Multi-Tiered Merchant Risk Identification System
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Solution Overview
Problem
Current methods for identifying merchant risk in credit card transactions are inefficient and inaccurate, leading to high false positives and a delayed detection of problematic merchants, which increases the risk of chargebacks and losses for transaction processors.
Innovation Solution
An automated, multi-tiered processing system that collects data elements for merchants, applies detection, trigger, and elimination rules to identify high-risk merchants, and uses external scoring and re-authorizations to refine the review process, reducing false positives and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional single-level merchant risk review methods are used, then the review process is simple, but the accuracy of risk identification is low and false positives are high
Solution Approach 1:
The patent divides the merchant risk review process into three distinct levels: Level 1 uses automated rule-based screening to identify potentially problematic merchants; Level 2 applies more sophisticated analysis including external data sources and behavioral patterns; Level 3 involves manual review by analysts for high-risk cases. This segmentation allows the system to achieve high accuracy by applying appropriate complexity only where needed, rather than using a single complex review process for all merchants.
2Measurement precision
If comprehensive data analysis is performed on all merchants, then risk identification accuracy improves, but processing time and resources increase significantly
Solution Approach 1:
The patent implements a tiered approach where Level 1 applies basic automated screening to all merchants (partial action), Level 2 applies comprehensive analysis only to merchants flagged by Level 1, and Level 3 applies manual review only to the smallest subset of high-risk merchants. This ensures that comprehensive data analysis is performed only on the necessary portion of merchants, maintaining high accuracy for risk identification while preserving processing efficiency for the majority of low-risk merchants.
3Speed
If manual review processes are used for merchant risk assessment, then flexibility and adaptability are high, but the detection speed is slow and delayed
Solution Approach 1:
The patent implements automated rule-based screening at Level 1 that continuously monitors merchant transactions and automatically flags suspicious patterns before they result in chargebacks. This preliminary automated detection significantly speeds up identification of problematic merchants compared to waiting for manual review. The system performs this preliminary action using pre-configured rules that can be quickly adjusted, maintaining flexibility while achieving rapid detection.
4Productivity
If automated rule-based screening is used, then processing speed increases, but false positives increase and accuracy decreases
Solution Approach 1:
The patent incorporates feedback mechanisms where results from Level 2 and Level 3 reviews are fed back to refine the automated rules at Level 1. When merchants are incorrectly flagged or missed by the automated system, these cases are reviewed manually and the lessons learned are used to adjust the automated rules. This continuous feedback loop allows the system to maintain high processing speed through automation while progressively improving accuracy by reducing false positives based on real-world performance data.
Data Source
AI summary
A method for identifying merchant risk includes collecting data elements for a plurality of merchants; automatically performing a first level process using the data elements so as to identify a first subset of merchants for review; automatically performing a second level process so as to collect additional information for the first subset of merchants; and automatically performing a third level process using the first subset of merchants and the additional information so as to identify a second subset of merchants requiring further review. A system for practicing the method is also disclosed.