Categorization Engine for Filtered Electronic Transactions
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Solution Overview
Problem
Conventional electronic transaction systems lack the ability to conveniently track, analyze, and categorize preapproved product items associated with prepaid benefits programs, hindering the encouragement of specific spending behaviors.
Innovation Solution
A filtered transaction processing system that utilizes a categorization engine to categorize transaction items based on approved product lists, determining eligibility for filtered spending and executing transactions accordingly, using enhanced data when available and non-enhanced data when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional electronic payment systems are used, then transaction processing is simple and fast, but the ability to track, analyze, and categorize preapproved product items is lacking
Solution Approach 1:
A categorization engine is introduced as an intermediary component between the transaction processing system and the prepaid benefits program. This engine receives transaction data, categorizes items into predefined categories (such as healthy foods, medications, etc.), and provides structured information back to the system, enabling tracking and analysis without fundamentally redesigning the entire payment infrastructure
Solution Approach 2:
The transaction processing system is segmented into distinct functional modules: the acquirer system that receives transactions, the categorization engine that processes and categorizes items, and the execution system that applies spending rules. This segmentation allows each component to specialize in specific tasks, improving categorization capability while maintaining overall system manageability
2Measurement precision
If enhanced data is used for categorization, then categorization accuracy is improved, but data processing requirements increase
Solution Approach 1:
The system implements a flexible data processing approach where enhanced data (detailed item information) is processed only when available and when necessary for accurate categorization. When enhanced data is not available, the system gracefully falls back to processing non-enhanced data with reduced detail, maintaining functionality while optimizing processing resources based on actual data availability
Data Source
AI summary
Systems and methods for executing filtered electronic transactions are disclosed. One method includes receiving, by an acquirer system of a filtered transaction processing system, a transaction request including transaction data from a merchant system, the transaction data including enhanced data or non-enhanced data. A status of the merchant system may be determined based on the transaction data, the status of the merchant system indicative of a participating status or a non-participating status. Upon determining the status of the merchant system indicative of the participating status, the transaction request may be transmitted to a first transaction network. The first transaction network may forward the transaction request to a categorization engine of the filtered transaction processing system. The categorization engine may categorize one or more items associated with the transaction request into one or more categories. The transaction request may be executed based on the one or more categories.