Cardholder Location Inference via Transaction Data
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Solution Overview
Problem
Current systems fail to accurately determine a cardholder's base location based on transaction data, leading to potential inaccuracies in fraud detection and marketing efforts due to reliance on stated addresses, which may not reflect actual locations.
Innovation Solution
The method involves generating merchant customer base location profiles from transaction data, using a training engine to create profiles that estimate the probability of a cardholder's base location by aggregating geographic distributions from multiple merchants, and then determining possible base locations through a determination engine, which can infer locations even without merchants in the area and adapt to new data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If stated addresses are used to determine cardholder location, then the system is simple to operate, but the location accuracy deteriorates
Solution Approach 1:
The patent replaces the mechanical/manual system of using stated addresses with an automated statistical system that processes transaction data. The determination engine automatically computes base location probabilities by analyzing patterns in transaction data across multiple merchants, substituting simple address lookup with a sophisticated data-driven location inference system that achieves higher accuracy without manual intervention.
2Measurement precision
If transaction data from multiple merchants is aggregated to improve location accuracy, then the location precision improves, but the system complexity increases
Solution Approach 1:
The determination engine serves multiple functions: it profiles individual merchants, aggregates data across merchants, computes statistical probabilities, and generates location predictions. This multi-functional approach consolidates what would otherwise require separate systems into a single engine that handles the entire location determination pipeline, managing complexity through functional integration rather than proliferation of components.
Solution Approach 2:
The system transforms raw transaction data into standardized probability parameters that represent location likelihood. By changing the parameter representation from discrete transaction records to continuous probability distributions, the system enables mathematical aggregation and comparison across different merchants, simplifying the complexity of integrating heterogeneous data sources into a unified location assessment framework.
3Adaptability or versatility
If a training engine is used to create merchant profiles from historical data, then the adaptability to new data improves, but the processing time increases
Solution Approach 1:
The training engine performs preliminary profiling of merchants during periods when data is available, creating pre-computed statistical models that capture merchant location patterns. This preliminary action stores processed knowledge in merchant profiles, so that when new transactions need location determination, the system can quickly query existing profiles rather than re-processing historical data, thereby reducing real-time processing time while maintaining adaptability through periodic profile updates.
Data Source
AI summary
Methods and apparatus, including computer program products, for cardholder localization based on transaction data. In general, a determination of one or more possible base locations of a cardholder of a payment card may be initiated. Transactions of the cardholder may be associated with merchant customer base location profiles, where each of the merchant customer base location profiles models a distribution of base locations of customers with which a merchant has had a transaction. The one or more possible cardholder base locations may be derived from the merchant customer base location profiles. The one or more possible cardholder base locations may be used to determine a home or office location of a cardholder where such information is not otherwise available, to determine whether a cardholder has moved from a stated address, to determine if a cardholder has multiple residences, to detect fraud, and the like.