Payment Hub System Dynamic Routing Integration
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Solution Overview
Problem
Current financial payment processing systems in the US and internationally are inefficient and costly, as they are based on traditional product silos that do not account for customer or financial institution needs in terms of timeliness, cost, and risk, and lack integration across different payment types and channels.
Innovation Solution
A comprehensive payment hub system that dynamically determines and arranges payment processes based on input channels, payment types, and attributes, allowing for serial, parallel, or combined processing, and adjusts during processing based on outcomes, to optimize payment routing and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional product silo routing is used, then each payment type has dedicated processing logic and hardware, but the system lacks integration across different payment types and channels, resulting in inefficiency and high cost
Solution Approach 1:
The patent merges multiple separate payment processing systems into a single integrated payment hub that can handle various payment types (paper, image, electronic, wire, ACH) through a unified architecture. The payment hub consolidates previously siloed processing logic and hardware into one system, enabling cross-payment-type integration while maintaining specialized processing capabilities through modular design.
Solution Approach 2:
The payment hub is designed as a universal system capable of processing multiple payment types through a single interface. It implements multi-functional processing logic that can adapt to different payment formats and routing requirements, allowing one system to perform the functions previously requiring separate dedicated systems for each payment type.
2Ease of operation
If pre-dispositioned routing is used, then payments are assigned to specific channels before transmission, but the system does not account for customer needs in terms of timeliness, cost, and risk
Solution Approach 1:
The patent implements dynamic routing that adjusts payment processing based on real-time conditions and customer preferences. The system evaluates multiple factors including timeliness requirements, cost considerations, and risk profiles to determine optimal routing decisions. This dynamic approach replaces static pre-dispositioned routing with adaptive decision-making that responds to varying customer needs and system conditions.
Solution Approach 2:
The routing system incorporates feedback mechanisms that consider customer preferences, payment attributes, and system performance data to continuously optimize routing decisions. The system learns from processing outcomes and adjusts routing strategies to better satisfy customer requirements for timeliness, cost, and risk management while improving overall system efficiency.
3Productivity
If separate product silos are used, then specific logic processing and hardware are required for each payment type, but processing efficiency and cost-effectiveness are reduced
Solution Approach 1:
The patent segments the payment processing system into modular functional components within the payment hub, where each module handles specific processing tasks that can be dynamically allocated based on payment type and routing requirements. This segmentation allows efficient resource utilization by activating only the necessary processing components for each transaction, improving productivity while reducing wasted computational resources and costs.
Data Source
AI summary
Systems, methods, and computer program products are provided for managing the processing of a financial payment and, more specifically managing the processing of a financial payment in a comprehensive payment hub environment that provides for payment processing, including payment route determination, irrespective of the payment input channel. In accordance with embodiments herein disclosed, managing the processing of the payment includes automatically determining the payment processes and automatically determining the arrangement of the payment processes. As such, the methods, systems, and computer program products herein described provide for an efficient and cost-effective approach to processing payments.