Patent ID: 11908003
Assignee: CAPITAL ONE SERVICES, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 5:
6. A computer-implemented method of producing a machine learning model for determining whether a visitor is in a browsing stage or in a purchasing stage, comprising:
performing an iteration of training the machine learning model, by:
identifying, via at least one processor, at least one historical customer of an electronic store that completed a purchase at the electronic store;
retrieving, via the at least one processor and from a system associated with the electronic store, tracking data indicative of interactions between the at least one identified historical customer and the electronic store via at least one customer device;
identifying a point in time at which the at least one customer obtained a prequalification;
isolating a portion of the tracking data corresponding to interactions that occurred prior to the point in time at which the at least one customer obtained the prequalification, and extracting the portion of the tracking data; and
training, via the at least one processor, the machine learning model using only the extracted portion of the tracking data corresponding to the interactions that occurred prior to the point in time at which the at least one customer obtaining the prequalification as training data, to associate the interactions in the extracted data with the completion of purchases, such that the machine learning model is trained to determine whether input tracking data includes interactions indicative of a customer in a purchasing stage;

receiving an indication that the electronic store has been altered;
in response to receiving the indication, performing a further iteration of the training of the machine learning model for at least one historical customer that completed a purchase at the altered electronic store.