Inventory Tracking Engine for Real-Time Supply Chain Visibility
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Solution Overview
Problem
Retail enterprises face challenges in accurately tracking inventory levels across multiple locations within a supply chain, particularly due to items in transit being credited to either source or destination locations at different times, leading to difficulties in determining current inventory levels.
Innovation Solution
An event-based system architecture that utilizes a computing system with a processor and memory to receive inventory events, transform them into separate transactions, analyze these transactions to determine unit movements, and record updated inventory counts in a database, providing near-real-time inventory information through an API.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If inventory events are tracked in real-time across multiple locations, then inventory accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments inventory tracking into discrete atomic events (receipts, issues, adjustments, transfers) that can be independently processed and tracked. Each event is broken down into specific transaction types that update inventory counts at particular locations, allowing complex inventory movements to be managed through simple, standardized event segments.
Solution Approach 2:
The patent introduces an intermediary event processing layer that sits between inventory occurrences and the final inventory counts. This layer standardizes diverse inventory events into a common format, processes them through consistent rules, and generates unified inventory updates, thereby simplifying the overall system architecture while maintaining high accuracy.
2Ease of operation
If items in transit are credited to source or destination locations, then inventory accounting is simplified, but real-time inventory visibility is reduced
Solution Approach 1:
The system performs preliminary actions by immediately recording inventory events as they occur, including transfer events for items in transit. Rather than waiting for items to reach their destination before accounting for them, the system proactively creates and processes transfer events that track items throughout their movement, maintaining continuous visibility while simplifying the accounting process.
3Quantity of substance
If inventory information is aggregated from store-level systems, then data completeness is improved, but response time is increased
Solution Approach 1:
The system maintains continuous inventory tracking by processing events as they occur rather than periodically aggregating data. The event-driven architecture ensures that inventory counts are continuously updated and available in real-time, eliminating the need for time-consuming aggregation cycles while maintaining complete data accuracy through ongoing event processing.
Data Source
AI summary
Methods and systems for optimizing item assortments are disclosed. One method includes receiving a request for an optimized assortment. Data relating to items within a selected initial item assortment and item universe is accessed. Constraints are applied to the items in the assortment to arrive at an optimized item assortment. Constraints include goals for optimization, lock in and lock out rules, and item attribute rules. The method may be performed by a system including one or more computing devices communicating via a network with one or more data storage devices.