Transaction Scoring via Delivery Receipt Analysis
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Solution Overview
Problem
Current financial transaction systems face challenges in efficiently determining the legitimacy of transactions, often requiring cardholders to authenticate each transaction, which can be inconvenient and burdensome, while also being resource-intensive and prone to fraud.
Innovation Solution
A computing device processes financial transactions by analyzing a delivery receipt history to generate a confidence metric and transaction score, allowing for automated authorization of subsequent transactions based on prior user actions, reducing the need for frequent authentication and improving security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If authentication is required for each financial transaction, then security is improved, but user convenience and processing efficiency deteriorate
Solution Approach 1:
The system performs preliminary authentication by analyzing delivery receipt history and generating confidence metrics before the actual transaction occurs. This preliminary risk assessment allows legitimate transactions to be approved automatically without requiring cardholder authentication at the point of sale, while still maintaining security through pre-transaction verification of transaction patterns and delivery history.
Solution Approach 2:
The system enables self-service by allowing the transaction processing system to automatically authenticate transactions based on pre-established confidence metrics and delivery receipt data. The system serves itself by making authorization decisions without requiring manual intervention from cardholders or customer service representatives, thereby improving convenience while maintaining security through automated risk assessment.
2Reliability
If authentication is required for each financial transaction, then fraud protection is improved, but processor load and network bandwidth usage increase
Solution Approach 1:
The system applies partial authentication by selectively requiring authentication only for transactions that fall outside established confidence thresholds. For transactions within normal parameters and high confidence levels, the system performs only lightweight verification, reducing processor load and network bandwidth usage while maintaining fraud protection for suspicious transactions.
Solution Approach 2:
The system dynamically adjusts authentication requirements based on transaction parameters and confidence metrics. By changing the threshold parameters for authentication based on delivery receipt history and transaction patterns, the system reduces processor load for low-risk transactions while maintaining security, thereby optimizing energy usage and network bandwidth consumption.
3Measurement precision
If delivery receipt history is analyzed for each transaction, then transaction scoring accuracy is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary organization of delivery receipt data and pre-calculation of confidence metrics for cardholders before transactions occur. By pre-processing and storing relevant delivery history information in an accessible format, the system can quickly generate accurate transaction scores without complex real-time analysis, thereby improving scoring accuracy while managing system complexity through advance preparation.
Data Source
AI summary
Embodiments of the disclosure enable one or more financial transactions to be processed based on a transaction score generated based at least in part on a delivery receipt history. A financial transaction processing computing device receives a request for authorization for a present financial transaction associated with a cardholder account, identifies a reference delivery receipt corresponding to a prior financial transaction associated with the cardholder account, analyzes the reference delivery receipt to generate a confidence metric indicative of a confidence in a legitimacy of the prior financial transaction, and generates a transaction score for the present financial transaction that is indicative of an expected risk associated with approving the request for authorization. Aspects of the disclosure provide for authorizing one or more financial transactions based on an authentication of a recipient associated with a prior financial transaction.