Real-Time Transaction Value Weighting for Merchant-Aware Fraud Detection
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Solution Overview
Problem
Existing systems fail to consider the preferences and interests of merchants or other parties in evaluating fraud risk during electronic transactions, leading to inefficient and potentially unnecessary declines of transactions.
Innovation Solution
A system that calculates transaction margins using inventory information provided by merchants, which is used to determine a fraud risk value and compare it against thresholds to authorize, decline, or escalate transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing automated systems evaluate fraud risk by monitoring cardholder activities and flagging potentially fraudulent transactions, then fraud risk detection is improved, but transaction processing efficiency deteriorates due to unnecessary declines
Solution Approach 1:
The system changes the parameters used in fraud evaluation by incorporating transaction value and merchant-specific factors into the risk assessment model. This allows the system to differentiate between high-risk and low-risk transactions more accurately, reducing false positives while maintaining fraud detection effectiveness.
Solution Approach 2:
The system performs preliminary risk assessment by evaluating transaction characteristics and merchant preferences before final authorization decisions. This preliminary action allows merchants to pre-configure their risk tolerance and transaction preferences, streamlining the authorization process for legitimate transactions while maintaining security.
2Reliability
If existing systems decline transactions based on perceived fraud risk without considering merchant preferences, then fraud protection is improved, but merchant autonomy and satisfaction deteriorate
Solution Approach 1:
The system applies local quality by allowing each merchant to have customized fraud risk parameters and preferences specific to their business needs. Merchants can configure which transaction types, locations, or values they are willing to accept, creating a tailored fraud protection approach that respects merchant autonomy while maintaining security.
Solution Approach 2:
The system incorporates feedback mechanisms where merchants can review flagged transactions and provide input on whether they should be authorized or declined. This feedback loop allows merchants to maintain control over their transaction approvals while benefiting from the system's fraud detection capabilities.
3Reliability
If existing systems flag transactions for further scrutiny after purchase, then fraud detection capability is improved, but customer convenience and transaction completion rate deteriorate
Solution Approach 1:
The system performs fraud risk assessment in real-time at the point of sale before the transaction is completed. By conducting this preliminary evaluation and providing immediate results, the system avoids post-purchase scrutiny that would delay or complicate the transaction, thereby maintaining both fraud detection capability and customer convenience.
Data Source
AI summary
Systems and methods are disclosed for processing transactions. One method comprises operating a web server or an application server to generate a graphical user interface for enabling merchants to input inventory information; obtaining transaction information from a merchant over an electronic network; calculating a margin associated with the purchase transaction using the information; using the margin to calculate a first fraud risk value associated with the transaction; comparing the first fraud risk value to a first threshold value; and transmitting a message to the merchant authorizing, declining, or escalating the transaction.