Purchase Tracking System Aggregating Itemized Data
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Solution Overview
Problem
Consumers face difficulties in tracking and consolidating their purchases across multiple merchants, as existing systems primarily focus on individual merchant records rather than providing a comprehensive, item-level overview of transactions.
Innovation Solution
A method and system that utilize a unique consumer identifier to aggregate itemized data from multiple merchant systems, categorizing transactions at an item level and allowing consumers to access their purchase history through a centralized tracking system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If consumers collect paper receipts manually to track purchases, then they can maintain a record of transactions, but the process becomes time-consuming and difficult to consolidate across multiple merchants
Solution Approach 1:
The patent introduces a centralized purchase tracking system that acts as an intermediary between multiple merchant systems and the consumer. This system automatically collects, aggregates, and categorizes itemized data from various merchants using a unique consumer identifier, eliminating the need for manual receipt collection and consolidation while providing comprehensive purchase history tracking
Solution Approach 2:
The patent replaces the manual mechanical process of collecting and organizing paper receipts with an automated electronic system. The tracking system automatically retrieves itemized data from merchant systems, processes it through categorization algorithms, and presents consolidated purchase information, substituting manual labor with automated computational processes
2Reliability
If merchants track transactions separately for their own use, then each merchant maintains accurate records, but consumers cannot access a comprehensive view of their purchases across multiple merchants
Solution Approach 1:
The patent merges separate merchant transaction records into a unified consumer-centric view. The tracking system aggregates itemized data from multiple independent merchant systems, combining them into a single consolidated database accessible to the consumer, thereby preserving the reliability of individual merchant records while providing comprehensive purchase information
Solution Approach 2:
The tracking system serves multiple functions: it maintains individual merchant transaction integrity, aggregates data across merchants, categorizes purchases by type, and provides consumers with a universal view of their spending. This multi-functional system resolves the conflict between merchant-specific record-keeping and consumer-wide purchase tracking
3Loss of information
If a centralized system aggregates itemized data from multiple merchants, then consumers gain comprehensive purchase tracking, but the system complexity increases
Solution Approach 1:
The patent segments the complex data aggregation task into manageable components: a unique identifier system for consumer identification, standardized itemized data structures from merchants, automated categorization by purchase type, and hierarchical data organization. This segmentation reduces system complexity by breaking down the aggregation process into modular, standardized operations
Data Source
AI summary
In general, the invention relates to a method of tracking purchases for a consumer using a unique identifier associated with the consumer. The method includes receiving first itemized data and the unique identifier from a first merchant system of a first merchant, where the first itemized data includes each item purchased in a first transaction associated with the consumer. The method further includes receiving second itemized data and the unique identifier from a second merchant system of a second merchant, where the second itemized data includes each item purchased in a second transaction associated with the consumer. The method further includes storing the first itemized data and the second itemized data based on the unique identifier to obtain aggregated itemized data, where the aggregated itemized data is categorized at an item level.