Inventory History Management via Nested Data Segmentation
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Solution Overview
Problem
Current inventory management systems lack the ability to perform centralized management of purchased, sold, and in-stock products, leading to difficulties in verifying the accuracy of inventory quantities and detecting errors, which requires manual confirmation and is time-consuming and costly as the number of products increases.
Innovation Solution
A history management apparatus that includes a first memory for storing information records associating quantities with unique numbers and a processor that updates flags in response to changes in inventory quantities, allowing for the tracking of inventory transactions and detecting discrepancies between historical and actual inventory quantities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If centralized management of purchased, sold, and in-stock products is implemented, then inventory accuracy verification capability is improved, but device complexity increases
Solution Approach 1:
The patent implements a nested information structure where second information records (detailed transaction data with unique second numbers) are contained within first information records (summary data with unique first numbers). This nesting allows the system to maintain both detailed tracking capability and simplified overview, resolving the contradiction by organizing complex data in a hierarchical manner that preserves accuracy verification while managing complexity through structured containment.
Solution Approach 2:
The patent segments inventory management information into two distinct levels: first information records containing summary data (unique first number, quantity, date) and second information records containing detailed transaction data (unique second number, unique first flag, transaction details). This segmentation allows the system to verify inventory accuracy at the detailed level while presenting simplified summary data, thus improving measurement precision without overwhelming device complexity.
2Reliability
If manual confirmation of inventory accuracy is performed, then reliability of inventory data is improved, but loss of time increases
Solution Approach 1:
The patent implements self-service inventory verification through automated comparison of first information records (current inventory status) with second information records (historical transaction data). The system automatically detects discrepancies by comparing quantities and updating unique first flags, eliminating the need for manual confirmation while maintaining data reliability. This automated self-verification process resolves the contradiction by providing reliable inventory data without time-consuming manual intervention.
Solution Approach 2:
The patent establishes a feedback mechanism where the processor continuously monitors inventory quantity changes, automatically compares current stock levels with historical records, and updates the unique first flag in second information records based on detected discrepancies. This automated feedback loop ensures inventory data reliability while eliminating manual confirmation time, as the system self-corrects and verifies data accuracy through programmed comparison and flag updating processes.
3Measurement precision
If detailed tracking of each product unit is implemented, then detection precision of discrepancies is improved, but device complexity increases
Solution Approach 1:
The patent segments tracking detail into two levels: first information records provide summary-level tracking with unique first numbers for quick overview, while second information records provide unit-level detailed tracking with unique second numbers for precise discrepancy detection. This segmentation allows the system to maintain high detection precision for individual product units while managing device complexity through hierarchical organization, where detailed tracking is only activated when needed for discrepancy analysis.
Solution Approach 2:
The patent nests detailed unit-level tracking data (second information records) within summary-level containers (first information records). Each first information record can contain multiple second information records, creating a nested structure that allows precise discrepancy detection at the unit level while presenting simplified summary data. This nesting resolves the contradiction by enabling detailed tracking precision only where necessary, rather than requiring all systems to handle full detail simultaneously.
Data Source
AI summary
A history management apparatus includes a first memory that stores an inventory transaction history information record associating the quantity of a management target with a unique group number, and a control unit that stores, in a second memory, an inventory transaction history detailed information record assigning a unique sequence number and a first flag indicating an existence of the management target to each preset quantity of the management target with respect to the quantity of the management target, stores, in response to a decrease in the quantity of the management target, the decreased quantity in association with a new group number in the first memory, and changes, to a second flag indicating an absence of the management target, each first flag included in inventory transaction history detailed information records which are stored in the second memory and the number of which is equal to the decreased quantity.