US 12,346,919 B2
Intelligent dealership recommendation engine
Micah Price, The Colony, TX (US); Qiaochu Tang, Frisco, TX (US); Geoffrey Dagley, McKinney, TX (US); and Avid Ghamsari, Carrollton, TX (US)
Assigned to Capital One Services, LLC, McLean, VA (US)
Filed by Capital One Services, LLC, McLean, VA (US)
Filed on Feb. 9, 2024, as Appl. No. 18/437,882.
Application 18/437,882 is a continuation of application No. 17/405,794, filed on Aug. 18, 2021, granted, now 11,935,078.
Application 17/405,794 is a continuation of application No. 16/871,662, filed on May 11, 2020, granted, now 11,126,931, issued on Sep. 21, 2021.
Prior Publication US 2024/0185273 A1, Jun. 6, 2024
Int. Cl. G06Q 30/0202 (2023.01); G06F 18/214 (2023.01); G06N 5/025 (2023.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01)
CPC G06Q 30/0202 (2013.01) [G06N 5/025 (2013.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06F 18/214 (2023.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving, from a user device, customer information corresponding to a customer;
determining a set of vehicles, which is in an inventory of a vehicle dealership, that the customer is prequalified to purchase based on the customer information and a pricing model for financing the set of vehicles;
determining, using a machine learning model trained to approximate the pricing model based on historical output of the pricing model, a score for each vehicle within the set of vehicles based on the customer information and vehicle information for the set of vehicles, wherein the machine learning model is trained to approximate the pricing model with a threshold accuracy of less than 100% and prevented from training beyond the threshold accuracy, and wherein the score is determined based on an objective maximization function that maximizes both:
a first probability that the customer will purchase the vehicle, and
a second probability that a profitability of a sale price of the vehicle is agreeable to the vehicle dealership; and
generating a list of vehicles based on the set of vehicles, sorted by the score for each vehicle.