Customer Activity Tracking via Device ID and Location Data

The system performs preliminary actions by capturing device identifiers and location data during browsing sessions before any purchase or login occurs. This allows the retailer to build a profile of customer behavior anonymously, then later connect this data to identified customers when they do make a purchase or log in, thereby linking online and offline behaviors without requiring immediate identification.

The patent introduces device identifiers and location data as intermediary elements that bridge anonymous browsing behavior and identified customer profiles. These intermediaries allow the system to track and connect customer activities across different channels (online browsing, in-store visits, purchases) without requiring the customer to consciously identify themselves at each interaction point.

The system implements self-service by automatically populating credit application fields using data already collected from the customer's browsing behavior, device information, and location data. The customer simply needs to verify the pre-filled information rather than manually entering it, which maintains data accuracy through existing verification processes while dramatically reducing friction and increasing completion rates.

The system performs preliminary data collection and validation by gathering device identifiers, location information, and browsing patterns before the credit application process begins. This pre-collected data is then automatically formatted and inserted into the application, eliminating the need for customers to manually re-enter information and reducing completion barriers while maintaining reliability through pre-verification.