Filtered Spend Data Processing for Purse Expiration and Merchant Matching
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Solution Overview
Problem
Current electronic transaction systems face challenges in tracking, categorizing, and accessing funds after expiration, managing purse priorities, and accurately matching merchant IDs, leading to false matches and misuse, especially in prepaid benefits programs.
Innovation Solution
Implementing a system with advanced data processing and verification capabilities to authenticate access devices, determine contextual data, and categorize items, including real-time or near real-time tracking, enhanced authentication, and improved merchant ID matching to manage purse priorities and prevent misuse.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional electronic transaction systems are used to track and categorize product items, then basic transaction processing is maintained, but the systems experience technical difficulties in allowing select users to access funds after purse expiration and suffer from false matches due to alphanumeric merchant ID numbers
Solution Approach 1:
The patent segments the merchant ID matching process into multiple components: traditional alphanumeric matching, normalized numeric matching, and machine learning-based verification. This segmentation allows the system to process transactions through multiple filtering stages, reducing false matches while maintaining processing capability for valid transactions.
Solution Approach 2:
The patent introduces normalized numeric representations as an intermediary layer between the original alphanumeric merchant IDs and the transaction processing system. This intermediary normalization process converts various alphanumeric formats into standardized numeric forms, enabling more accurate matching and reducing false positives while maintaining system reliability.
2Reliability
If purse expiration dates are strictly enforced, then system security and program rules are maintained, but select users cannot access funds after expiration and funds may be lost
Solution Approach 1:
The patent implements dynamic purse expiration management where the system can adaptively extend expiration dates for select users based on verified legitimate reasons such as fraud detection, chargebacks, or system errors. This dynamic approach maintains strict rule enforcement for general cases while providing flexible exceptions when warranted, balancing security with user accessibility.
Solution Approach 2:
The patent changes the temporal parameter of purse expiration by introducing extendable expiration dates. The system can modify the expiration parameter from a fixed date to a variable date based on user eligibility and verified circumstances, allowing funds to remain accessible beyond the original expiration while maintaining program integrity through controlled exceptions.
3Adaptability or versatility
If multiple purses are managed for benefit accounts, then diverse benefit categories are supported, but the order of use must be pre-defined which presents challenges in limiting access and preventing misuse
Solution Approach 1:
The patent establishes preliminary acceptable alternative priorities for purses at account creation or program setup, rather than requiring real-time decision-making. This preliminary configuration defines the default usage order and access hierarchy, reducing operational complexity during transaction processing while maintaining support for multiple benefit categories with predetermined access rules.
4Productivity
If traditional data processing methods are used, then basic transaction execution is achieved, but the systems are limited in capability to efficiently and accurately detect false matches and manage complex purse scenarios
Solution Approach 1:
The patent replaces traditional mechanical data processing methods with machine learning-based verification systems. The machine learning models analyze patterns in merchant ID data, transaction histories, and user behaviors to detect false matches with high accuracy while maintaining processing speeds suitable for real-time transaction execution, overcoming the limitations of rule-based systems.
Data Source
AI summary
Systems and methods are disclosed for data processing, data verification, and categorization of items. The method includes receiving a request from a first sub-system, wherein the request includes a plurality of data associated with an access device. Determining the first sub-system and/or the access device has the authorization to access a service. Determining contextual data of one or more purses associated with the access device and/or status of the first sub-system, wherein the contextual data includes an expiration date and/or rules associated with the one or more purses. Transmitting the request to a second sub-system based on the contextual data and/or the status of the first sub-system for categorizing one or more items associated with the request into one or more categories. Executing the request based on one or more categories.