Offer Listing Metrics via Reconciliation Algorithm
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Solution Overview
Problem
Existing online systems for listing items for sale at multiple in-store locations often inaccurately reflect the quantity of items due to different naming conventions and lack of real-time data synchronization across locations.
Innovation Solution
Implementing a system that uses a reconciliation algorithm to normalize product codes into a global trade item number (GTIN) and generate offer listing metrics by aggregating data from multiple store sources, ensuring accurate and real-time representation of item availability across multiple storefronts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the same item is listed at multiple in-store geographic locations, then the item can be sold at different locations, but the quantity listed online becomes inaccurate due to lack of real-time data synchronization
Solution Approach 1:
The system implements real-time feedback loops where point-of-sale transactions at any store location immediately update the centralized inventory database, which then automatically synchronizes with online listings. This ensures that when an item is sold at one location, the online quantity reflects this change instantly, resolving the accuracy issue while maintaining multi-location sales capability
Solution Approach 2:
The patent creates a universal inventory management system that serves multiple functions: it tracks stock across all physical store locations, generates accurate online listings, and provides real-time synchronization. This single system handles both the multi-location sales requirement and the accuracy requirement simultaneously, eliminating the need for separate systems
2Adaptability or versatility
If different naming conventions are used across store locations, then each location can use its preferred format, but product code normalization becomes difficult
Solution Approach 1:
The system introduces a centralized product master database as an intermediary layer between various store location systems. This master database maintains a standardized product catalog with unique identifiers that map to products across all locations regardless of their local naming conventions. When a product is referenced at any store, the system translates local conventions to the standardized format through this intermediary, simplifying normalization while preserving flexibility
Solution Approach 2:
The patent implements dynamic parameter transformation where product identifiers are converted between different formats based on the source system. The system automatically detects the naming convention being used and transforms it to the standardized format required for centralized tracking, allowing each location to maintain its preferred format while ensuring uniform processing
3Measurement precision
If real-time data synchronization is implemented across multiple locations, then item availability is accurately reflected, but system complexity and data processing requirements increase
Solution Approach 1:
The patent consolidates inventory data from all store locations into a single centralized database, merging previously distributed and independent inventory systems. This unified approach eliminates the need for complex peer-to-peer synchronization protocols between multiple locations, as all data flows through and is managed by the central system, reducing overall system complexity while maintaining real-time accuracy
Solution Approach 2:
The system implements automated feedback mechanisms where point-of-sale transactions, inventory adjustments, and stock movements at any location immediately trigger updates to the centralized database and subsequent online listings. This automated feedback loop eliminates manual intervention and complex coordination, achieving real-time synchronization through streamlined event-driven architecture
Data Source
AI summary
A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: generating, using one or more store signals, a lifecycle metric for each respective item sold in a respective storefront of multiple storefronts, wherein the multiple storefronts are located in one or more geographic locations, and wherein each respective item is concurrently listed online via a website; determining offer listing data for the respective item; generating an offer listing metric by reconciling, using a reconciliation algorithm, the offer listing data for the respective item with an offer store data; and transmitting the offer listing metric to user interfaces, wherein the offer listing metric indicates that the respective item is available for sale at the respective storefront. Other embodiments are disclosed.