clear and timely notifications outlining the new reorder thresholds.

Analytics Dashboard for Threshold Monitoring

"As a store manager, I want an interactive dashboard so that I can easily monitor and analyze dynamic inventory thresholds and adjust strategies as needed."

Description

Implement an integrated analytics dashboard that provides real-time visualizations of threshold adjustments and inventory trends. The dashboard should include graphs, charts, and detailed reports reflecting the dynamic recalibration process, empowering users with actionable insights to monitor and verify threshold optimization, ultimately enhancing decision-making.

Acceptance Criteria

Real-Time Dashboard Loading

Given the user accesses the dashboard, when the page loads, then all graphs and charts must display data updated in real-time.

Threshold Adjustment Visualization

Given thresholds are recalibrated based on seasonal and historical data, when the system processes these adjustments, then the dashboard must display clear visual indicators (graphs and charts) reflecting each adjustment.

Interactive Detailed Reports

Given a user selects a threshold adjustment datapoint, when the detailed report view is opened, then a comprehensive breakdown including seasonal trends, historical sales, and market fluctuations must be displayed.

Data Synchronization Accuracy

Given real-time sales data is received, when the dashboard refreshes, then all displayed data and visualizations must reflect the most recent data with an accuracy rate of at least 99%.

Order Status Tracker

Offers real-time tracking and detailed status updates on all orders placed through the system. By providing visibility into shipping, delivery, and fulfillment processes, users can confidently manage inventory timelines and maintain high service standards.

Requirements

Real-Time Order Updates

"As a small retail manager, I want to receive real-time updates on order status so that I can adjust my inventory planning immediately."

Description

This functionality will provide instantaneous order status updates to users as orders progress through various stages like processing, shipping, and delivery, reducing wait-time buffers and enabling improved inventory timeline management.

Acceptance Criteria

Instant Order Processing Notification

Given an order is placed, when the processing stage begins, then a real-time processing notification is sent to the user.

Real-Time Shipping Update

Given an order has been shipped, when shipping details are updated, then the system immediately displays the updated status including expected delivery time to the user.

Immediate Delivery Confirmation

Given an order is out for delivery, when the order is delivered, then the system instantly sends a confirmation update along with tracking information to the user.

Order Status Failure Notification

Given an order update fails, when a communication error occurs, then the system sends an error notification to the user with clear remediation steps.

Synchronized Order Status on Dashboard

Given multiple orders with varied statuses, when the user accesses the dashboard, then all order statuses are accurately rendered in real time with distinguishable visual indicators.

Detailed Status Information

"As a retail manager, I want to see detailed information for each order status update so that I can precisely track fulfillment and delivery timelines."

Description

This requirement involves displaying detailed information for each order status, including analytics such as timestamps, carrier information, and process specifics, ensuring the users have comprehensive insight into their orders.

Acceptance Criteria

Real-Time Order Update View

Given an order is processed, when a user accesses the Order Status Tracker, then the system must display detailed status information including exact timestamps, carrier details, and process specifics.

Historical Data Retrieval

Given a completed order, when a user requests historical status analytics, then the system must retrieve and display detailed data such as timestamps, carrier information, and process milestones.

Dynamic Status Filtering

Given multiple orders with varying statuses, when a user applies filtering by timestamp or carrier, then the system must dynamically update and show only the orders that meet the filter criteria, ensuring details like processing stages are visible.

Order History Log

"As a store owner, I want a complete order history log so that I can analyze past order performance and identify patterns to optimize future operations."

Description

Provide a complete historical log of all state changes for orders, which will enable users to review past order statuses for performance tracking and analysis over time.

Acceptance Criteria

Order Log Creation

Given an order undergoes a state change, when the system processes the event, then a corresponding entry shall be created in the order history log with a timestamp and state details.

Order History Filtering

Given that a user is reviewing the order history log, when they apply filters such as date range or specific order status, then the system shall display only the filtered set of logs accurately.

Order Log Accuracy

Given multiple order state changes, when the log is reviewed, then each log entry must accurately reflect the correct sequence of state changes with precise timestamps and details.

Data Integrity on Concurrent Updates

Given concurrent updates to order statuses, when multiple state changes occur in rapid succession, then the order history log must prevent duplicate entries and maintain integrity with accurate data.

Real-time Order Log Update

Given an order state transition, when the state change is triggered by the system, then the order history log should immediately update in real time to reflect the new status.

Integrated Notifications

"As a small retail manager, I want to receive notifications when my orders reach key milestones so that I can immediately take necessary actions to manage inventory."

Description

Implement a notification system that alerts users via preferred channels (email, SMS, or app notifications) when significant order status milestones are reached, ensuring timely actions and proactive management.

Acceptance Criteria

Order Shipment Notification

Given an order's status changes to 'Shipped', When the notification system is triggered, Then the user should receive an email and app notification according to their preferences.

Order Delivery Confirmation

Given an order's status is updated to 'Delivered', When the system processes the update, Then the user should receive an SMS and app notification as per their selected communication method.

Order Issue Alert

Given an order encounters a processing delay or error, When the system identifies the delay or error condition, Then the user should be alerted immediately via their preferred channel as configured in the settings.

Interactive Order Tracking UI

"As a retail manager, I want an intuitive interface that displays the order journey visually so that I can assess order progress without navigating through complex menus."

Description

Develop an intuitive and user-friendly interface that visually represents the order journey, including timelines and progress bars, enabling a quick understanding of the order status at a glance.

Acceptance Criteria

Real Time Order Tracking on Dashboard

Given a valid order is processed, when the user accesses the dashboard, then the UI displays an interactive timeline and progress bars reflecting the current order stages.

Responsive Interface for Mobile and Desktop

Given multiple device screen sizes, when the order tracking UI is accessed, then the display automatically adjusts ensuring the timeline and progress bars are clearly visible and functional across devices.

Dynamic Order Status Updates

Given a change in an order’s status, when the status update event is triggered, then the UI refreshes the timeline and progress bars in real time to reflect the new status.

Error Handling for Incomplete Order Data

Given incomplete or corrupted order data, when an order status is attempted to be displayed, then the UI shows an error message and provides actionable instructions to resolve the issue.

Procurement History Log

Robust Search Functionality Performance

Given a database of over 10,000 procurement transactions, When the user performs a search using any combination of filtering criteria, Then the results should be returned in less than 2 seconds without performance degradation.

Real-Time Visualizer

Transform data into instantly digestible visualizations. This feature offers dynamic charts and graphs that update in real-time, providing small retail managers with immediate insights into inventory trends and movements, thereby enhancing decision-making speed and accuracy.

Requirements

Real-Time Data Update

"As a small retail manager, I want the visualizations to update in real-time so that I can quickly respond to inventory changes and make informed decisions."

Description

This requirement ensures that the Real-Time Visualizer continuously fetches and updates data with minimal latency. It integrates various backend data streams such as inventory, sales, and supplier updates, ensuring that small retail managers receive the most current insights into inventory trends and movements. The implementation focuses on optimizing performance and maintaining visualization accuracy, even with high-frequency data changes.

Acceptance Criteria

High Frequency Data Stream

Given that the system receives multiple data updates per minute from inventory, sales, and supplier feeds, when the data is processed, then the Real-Time Visualizer must update its display within 2 seconds with accurate data.

Accurate Inventory Trend Display

Given that the system integrates inventory, sales, and supplier data, when the combined data is parsed and visualized, then the Real-Time Visualizer must reflect an error rate of less than 0.5% in any displayed trend.

Seamless Data Integration

Given multiple backend data streams, when concurrent updates occur, then the system must ensure that there are no data collisions or display lags, maintaining a system uptime of 99.9% during data processing.

Customizable Visualization Dashboard

"As a small retail manager, I want to customize the visualization dashboard so that I can focus on the data that most effectively informs my inventory management."

Description

This requirement involves developing a flexible dashboard that allows users to customize visualizations based on their preferences. It should enable the selection of chart types, application of filters, and segmentation of data to highlight the metrics most pertinent to the business. The feature integrates seamlessly within SupplySync to enhance user experience and support tailored decision-making processes.

Acceptance Criteria

Dashboard Customization Basics

Given a logged-in user on the dashboard, when the user selects a chart type from available options, then the dashboard renders the selected chart accurately.

Dynamic Filter Application

Given the customizable dashboard, when a user applies a filter to the data, then the visualization updates in real-time to reflect the filtered dataset.

Data Segmentation Functionality

Given a logged-in user with multiple data segments, when the user segments data by criteria such as date or product category, then the dashboard shows segmented visualizations correctly.

Real-Time Data Synchronization

Given that inventory data is updated in real-time, when the user views the dashboard, then the dashboard automatically refreshes to display the latest trends and metrics without manual refresh.

Responsive Layout Across Devices

Given access to the dashboard on various devices, when the dashboard is loaded on a mobile, tablet, or desktop, then the layout and customizations adjust responsively to deliver optimal viewing experiences.

Interactive Data Drill-Down

"As a small retail manager, I want to interact with and drill down into visualized data so that I can identify detailed trends and underlying issues in my inventory."

Description

This requirement introduces interactive capabilities within the visualizations, allowing users to drill down into specific data points for more detailed insights. Users can click on chart segments to access underlying data, view trends over time, and analyze related supplier details. This functionality is key to uncovering in-depth insights and enabling informed decision-making directly from the visual interface.

Acceptance Criteria

Basic Drill-Down Interaction

Given a user is viewing a real-time visualization chart, when the user clicks on a chart segment, then detailed underlying data, including numerical values and trends, must be displayed accurately.

Trend Analysis Drill-Down

Given a user drills down into a specific chart segment, when the detailed view loads, then historical trend data and time-series graphs should be rendered to show past performance trends.

Supplier Data Access

Given a user is analyzing a detailed drill-down view, when they click on supplier information, then detailed supplier-specific data, such as order history and contact details, must be presented correctly.

Responsive Interaction Performance

Given the interactive visualizations are in use, when a user performs a drill-down action, then the data must load within 2 seconds to ensure a smooth user experience.

Data Accuracy Verification

Given a drill-down operation is executed, when the detailed data is displayed, then all information must be verified against the source inventory database to ensure consistency and accuracy.

Custom Insights

Empower users to personalize their dashboard by selecting key performance indicators that matter most to their business. Custom Insights aggregates critical metrics tailored to each user’s needs, streamlining data analysis and enabling efficient inventory management.

Requirements

Dashboard Customization Interface

"As a small retail manager, I want to customize my dashboard layout so that I can focus on the key metrics most relevant to my business and optimize my inventory management decisions."

Description

Develop a user-friendly interface that allows users to drag, drop, and arrange their custom insights elements, integrating supply-demand metrics and adjustable layouts. This interface will facilitate personalized dashboards by providing context-sensitive guidance and ensuring seamless integration with the SupplySync ecosystem to enhance inventory management efficiency.

Acceptance Criteria

DragAndDropInterfaceUsage

Given a logged in user on the dashboard customization interface, when the user drags and drops a widget, then the widget should reposition correctly on the dashboard.

RealTimeLayoutUpdate

Given the user has arranged a new dashboard layout, when the user saves the configuration, then the changes should be immediately reflected on the dashboard view in real-time.

ContextSensitiveGuidance

Given a new dashboard element is added, when the user hovers over the element, then context-sensitive guidance should appear to assist with customization options.

IntegrationWithSupplySync

Given inventory data updates in SupplySync, when the dashboard is refreshed or viewed, then the custom insights should automatically reflect the latest supply-demand metrics.

UserFriendlyInterfacePerformance

Given frequent customization interactions, when the user interacts with the dashboard customization interface, then the interface should load and respond within 2 seconds.

KPI Selector Module

"As a small retail manager, I want to select which KPI metrics to display so that I can monitor the aspects of my business that matter most and make informed supply decisions."

Description

Implement a module that allows users to add, remove, and prioritize key performance indicators for their dashboard. This feature will automatically update the dashboard display based on selected KPIs, ensuring real-time data integration and providing tailored insights to help manage inventory and predict restocking needs effectively.

Acceptance Criteria

Dynamic KPI Selection

Given a user is on the dashboard customization screen, when they add, remove, or prioritize KPIs, then the system should update the dashboard display in real-time to reflect the changes.

Real-time Data Integration

Given a KPI is active on the dashboard, when the underlying data is updated, then the dashboard should automatically reflect the updated data without delay.

User Dashboard Customization

Given a user has customized their KPIs, when they save their settings, then the system should persist these selections and reload the custom configuration in subsequent sessions.

Responsive UI KPI Module

Given the KPI module is accessed from various devices, when a user interacts with the module across different resolutions, then the module must maintain functionality and display consistency.

Error Handling and Edge Cases

Given a user attempts to add an unsupported or invalid KPI, when this action is performed, then the system should display a clear error message and prevent the unsupported KPI from being added.

Data Visualization Enhancer

"As a small retail manager, I want intuitive visualizations for my custom insights so that I can quickly understand data trends and make better-informed inventory decisions."

Description

Incorporate a range of visualization tools such as graphs, charts, and heatmaps to represent selected custom insights in an engaging and easily digestible format. This feature will support quick interpretation of trends and anomalies in inventory and sales data, providing actionable insights and enhancing the overall user experience in managing supply and demand.

Acceptance Criteria

Dynamic Graph Dashboard

Given the user has personalized their dashboard with selected custom metrics, when the dashboard loads, then the system dynamically generates graphs and charts that reflect real-time data updates.

Interactive Heatmap Visualization

Given the user selects the heatmap view, when the visualizations render, then interactive tooltips and filter options are available to analyze inventory trends and sales anomalies.

Exportable Visualization Reports

Given that visualizations have been successfully generated on the dashboard, when the user opts to export the data, then the system produces exportable PDF or image files that retain accurate legends and formatting.

Customizable Dashboard Layout

Given the user navigates to the dashboard customization settings, when they rearrange or select different visualization components, then their layout modifications are saved and persist across sessions.

Responsive Visualization Rendering

Given the user accesses the dashboard on various devices, when the page loads, then the visualizations are rendered responsively, adjusting to different screen sizes and resolutions.

Inventory Heatmap

Highlight crucial inventory metrics with a visually intuitive heatmap that identifies areas of overstock and low stock. This feature allows users to quickly spot critical trends, reducing manual checks and enabling prompt action to balance inventory levels.

Requirements

Heatmap Data Aggregation

Given a disruption in the live data feed, when the interruption is detected, then the heatmap should retain the last updated data along with a visible timestamp to indicate data freshness.

Interactive Drill-down Functionality

"As a store owner, I want to drill down into heatmap segments to access detailed inventory insights so that I can analyze specific areas of concern and optimize my restocking strategy."

Description

Incorporate interactive drill-down capabilities allowing users to click on specific heatmap segments to reveal detailed product information, including sales trends and restocking insights, for in-depth inventory analysis.

Acceptance Criteria

User Drilling into Overstock Areas

Given a heatmap segment representing overstock items, when the user clicks on the segment, then a drill-down panel must display detailed product information, sales trends, and restocking insights within 2 seconds.

User Drilling into Low Stock Areas

Given a heatmap segment highlighting low stock inventory, when the user clicks on the segment, then the drill-down view should display detailed product data, including restocking recommendations and sales performance trends, optimized for both desktop and mobile devices.

Validating Sorting Options in Drill-Down View

Given the drill-down view is open, when the user selects different sorting options (e.g., highest sales, lowest stock), then the displayed product list must re-order accordingly, ensuring accurate and stable data representation.

Alert Analyzer

Merge automated alerts with immediate analytical insights. Alert Analyzer not only notifies users of inventory anomalies but also offers actionable recommendations, enabling proactive inventory adjustments and reducing the potential for costly stock discrepancies.

Requirements

Real-Time Alert Notifications

"As a small retail manager, I want to receive instant alerts when inventory anomalies occur so that I can immediately address potential issues and maintain optimal stock levels."

Description

This requirement provides real-time alert notifications to small retail managers, ensuring immediate awareness of any detected inventory anomalies. It integrates seamlessly with SupplySync's AI-driven predictive restocking system to deliver timely alerts that empower users to make swift inventory adjustments, minimizing stock discrepancies and reducing the risk of stockouts.

Acceptance Criteria

Immediate Alert Delivery

Given an inventory anomaly is detected by the AI-driven system, when the anomaly occurs, then the system must send a real-time alert notification to the small retail manager within 2 seconds.

Alert Accuracy Verification

Given fluctuations in inventory levels, when an anomaly is detected, then the alert must include accurate anomaly details with at least 95% data accuracy and precision.

Actionable Recommendations Inclusion

Given an alert notification is sent, when the manager views the alert, then it must include one or more actionable recommendations for adjusting inventory levels.

Seamless System Integration

Given the integration of SupplySync’s inventory system with the AI-driven restocking module, when an anomaly is detected, then the alert analyzer must trigger and display the alert within the integrated system without user intervention.

User Acknowledgement Logging

Given a real-time alert notification has been received, when the manager acknowledges or dismisses the alert, then the action and timestamp must be logged in the system for audit purposes.

Analytical Insights Dashboard

"As a retail manager, I want to be able to view a detailed analytics dashboard that shows inventory trends and alert histories so that I can make informed restocking decisions and identify potential issues before they escalate."

Description

This requirement focuses on developing a comprehensive analytical dashboard that consolidates critical metrics, alert history, and inventory performance data. It visually presents the information in an easy-to-understand format and integrates with alert notifications to provide contextual insights and trend analysis, aiding users in making data-driven decisions for inventory management.

Acceptance Criteria

Comprehensive Metrics Overview

Given a retail manager accesses the Analytical Insights Dashboard, when the dashboard loads, then it must display key metrics including stock levels, sales trends, alert history, and predictive restocking insights in real-time.

Alert Integration with Contextual Analysis

Given an inventory anomaly alert is triggered, when the user reviews the alert details, then the dashboard should present contextual insights and actionable recommendations based on historical data and current trends.

Historical Alert Trend Analysis

Given a user selects the 'Alert History' view, when historical alerts are requested, then the dashboard must display a chronological timeline with statistical analysis of past alerts and corrective actions.

User Customization of Dashboard Metrics

Given a user with customization privileges accesses the dashboard settings, when they toggle metric visibility, then the dashboard should update immediately to reflect the selected metrics without errors.

Seamless Data Integration

Given that new sales and inventory data is received, when the backend processes this data, then the Analytical Insights Dashboard must refresh automatically to include the latest updated metrics without manual intervention.

Actionable Recommendations Engine

"As a retail manager, I want the system to offer clear, actionable recommendations when inventory issues are detected so that I can promptly adjust stocks and avoid the pitfalls of overstocking or unexpected shortages."

Description

This requirement involves building an engine that processes inventory anomaly data and provides actionable recommendations for corrective measures. By leveraging historical data and AI-driven insights, the engine analyzes inventory trends and suggests specific restocking strategies, ensuring that the system not only alerts users of anomalies but also guides them with clear, proactive solutions to prevent costly stock discrepancies.

Acceptance Criteria

Real-Time Alert Analysis

Given an inventory anomaly is detected, when the Actionable Recommendations Engine processes the data, then it should generate specific, ranked recommendations for corrective measures based on AI-driven insights and historical trends.

Historical Data Trend Incorporation

Given that historical inventory data is available, when the engine analyzes current inventory discrepancies, then it must incorporate past trends and seasonal variations to suggest proactive restocking strategies.

User Notification of Recommendations

Given that actionable recommendations have been generated, when the system dispatches alerts to users, then the notification must clearly present step-by-step actionable suggestions alongside quantitative justification for each recommendation.

Trend Snapshot

Generate concise summaries of inventory performance over various time frames, such as daily, weekly, and monthly trends. Trend Snapshot provides a quick, comprehensive overview of how inventory is shifting, facilitating faster strategic decision making and effective stock repositioning.

Requirements

Dynamic Date Range Selection

Given a high number of transactions within a short period, when the synchronization process runs, then the Trend Snapshot must accurately capture all data without lag or loss, ensuring update integrity.

Error Handling and Recovery

Given a data sync failure or partial data error, when an inconsistency is detected, then the system must trigger an alert and automatically retry synchronization to eventually display correct trend data.

User-Initiated Refresh

Given a user manually triggers a snapshot refresh, when the refresh command is executed, then the Trend Snapshot should immediately update to show the most current inventory and sales data.

Export Trend Snapshots

"As a business owner, I want to export my inventory trend snapshots so that I can share detailed reports with my team and analyze them offline for strategic planning."

Description

This requirement provides functionality for exporting trend snapshot reports into various formats such as PDF and CSV. It is designed to facilitate sharing and offline analysis of inventory trends. By allowing managers to generate portable reports, the feature supports further detailed analysis and record keeping for strategic reviews.

Acceptance Criteria

Export Trend Snapshot - PDF

Given an inventory manager on the Trend Snapshot view, when the 'Export' button is clicked and the PDF option is selected, then a PDF document containing the current trend snapshot report is generated and available for download.

Export Trend Snapshot - CSV

Given an inventory manager on the Trend Snapshot view, when the 'Export' button is clicked and the CSV option is selected, then a CSV file containing the current trend snapshot details is generated and available for download.

Custom Date Range Export

Given an inventory manager needing a specific timeframe, when the user selects a custom date range and initiates export, then the generated report includes only the data within the selected timeframe.

Report Format Consistency

Given an inventory manager reviewing the exported file, when the export is completed, then the formatting, layout, and data structure of the report adhere strictly to the defined specifications without any discrepancies.

Export Failure Handling

Given a scenario where network or server errors occur during export, when an error is detected, then the system displays a clear error message to the user and logs the incident for further analysis.

HeatMap Radar

An interactive heat map that visualizes inventory movement across all store locations with dynamic color gradients. HeatMap Radar instantly highlights areas where stock is moving quickly or sluggishly, enabling retailers to pinpoint hot zones and cold spots for smarter inventory balancing and timely restocking.

Requirements

Real-Time Inventory Sync

Overlays live inventory data onto the heat map to display current movement trends. This feature allows users to monitor inventory flow in real-time, facilitating immediate decision-making to capitalize on fast-moving items or address slow-moving stock issues.

Requirements

Live Heat Map Display

"As a store manager, I want to view a dynamically updated heat map of inventory levels so that I can quickly identify fast-moving and slow-moving items and adjust stock accordingly."

Description

Provide a real-time overlay that synchronizes with inventory data to populate a dynamic heat map. This overlay will highlight inventory movement using color coding to signify high and low stock turnover, ensuring that store managers can identify trends instantly and make informed decisions regarding restocking and promotions.

Acceptance Criteria

Real-Time Data Synchronization

Given the system is connected to the inventory database, when real-time updates occur, then the live heat map must refresh automatically within 2 seconds.

Accurate Heat Map Visualization

Given that updated inventory levels are available, when the heat map is rendered, then it must correctly apply color-coding to zones based on high and low turnover thresholds.

User Interaction for Trend Analysis

Given that a store manager interacts with the overlay, when hovering over a specific zone, then detailed information such as stock levels and turnover rates should be displayed instantly.

System Performance Under Peak Load

Given a high volume of incoming real-time data, when the system is under peak load, then the heat map must maintain its refresh rate and respond within 2 seconds consistently.

Trend Analysis Integration

"As a store manager, I want predictive trend analytics integrated into the live overlay so that I can anticipate demand shifts and plan restocking more effectively, reducing stockouts."

Description

Integrate trend analytics into the real-time overlay to provide predictive insights based on historical and current inventory movement. This feature will leverage AI-driven analysis to highlight emerging trends, enabling proactive adjustments in stock levels and ensuring optimal inventory management.

Acceptance Criteria

Live Trend Overlay Visualization

Given the real-time overlay is active, when the system integrates trend analytics, then live trend indicators are accurately overlaid combining historical and current inventory movement data.

Predictive Trend Alert Generation

Given available historical and current inventory data, when the AI performs trend analysis, then the system generates predictive alerts highlighting emerging inventory trends.

Interactive Trend Filtering

Given that the trend analytics overlay is visible, when a user applies specific filters such as time frame or inventory category, then the overlay updates to display accurate, filtered trend data.

Seamless Overlay Integration

Given simultaneous sales and inventory data feeds, when trend analysis integration is enabled, then the real-time overlay synchronizes seamlessly with predictive trends without data discrepancies.

Performance and Latency Compliance

Given the system under peak load, when trend analytics are processed, then the real-time overlay must meet defined performance benchmarks with minimal latency.

Customizable Overlay Settings

"As a store manager, I want to customize the overlay settings so that the visualized data meets my specific reporting and monitoring needs, enhancing clarity and decision-making."

Description

Develop a settings panel that allows users to customize the displayed inventory data, such as adjusting heat map ranges, selecting specific time intervals, and choosing various visualization schemes. This customization ensures that the overlay can be tailored to meet the unique operational needs of each retail environment.

Acceptance Criteria

Customizable Heat Map Range

Given a retail manager accessing the settings panel, when the user adjusts the heat map range slider, then the overlay immediately updates to reflect the selected range.

Time Interval Customization

Given a manager selecting a specific time interval in the customization settings, when the user confirms their selection, then only the data for that interval is displayed on the overlay.

Visualization Scheme Selection

Given a retailer using the settings panel, when the user selects a different visualization scheme from the dropdown, then the overlay updates with the chosen scheme within 2 seconds.

Real-Time Data Synchronization

Given a retailer updating multiple settings simultaneously, when the user saves the settings, then all changes are applied in real-time without delay and confirmed by a success message.

Error Handling for Invalid Input

Given an invalid customization attempt (e.g. out-of-range heat map value), when the user submits the input, then an error message is displayed informing the user of the constraint violation.

Real-Time Alerts Integration

"As a store manager, I want to receive real-time alerts integrated with the overlay so that I can immediately act on significant changes in inventory flow, ensuring timely interventions."

Description

Introduce real-time alerts within the overlay feature to notify users when critical thresholds are breached or unexpected inventory movement is detected. These alerts will help managers address issues promptly, minimizing risks of stockouts or overstocking and improving overall operational responsiveness.

Acceptance Criteria

Inventory Movement Alert

Given the live heat map overlay is active, when the system detects a sudden surge or drop in inventory movement beyond the normal variance, then a real-time alert is triggered with specific item details and suggested actions.

Critical Threshold Alert

Given the overlay displays inventory levels for each item, when the stock for a high-demand product drops below 20% of the predefined threshold, then an alert is generated notifying the user with relevant comparison metrics.

Critical Overstock Alert

Given the live inventory data presented on the heat map, when the available stock exceeds the overstock limit for any product, then a real-time alert is shown detailing the excess quantity and potential risks.

User-Configured Alert Settings Integration

Given user access to alert configuration, when the user customizes threshold levels and alert parameters, then the system applies the settings immediately and new alerts adhere to these configurations.

Alert Acknowledgment and History Logging

Given a real-time alert is displayed, when the user acknowledges the alert by clicking a confirmation button, then the system logs the alert with a timestamp and stores the user response for future reference.

Historical Trend Mapper

Integrates past inventory performance data with current heat map visuals to reveal long-term movement patterns. This blend of historical and real-time insights enables retailers to forecast demand, adjust replenishment strategies, and optimize stock levels with greater accuracy.

Requirements

Data Integration Module

"As a retail manager, I want historical and real-time data to be seamlessly integrated so that I can reliably analyze patterns and optimize my inventory management."

Description

Develop a robust module that securely ingests historical inventory and sales data alongside real-time stock information to feed into the Historical Trend Mapper, ensuring accurate and comprehensive data synchronization for trend analysis.

Acceptance Criteria

Secure Data Ingestion

Given valid historical data sources and real-time feed endpoints, when the module ingests data, then the data should be securely transferred and stored using industry-standard encryption.

Real-Time Data Sync Consistency

Given that the initial data load is complete, when new real-time stock updates are received, then the module shall synchronize data within a defined time frame and update the Historical Trend Mapper accordingly.

Historical Data Aggregation Accuracy

Given the ingestion of historical inventory and sales data, when aggregating data for trend analysis, then the aggregated results must match source records with at least 99% accuracy.

Error Handling and Logging

Given potential data inconsistencies or network failures, when errors occur during the data ingestion process, then the module should log detailed error messages and trigger an alert for manual review.

Scalability Under Load

Given increased data volume during peak operational periods, when processing high-frequency updates, then the module should maintain performance benchmarks with minimal latency and no data loss.

Visual Analytics Dashboard

"As a retail manager, I want a visually engaging dashboard that combines historical data with real-time updates so that I can quickly identify key trends and adjust my strategy accordingly."

Description

Create an intuitive interactive dashboard that overlays historical trends on dynamic heatmap visuals, enabling users to easily visualize seasonal patterns and inventory performance anomalies to drive informed decisions.

Acceptance Criteria

Dashboard Load Performance

Given the user opens the Visual Analytics Dashboard, when the data is loaded, then the dashboard must display historical trends overlaid on heatmap visuals within 2 seconds.

Interactive Filtering Experience

Given a user selects a specific time range, when the filter is applied, then the dashboard should update the heatmap and historical trend data to reflect the filtered timeframe accurately.

Responsive UI Behavior

Given the dashboard is displayed on various device screens, when the user interacts with visual elements (e.g., zoom, pan), then the layout should adjust responsively without loss of functionality.

Data Accuracy Validation

Given the dashboard receives input from the underlying inventory management system, when displaying historical trends, then the visualized data must match source records with less than 1% discrepancy.

User Interaction with Tooltips

Given a user hovers over a heatmap segment, when the tooltip is triggered, then the tooltip should display detailed historical trend information and inventory metrics accurately.

Trend Forecasting Engine

"As a retail manager, I want the system to predict future inventory trends based on past and present data so that I can manage stock levels effectively and avoid stockouts."

Description

Implement a predictive analytics engine that leverages both historical and current visual data to forecast future inventory needs, facilitating proactive restocking and improved demand planning.

Acceptance Criteria

Real-time Data Integration

Given that sales transactions and live inventory updates are being received, When the Trend Forecasting Engine processes the data, Then it should update forecasts within 5 seconds of data ingestion.

Predictive Analysis Accuracy

Given the availability of both historical trends and current inventory metrics, When the forecasting engine computes demand predictions, Then the accuracy of the predictions must be at least 85% compared against a defined benchmark over a testing period.

Historical Trend Utilization

Given that historical inventory performance data is integrated, When the engine performs trend analysis, Then it should automatically identify seasonal patterns and long-term shifts without manual intervention.

Proactive Restocking Recommendation

Given the observation of potential inventory shortages and surpluses, When the system identifies a gap in stock levels, Then it should generate proactive restocking recommendations aimed at reducing stockouts by at least 50%.

User Interaction and Feedback

Given that end users provide feedback through an interactive interface, When modifications to forecast parameters are submitted, Then the engine should adjust its prediction model within the subsequent analysis cycle based on the input received.

Alert Visualizer

Automatically flags and visually highlights critical inventory fluctuations on the heat map. This feature provides immediate, color-coded alerts when stocks are depleting too rapidly or stagnating, ensuring proactive management and minimized stockouts or overstock scenarios.

Requirements

Dynamic Heat Map Update

Consolidates inventory data from multiple locations into one cohesive heat map view. This feature empowers retailers to quickly compare performance across stores, balance stock distribution effectively, and streamline overall inventory management across the retail network.

Requirements

Heat Map Visualization

"As a retail manager, I want an interactive heat map that visually represents multi-store inventory performance so that I can quickly identify imbalances and optimize stock distribution."

Description

This requirement involves creating an interactive heat map that consolidates inventory data from multiple store locations into a single visual display with color-coded indicators signifying performance levels. The visualization provides real-time updates, enabling retailers to quickly assess comparative performance and identify areas requiring stock redistribution. It integrates seamlessly with the SupplySync back-end and analytics engine to offer actionable insights that drive effective and data-driven decision-making.

Acceptance Criteria

Initial Data Loading

Given the SupplySync backend is connected, when multi-store data is fetched, then the heat map displays initial real-time inventory data for all stores with accurate color-coded performance indicators.

Interactive Map Navigation

Given a user selects a region on the heat map, when the user clicks on a specific area, then the heat map zooms into a detailed view showing store-level inventory details with corresponding performance color coding.

This requirement provides users with the ability to customize the heat map interface to suit their specific preferences. It includes adjustable color schemes, configurable data thresholds, and personalized dashboard layouts. These customization options aim to enhance user engagement and create a tailored experience that supports various operational strategies.

Acceptance Criteria

Custom Color Scheme Selection

Given the user is on the customization settings page, when they select a custom color scheme and apply the changes, then the heat map view updates to the selected color scheme immediately without errors.

Adjustable Data Threshold Configuration

Given the user is on the customization settings page, when they set new data thresholds for various data indicators and save the configuration, then the heat map reflects the new thresholds with appropriate visual distinctions.

Personalized Dashboard Layout Configuration

Given the user is on the customization settings page, when they rearrange dashboard components to create a personalized layout and save the changes, then the layout persists across sessions and is correctly rendered on all subsequent logins.

Product Details

Vision & Mission

Problem & Solution

Details & Audience

User Personas

Agile Alice

Background

Needs & Pain Points

Needs

Pain Points

Psychographics

Channels

Analytical Alan

Background

Needs & Pain Points

Needs

Pain Points

Psychographics

Channels

Streamlined Sarah

Background

Needs & Pain Points

Needs

Pain Points

Psychographics

Channels

Predictive Pete

Background

Needs & Pain Points

Needs

Pain Points

Psychographics

Channels

Product Features

Instant Notifier

Requirements

Threshold-Based Notification Engine

Description

Acceptance Criteria

Customizable Notification Settings

Description

Acceptance Criteria

Historical Alert Audit and Reporting

Description

Acceptance Criteria

Custom Alert Scheduler

Requirements

Customizable Alert Thresholds

Description

Acceptance Criteria

Scheduled Alert Delivery

Description

Acceptance Criteria

Alert Notification Management

Description

Acceptance Criteria

Smart Alert Prioritization

Requirements

Critical Alert Flagging

Description

Acceptance Criteria

Dynamic Alert Ranking Algorithm

Description

Acceptance Criteria

User Customization of Alert Settings

Description

Acceptance Criteria

Alert History Log

Requirements

Alert Filtering

Description

Acceptance Criteria

Export Alert Logs

Description

Acceptance Criteria

Detailed Alert View

Description

Acceptance Criteria

Real-Time Alert Synchronization