Merchant Aggregator for Real-Time Transaction Correlation
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Solution Overview
Problem
Current systems for processing transaction data from payment cards lack effective integration of real-time analytics and personalized advertising, failing to efficiently correlate offline transactions with online activities and events for targeted marketing and predictive modeling.
Innovation Solution
A system that processes transaction data to generate user-specific profiles, correlating offline transactions with online activities and events, and uses a merchant aggregator to provide real-time personalized advertisements and offers, while maintaining user privacy and enhancing marketing strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If transaction data is processed to generate user-specific profiles for targeted advertising, then marketing effectiveness is improved, but user privacy is compromised
Solution Approach 1:
The patent introduces a merchant aggregator as an intermediary layer between transaction processing systems and advertising platforms. This aggregator anonymizes and aggregates transaction data before sharing it with advertising networks, enabling targeted marketing while preserving user privacy through data abstraction and aggregation techniques.
Solution Approach 2:
The system transforms detailed personal transaction data into aggregated statistical parameters that retain marketing value while removing personally identifiable information. By changing the parameter representation from individual-level to群体-level data, the system maintains productivity while reducing privacy loss.
2Measurement precision
If real-time analytics are integrated into transaction processing, then advertising relevance is improved, but system complexity increases
Solution Approach 1:
The patent divides the complex real-time analytics system into modular components: transaction data collection modules, aggregation modules, analysis modules, and delivery modules. Each module performs a specific function, reducing overall system complexity while maintaining real-time advertising relevance through coordinated operation of these segmented components.
Solution Approach 2:
The merchant aggregator serves as an intermediary that simplifies the integration of real-time analytics by providing standardized data interfaces and pre-processed transaction information, reducing the complexity burden on both transaction processing systems and advertising platforms.
3Measurement precision
If offline transactions are correlated with online activities, then predictive modeling accuracy is improved, but data integration difficulty increases
Solution Approach 1:
The patent creates a universal data aggregation framework that handles multiple data sources (offline transactions, online activities, events) through a single standardized interface. The merchant aggregator performs multi-functional operations including data collection, normalization, correlation, and analysis, reducing integration difficulty while improving predictive modeling accuracy.
Solution Approach 2:
The system merges previously siloed offline and online data streams into a unified analytical framework. By combining transaction data with online activity data and event data through the aggregator, the system achieves improved predictive modeling accuracy while managing integration complexity through consolidated data processing.
Data Source
AI summary
A computing apparatus configured to determine account numbers of account holders, determine merchant identifiers used to identify respective merchants in authorization requests for transactions between the respective merchants and the account holders, monitor transactions processed by a transaction handler to detect first transactions between the merchants and the account holders, and transmit information about each of the first transactions to a remote computing device in real time as the transaction handler processes the authorization of the respective detected transaction.