US 12,340,411 B2
Computing techniques to predict locations to obtain products utilizing machine-learning
Jeremy Phillips, Brooklyn, NY (US); Andrew Grossman, White Plains, NY (US); and Catherine Bousquet, Brooklyn, NY (US)
Assigned to Capital One Services, LLC, McLean, VA (US)
Filed by Capital One Services, LLC, McLean, VA (US)
Filed on Oct. 25, 2022, as Appl. No. 17/972,987.
Application 17/972,987 is a continuation of application No. 16/867,998, filed on May 6, 2020, granted, now 11,514,504.
Prior Publication US 2023/0109673 A1, Apr. 13, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/00 (2023.01); G06F 3/0482 (2013.01); G06K 19/06 (2006.01); G06Q 10/0836 (2023.01); G06Q 10/087 (2023.01); G06Q 30/0251 (2023.01); G06Q 30/0601 (2023.01)
CPC G06Q 30/0639 (2013.01) [G06F 3/0482 (2013.01); G06K 19/06009 (2013.01); G06Q 10/0836 (2013.01); G06Q 10/087 (2013.01); G06Q 30/0261 (2013.01); G06Q 30/0631 (2013.01); G06Q 30/0635 (2013.01)] 20 Claims
OG exemplary drawing
 
10. A computer-implemented method, comprising:
receiving, via a communication interface coupled with a computing network, a request from a device associated with a customer, the request comprising information for a product and the customer;
receiving, periodically or semi-periodically, location information associated with the customer prior to training a trained model, the location information for use in training a model to produce the trained model;
applying the trained model to the information associated with the product and the customer of the request to determine one or more physical locations of a product provider that are near the customer at various times of a day and a convenience probability for each of the one or more physical locations of a product provider to provide the product;
generating a code associated with the request, the code including a digital audio code;
encrypting the code for sending to the device associated with the customer and to a system associated with the product provider;
sending first information to the device associated with the customer, the first information to include an indication of at least one of the one or more physical locations and the code, wherein the indication is based on the convenience probability, wherein the digital audio code is configured to be played back via a speaker of the device associated with the customer to the system for verification;
performing a lookup in a data structure, the lookup being based on the indication of the at least one physical location, to determine the system associated with the product provider to pick up the product; and
sending second information to the system associated with the product provider, wherein the second information is to identify the product and to be compared with the digital audio code, wherein the system is to use the second information to enable access to the product in response to an instance of the digital audio code being provided to the system and corresponding to the digital audio code received by the system in the second information.