Distributed Clearinghouse Network for Real-Time Transaction Settlement
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Solution Overview
Problem
Conventional centralized clearinghouse systems face issues with latency, scalability, single points of failure, lack of transparency, and inefficiencies due to batch processing, which hinder real-time analytics and fraud detection, and limit the adoption of new technologies and services.
Innovation Solution
Deployment of an interconnected network of localized clearinghouse devices leveraging advanced cellular communication capabilities for real-time transaction settlement, reducing the need for centralized batch processing, and utilizing fraud detection engines to identify and mitigate fraudulent transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a centralized clearinghouse uses batch processing to reduce infrastructure and operational costs, then efficiency and cost-effectiveness are improved, but latency between transaction initiation and settlement increases
Solution Approach 1:
The patent divides the centralized clearinghouse into multiple distributed clearinghouse nodes deployed across different locations. Each node independently processes transactions locally, eliminating the need for centralized batch processing while reducing settlement latency. The segmentation allows parallel processing of transactions across multiple nodes simultaneously.
Solution Approach 2:
The patent transitions from a single-dimensional centralized processing model to a multi-dimensional distributed network architecture. By adding spatial distribution as a new dimension, the system achieves both cost-effectiveness through shared infrastructure and reduced latency through local processing capabilities.
2Ease of operation
If a single centralized clearinghouse is used to simplify system architecture, then ease of operation is improved, but the system becomes a single point of failure reducing reliability
Solution Approach 1:
The clearinghouse functionality is segmented into multiple independent nodes distributed across the network. Each node operates autonomously, so if one node fails, others continue processing transactions. This segmentation eliminates the single point of failure while maintaining operational simplicity through standardized node interfaces.
Solution Approach 2:
The system changes the operational parameter from centralized control to distributed consensus. Nodes communicate through standardized protocols and reach consensus on transaction validation, maintaining ease of operation through automated processes while achieving high reliability through redundancy.
3Stability of the object's composition
If a centralized clearinghouse processes all transactions through a single system, then transaction consistency is maintained, but scalability is limited as transaction volume increases
Solution Approach 1:
The patent segments the transaction processing capacity across multiple clearinghouse nodes that can scale independently. Each node maintains transaction consistency through standardized validation rules and consensus mechanisms, while the overall system capacity scales linearly with the number of nodes added to the network.
Solution Approach 2:
Each clearinghouse node is designed as a universal, multi-functional unit capable of processing various transaction types independently. This universality allows the system to scale capacity by adding identical nodes without compromising transaction consistency, as each node implements the same validation and processing logic.
4Productivity
If batch processing is used to reduce operational costs, then resource utilization is improved, but real-time analytics and fraud detection capabilities are degraded
Solution Approach 1:
The patent segments transaction processing into real-time individual transaction handling at each node, rather than batch processing. This allows fraud detection engines at each node to analyze transactions immediately as they occur, providing real-time analytics and monitoring while maintaining efficient resource utilization through localized processing.
Solution Approach 2:
Fraud detection engines act as intermediaries between transaction processing and analysis. These engines receive transaction data from the clearinghouse nodes, perform real-time analysis, and generate alerts or decisions without disrupting the main transaction flow, enabling real-time monitoring with minimal impact on processing efficiency.
Data Source
AI summary
Systems, apparatuses, methods, and computer program products are disclosed for transaction facilitation via a plurality of clearinghouse devices. An example method includes receive, from a user device, a transaction request and determining, based on the transaction request and a clearinghouse mapping protocol, whether the first clearinghouse device is to facilitate a transaction associated with the transaction request. The method also includes in response to determining that the first clearinghouse device is to facilitate the transaction, authenticating the user device, facilitating the transaction associated with the transaction request, generating an audit trail object based on the facilitated transaction, and causing transmission of the audit trail object to a central entity.