Acquirer Processor Analytics for Payment Insights
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing payment processing systems lack insights for payment facilitators and sub-merchants into electronic transaction data, and acquirer processors have insufficient information for efficient transaction processing and routing in payment facilitation and sub-merchant environments.
Innovation Solution
The implementation of systems and methods that leverage Internet of Things (IoT) devices to provide real-time data analytics to payment facilitators, sub-merchants, and cardholders over an electronic payments network, by receiving and transmitting transaction data and unique identifiers through a network of IoT devices, payment facilitators, and acquirer processors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional payment processing methods are used, then transaction authorization and fund transfer are achieved, but payment facilitators and sub-merchants receive few insights into electronic transaction data
Solution Approach 1:
The patent introduces an acquirer processor computing system as an intermediary between the payment facilitator and the transaction data sources. This intermediary cross-analyzes transaction data with previously stored information and generates analytics reports, thereby providing insights to payment facilitators without requiring them to directly access or process raw transaction data themselves.
Solution Approach 2:
The system implements feedback by generating analytics reports that are transmitted back to payment facilitators and sub-merchants. These reports provide insights into transaction patterns, spending behaviors, and other analytical information, creating a feedback loop that enables data-driven decision-making without increasing the complexity of the core payment processing infrastructure.
2Productivity
If existing payment processing techniques are used, then basic transaction processing is achieved, but acquirer processors have insufficient information for efficient transaction processing and routing
Solution Approach 1:
The system performs preliminary action by cross-analyzing transaction data with previously stored transaction information before final processing decisions are made. The acquirer processor computing system compares incoming transaction data against historical data patterns, enabling more efficient routing and processing decisions to be made in advance rather than reacting to each transaction in isolation.
Solution Approach 2:
The system implements feedback mechanisms where analytics reports are generated based on cross-analyzed transaction data and transmitted to acquirer processors. This feedback provides continuous information about transaction patterns, enabling acquirer processors to optimize routing efficiency and processing priorities based on real-time and historical insights.
Data Source
AI summary
Systems and methods for providing analytics data to payment facilitators and sub-merchants via a dynamic dashboard, in response to receiving transaction data from one or more Internet of Things (IoT) devices. In one implementation, a method includes receiving transaction data and a unique identifier of a sub-merchant, analyzing that data, and transmitting an unrequested analytics report to a dashboard.


