Acquirer Processor Analytics Dashboard for Payment Data Insights
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Solution Overview
Problem
Conventional methods provide payment facilitators and sub-merchants with limited insights into electronic transaction data, and acquirer processors lack sufficient information for transaction processing and routing in payment facilitation environments.
Innovation Solution
Systems and methods for transmitting and generating analytics data, allowing payment facilitators and sub-merchants to access transaction data through an electronic dashboard, leveraging an acquirer processor's transaction database to provide insights and improve business decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional transaction processing methods are used, then transaction authorization and fund transfer are achieved, but payment facilitators and sub-merchants receive limited insights into electronic transaction data
Solution Approach 1:
The patent introduces an acquirer processor as an intermediary component between the payment facilitator/sub-merchant and the transaction data sources. This intermediary aggregates transaction data from multiple sources, processes it through analytics engines, and delivers consolidated insights to the payment facilitator and sub-merchant, thereby reducing information loss without requiring them to build complex data collection systems themselves
Solution Approach 2:
The system enables payment facilitators and sub-merchants to self-serve transaction analytics by providing them with direct access to processed transaction data through standardized interfaces. They can independently query and analyze their own transaction data without requiring manual intervention from the acquirer processor, thus improving information availability while maintaining system simplicity
2Loss of information
If comprehensive transaction data collection is implemented, then better analytics are provided, but acquirer processors lack sufficient information for transaction processing and routing
Solution Approach 1:
The patent implements preliminary data collection and validation at the point of transaction initiation. The acquirer processor proactively gathers necessary transaction information, validates data completeness, and pre-processes routing information before the actual transaction processing occurs. This preliminary action ensures that all necessary information is available when needed, preventing information gaps that would hinder processing efficiency
Solution Approach 2:
The system segments transaction data collection and processing into distinct functional modules: data collection at POS terminals, data transmission through the payment network, data validation at the acquirer processor, and analytics generation. This segmentation allows each component to focus on specific data requirements, ensuring that transaction processing information is captured efficiently without overwhelming the system
3Loss of time
If real-time analytics data transmission is provided, then business decision-making is improved, but system complexity and data transmission requirements increase
Solution Approach 1:
The patent extracts only the most critical and actionable analytics from the complete transaction dataset for real-time transmission to payment facilitators and sub-merchants. Rather than transmitting all available data, the system identifies and extracts key metrics such as transaction trends, anomaly detections, and immediate performance indicators, delivering them in real-time while leaving more complex analytical processing for batch operations
Solution Approach 2:
The system dynamically adjusts analytics transmission parameters based on user needs and system conditions. It varies the frequency, granularity, and types of analytics transmitted in real-time versus batch modes, changing data presentation formats and aggregation levels to optimize the balance between providing timely business insights and managing system complexity and transmission resources
Data Source
AI summary
Systems and methods for providing analytics data to payment facilitators and sub-merchants via a dynamic dashboard. Methods comprise receiving a request for analytics data associated with transaction data received at a point of sale terminal operated by a sub-merchant of the payment facilitator; querying, a transaction database of the acquirer processor computing system for the analytics data responsive to the request; transmitting the analytics data from the acquirer processor computing system to the payment facilitator computing system if the request for analytics data originates from the payment facilitator; transmitting the analytics data from the acquirer processor computing system to a sub-merchant computing system if the request for analytics data originates from the sub-merchant of the payment facilitator; and generating an electronic dashboard presenting the queried analytics data responsive to the request, for display on a screen of the payment facilitator computing system or the sub-merchant computing system.