Merchant Profile Identification from Check Transaction Data
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Solution Overview
Problem
Current systems lack the capability to effectively capture and analyze data from check transactions to identify merchants, which hinders the creation or enhancement of merchant profiles, unlike existing services for payment card transactions.
Innovation Solution
A computer-implemented method and system that receives payment transactions with fields like payee, address, and memo, generates unique merchant profiles, determines connections between them, and stores these profiles to create a database for analysis and fraud detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If check transaction data is captured and analyzed to identify merchants, then merchant profile creation and fraud analysis capability are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent introduces an Automated Clearing House (ACH) as an intermediary component that mediates between check processing systems and payment card processing networks. The ACH captures check transaction data, extracts merchant information, and transmits it to the payment card network, enabling merchant profile creation without requiring direct integration between check processing systems and fraud analysis systems. This intermediary approach improves fraud analysis capability while managing system complexity by modularizing the data flow.
2Loss of information
If merchant profiles are created from check transactions, then detailed merchant information is provided, but data processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary action by capturing and storing merchant information from check transactions at the time of transaction processing, rather than analyzing it later. The system extracts payee names, addresses, and other merchant details during the initial check processing phase and stores them in merchant profiles for future fraud analysis. This preliminary data capture reduces subsequent processing time while maintaining complete merchant information.
Solution Approach 2:
The patent uses copying by creating standardized merchant profile templates that replicate essential merchant information in a structured format. Instead of processing raw check data repeatedly, the system creates copyable merchant profiles containing payee names, addresses, and transaction patterns that can be efficiently stored and queried for fraud detection, reducing computational resources while maintaining information completeness.
3Reliability
If connections between merchant profiles are determined, then fraud pattern recognition is improved, but computational complexity and processing requirements increase
Solution Approach 1:
The patent applies segmentation by dividing the fraud detection process into distinct analytical components: individual merchant profile analysis, connection pattern recognition, and aggregate fraud detection. The system segments merchant data into manageable profiles with specific attributes (transaction frequency, amounts, locations) and analyzes connections between these segmented profiles using predefined relationship types. This segmentation reduces computational complexity by breaking down the complex fraud detection task into smaller, more manageable analytical steps.
Solution Approach 2:
The patent implements partial action by focusing computational resources on analyzing only the most significant connections between merchant profiles rather than examining all possible relationships. The system identifies and prioritizes connections based on predefined criteria such as transaction frequency, geographic proximity, and amount patterns, analyzing only those connections that exceed certain thresholds. This approach improves fraud detection accuracy for high-risk patterns while reducing overall computational complexity by avoiding exhaustive analysis of all merchant relationships.
Data Source
AI summary
A computer implemented method for creating merchant profiles based on check transactions is provided. The method uses a computing device having a processor communicatively coupled to a memory. The method includes receiving a plurality of payment transactions including payment by a check where each payment transaction includes plurality of fields from the associated check that include at least a payee field, an address field, and a memo field, generating a list of unique merchants based in part on the payee fields of the plurality of payment transactions, generating two or more merchant profiles, and determining one or more connections between two or more merchant profiles in the plurality of merchant profiles. Each connection represents a relationship or association between two or more merchant profiles. The method also includes storing the one or more connections and the two or more merchant profiles.