Electronic Payment Authorization Threshold Optimization
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Solution Overview
Problem
Existing electronic payment transaction authorization systems face challenges in achieving reliable decision-making, leading to increased signal traffic and data processing loads due to erroneous approvals and reversals, which strain computing and network resources.
Innovation Solution
A transaction authorization system and method that utilize an authorization engine, database system, and evaluation engine to apply if-then clause type checking rules, determining attribute threshold values through a double evaluation process of past transaction records to enhance decision reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authorization analysis methods are used, then the authorization process is simple and fast, but the decision reliability is low leading to erroneous approvals and reversals
Solution Approach 1:
The system performs preliminary evaluation of transaction records before authorization decisions are made. The evaluation engine analyzes past transaction patterns and characteristics in advance to establish baseline criteria, which are then used by the authorization engine to make more reliable real-time decisions without adding complexity to the core authorization flow.
Solution Approach 2:
The system implements feedback mechanisms where authorization decisions and transaction outcomes are fed back into the evaluation engine. This feedback loop allows the system to continuously learn from actual transaction results and refine its evaluation models, improving decision reliability over time while maintaining operational simplicity.
2Reliability
If more thorough analysis is performed to improve decision reliability, then erroneous decisions decrease, but signal traffic and data processing load increase
Solution Approach 1:
The system extracts and analyzes only the most relevant transaction characteristics and patterns from the vast amount of historical data. By identifying and focusing on key evaluation criteria rather than processing all transaction details, the system achieves reliable decisions with minimal data processing overhead and reduced signal traffic.
Solution Approach 2:
The system applies partial analysis by evaluating only the necessary transaction attributes and patterns relevant to each specific authorization decision. Rather than performing complete thorough analysis of all transaction aspects, the system selectively processes only the critical characteristics needed for reliable authorization, optimizing the balance between reliability and resource consumption.
3Measurement precision
If attribute threshold values are manually set, then the system is easier to operate, but the accuracy of authorization decisions deteriorates
Solution Approach 1:
The evaluation engine automatically determines and optimizes attribute threshold values by analyzing transaction record patterns and characteristics. The system performs self-adjustment of authorization criteria based on actual transaction data, eliminating the need for manual configuration while achieving high decision accuracy through data-driven threshold optimization.
Solution Approach 2:
The system dynamically adjusts attribute threshold values based on changing transaction patterns and characteristics. Rather than using fixed manually-set thresholds, the system adapts its evaluation parameters automatically, improving decision accuracy over time while maintaining ease of operation through automated parameter optimization.
Data Source
AI summary
A transaction authorization system comprises an authorization engine (22) configured to perform an analysis in relation to a received request for authorization of an electronic payment transaction and determine an authorization output based on the analysis, wherein the analysis includes application of one or more checking rules of the if-then clause type comparing one or more transaction-related attributes to one or more predefined attribute threshold values. The system further includes a database system (24) storing transaction records for a plurality of past electronic payment transactions, an evaluation engine (28) configured to access the database system (24) and evaluate a first set of stored transaction records to determine one or more characteristic values related to the first set, and a setting engine (26) configured to access the database system (24) and select a second set of stored transaction records in accordance with at least one of the one or more characteristic values, wherein the setting engine (26) is further configured to evaluate the selected second set of transaction records and set at least one attribute threshold value in at least one checking rule based on the evaluation of the second set of transaction records.