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This invention describes a computer system that helps businesses understand their customers better by connecting their online activity with their in-store purchases. It works by first identifying groups of online users who share the same payment method, using a machine learning model to figure out if they are one person with multiple accounts or different people in the same household. Then, it uses a sophisticated data analysis technique called a factor graph to link these online profiles to actual in-store transactions, ultimately mapping specific online users to their real-world shopping habits.
Why it matters: Since 2020, cloud-based machine learning platforms and data integration tools have become far more sophisticated and accessible, simplifying the deployment and scaling of such complex data mapping systems. This makes building and maintaining the machine learning and factor graph components significantly easier now.
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