Fraud Scoring Orchestration Platform
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Solution Overview
Problem
The financial transaction card industry faces challenges in combining multiple vendor fraud scoring products effectively, as existing systems lack the ability to easily integrate and orchestrate scoring across various products, limiting the provision of value-added services to customers.
Innovation Solution
A network-based system and method that receives financial transaction data from multiple input channels, converts it into a common format, scores it across multiple scoring engines, and transmits the scores in appropriate formats to recipients, enabling the integration of multiple vendor products and providing customizable fraud scoring solutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple vendor fraud scoring products are integrated into a single platform, then the versatility and value-added services provided to customers are improved, but the device complexity and integration difficulty increase
Solution Approach 1:
The system segments the fraud scoring functionality into independent, interchangeable vendor scoring product modules that can be individually selected and combined. Each vendor product operates as a separate component with standardized interfaces, allowing the platform to integrate multiple scoring products without creating monolithic complexity. This modular segmentation enables customers to choose specific vendor products based on their needs while maintaining system manageability.
Solution Approach 2:
The platform is designed as a universal orchestration system that can work with multiple different vendor scoring products through standardized interfaces and common data formats. The system provides multi-functional capabilities by supporting various input channels (online, offline, mobile), multiple vendor products, and multiple output formats within a single unified platform, thereby improving versatility without proportionally increasing complexity.
2Measurement precision
If the system processes transactions through multiple scoring engines, then the measurement precision and fraud detection accuracy are improved, but the processing time and productivity are reduced
Solution Approach 1:
The system performs preliminary actions by pre-configuring scoring rules, thresholds, and vendor product selections before transaction processing begins. Execution plans are prepared in advance that define which vendor scoring products should be applied to specific transaction types or risk profiles. This preliminary configuration allows the system to rapidly execute pre-determined scoring sequences during actual transaction processing, maintaining high accuracy while reducing real-time processing delays.
Solution Approach 2:
The system implements partial action by selectively applying only the necessary subset of vendor scoring products to each transaction based on predefined execution plans. Rather than running all available scoring engines on every transaction, the system intelligently determines which scoring products are needed for each specific case, thereby maintaining measurement precision where required while improving overall processing productivity by avoiding unnecessary scoring operations.
3Adaptability or versatility
If the system provides customizable fraud scoring models, then the adaptability to different customer needs is improved, but the ease of operation and configuration difficulty increase
Solution Approach 1:
The system provides dynamic configurability where customers can adjust fraud scoring parameters, select different vendor products, and modify execution plans without requiring system reconfiguration or technical expertise. The interface allows runtime adjustments to scoring thresholds, vendor product selections, and execution sequences, enabling customers to easily adapt the system to changing needs while maintaining operational simplicity through user-friendly configuration tools.
Data Source
AI summary
A method for enriching the data associated with financial transaction card transactions using a computer system is described. The method includes receiving financial transaction data from a plurality of input channels, each input channel associated with a financial transaction data format, converting the received financial transaction data into a common data format, enriching the converted financial transaction data by scoring the converted financial transaction data across a plurality of scoring engines, converting the plurality of scores relating to the financial transaction data from the scoring engines into output data, and transmitting the output data using an output manager, the output manager operable to provide the data into a format appropriate for each intended recipient.


