Merchant Category Code Shift Detection System

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Solution Overview

Problem

The existing systems for processing transaction card payments lack an effective method to detect merchant category code (MCC) shift behavior, leading to potential revenue loss for payment processing companies, incorrect classification of merchants, and unfair competitive advantages, while also failing to accurately track consumer purchases and comply with tax and regulatory requirements.

Innovation Solution

A method is developed to identify target merchants operating in specific industries, calculate merchant consistency ratios and industry ratios using peer transaction data, and compare these ratios to threshold values to detect MCC shift behavior, thereby sending alerts for potential MCC changes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If merchants change or shift their MCC to take advantage of lower interchange rates, then interchange fee revenue for payment networks is reduced, but merchants pay lower processing fees

Engineering Contradiction:

Improveinterchange fee revenue lossVSAvoidmerchant MCC classification flexibility

Core Design Contradiction:

Loss of energyVSAdaptability or versatility

Solution Approach 1:

The system continuously monitors transaction data and compares current MCC classifications against historical patterns and peer merchant behavior. When a merchant's transaction profile indicates MCC shift behavior (such as sudden changes in transaction categories without corresponding business changes), the system generates feedback signals to alert payment network operators, enabling real-time detection and response to improper MCC shifting

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent replaces manual MCC verification processes with automated data analytics and machine learning models that process transaction patterns, merchant profiles, and industry benchmarks to detect MCC shift behavior, substituting mechanical manual review with intelligent automated detection systems

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Loss of energy

If acquirers incorrectly identify merchants to offer lower rates, then acquirer competitive advantage increases, but payment network revenue integrity is compromised

Engineering Contradiction:

Improvepayment network revenue integrityVSAvoidacquirer merchant classification ease

Core Design Contradiction:

Loss of energyVSEase of operation

Solution Approach 1:

The system introduces an intermediary verification layer between acquirers and payment networks, using third-party data analytics and peer comparison mechanisms to validate MCC classifications. This intermediary layer compares merchant transaction patterns against industry benchmarks and peer merchant behavior to detect incorrect or manipulated classifications before they affect revenue distribution

Inventive Principle:

Principle #24Intermediary (Mediator)

3Loss of energy

If MCC shift behavior goes undetected, then merchant operational simplicity is maintained, but payment network revenue loss occurs

Engineering Contradiction:

Improveinterchange fee revenueVSAvoidMCC monitoring system complexity

Core Design Contradiction:

Loss of energyVSDevice complexity

Solution Approach 1:

The monitoring system segments analysis at multiple levels: individual transaction level, merchant account level, and industry sector level. By analyzing transaction data in segmented portions across different categories and comparing them against peer benchmarks, the system detects MCC shift behavior patterns without requiring complete system-wide analysis, reducing computational complexity while maintaining detection accuracy

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system uses merchants' own transaction data and peer merchant comparisons to automatically detect their own MCC shift behavior. Merchants provide transaction data that the system analyzes against their historical patterns and industry peers, allowing self-detection without requiring external manual investigation or complex external monitoring infrastructure

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS11334895B2Methods, systems, and apparatuses for detecting merchant category code shift behavior

Publication Date: 2022.05.17 VISA INTERNATIONAL SERVICE ASSOCIATION

AI summary

A method for detecting merchant category code (MCC) shift behavior is disclosed. A target merchant operating in one or more industries is identified, and a peer set of merchants that operate in the same industries as the target merchant is determined. A first dataset D1 and a second dataset D2 is received. One or more merchant consistency ratios using the first dataset D1 and the second dataset D2 is calculated. An industry ratio for each of the industries and a MCC ratio for the one or more merchants is calculated using the second dataset D2. Whether the target merchant exhibits MCC shift behavior is determined by comparing the merchant consistency ratios to a first threshold, comparing each industry ratio to a second threshold, and comparing the MCC ratio to a third threshold. In response to a determination that the target merchant exhibits MCC shift behavior, an alert is communicated.