Universal Account Identifier for Transaction Data Correlation

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Solution Overview

Problem

Merchants face challenges in correlating tokenized and non-tokenized transaction data from e-commerce and physical point-of-sale channels, making it difficult to perform comprehensive analytics, fraud detection, and marketing efforts, as tokenized data obscures the real transaction data, preventing matching across different payment channels.

Innovation Solution

Generating and providing a universal account identifier that substitutes both payment tokens and primary account identifiers, allowing merchants to track and correlate transactions across various payment channels, including e-commerce and retail, enabling unified data analysis and improved fraud detection and marketing strategies.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If tokenized data is used to obscure real transaction data for fraud prevention, then security is improved, but the ability to correlate and analyze transaction data across different channels deteriorates

Engineering Contradiction:

Improvefraud detection capabilityVSAvoidtransaction data correlation capability

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The patent introduces an intermediary system (token service provider and correlation system) that mediates between the tokenized data and the merchant's analytics needs. The correlation system receives both tokenized transaction data and non-tokenized transaction data, matches them using correlating information, and provides unified analytics without exposing sensitive account data, thus resolving the contradiction between security and data correlation capability

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent segments the transaction data processing into multiple components: tokenized data from e-commerce channels, non-tokenized data from physical channels, and correlating information that links them. This segmentation allows each component to be processed appropriately while maintaining the ability to correlate across channels through the correlating information

Inventive Principle:

Principle #1Segmentation

2Adaptability or versatility

If different data formats are used for e-commerce and physical point-of-sale transactions, then each channel can be optimized independently, but the complexity of integrating and analyzing data from both channels increases

Engineering Contradiction:

Improvechannel-specific optimizationVSAvoiddata integration complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent creates a universal correlation framework that can handle multiple data formats (tokenized and non-tokenized) from different channels (e-commerce and physical POS). The correlation system is designed to be multi-functional, accepting various input formats and producing unified analytics output, thus reducing integration complexity while maintaining channel-specific optimization

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS11037140B2Method and system for correlating diverse transaction data

Publication Date: 2021.06.15 VISA INTERNATIONAL SERVICE ASSOCIATION

AI summary

Embodiments of the present invention are directed to methods, systems, and apparatuses for matching e-commerce and physical point-of-sale transaction data. In one embodiment, a method includes receiving, by a computer, first transaction data comprising a payment token or second transaction data comprising a primary account identifier, wherein the payment token is derived from the primary account identifier, and providing, by the computer, a universal account identifier after receiving the payment token or the account identifier, wherein the universal account identifier is a substitute for the payment token and the primary account identifier.