US 11,669,874 B2
System and method for analysis and presentation of used vehicle pricing data
Michael D. Swinson, Santa Monica, CA (US); Isaac Lemon Laughlin, Los Angeles, CA (US); Meghashyam Grama Ramanuja, Santa Monica, CA (US); Mikhail Semeniuk, Golden Valley, MN (US); and Xingchu Liu, Austin, TX (US)
Assigned to TrueCar, Inc., Santa Monica, CA (US)
Filed by TrueCar, Inc., Santa Monica, CA (US)
Filed on Jun. 17, 2022, as Appl. No. 17/843,426.
Application 17/843,426 is a continuation of application No. 16/888,383, filed on May 29, 2020, granted, now 11,392,999.
Application 16/888,383 is a continuation of application No. 16/148,695, filed on Oct. 1, 2018, granted, now 10,733,639, issued on Aug. 4, 2020.
Application 16/148,695 is a continuation of application No. 14/145,252, filed on Dec. 31, 2013, granted, now 10,108,989, issued on Oct. 23, 2018.
Application 14/145,252 is a continuation of application No. 13/554,743, filed on Jul. 20, 2012, granted, now 8,645,193, issued on Feb. 4, 2014.
Claims priority of provisional application 61/512,787, filed on Jul. 28, 2011.
Prior Publication US 2022/0327581 A1, Oct. 13, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/02 (2023.01); G06Q 10/06 (2023.01); G06Q 30/0201 (2023.01)
CPC G06Q 30/0278 (2013.01) [G06Q 10/06 (2013.01); G06Q 30/02 (2013.01); G06Q 30/0206 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method of used vehicle data processing, the method comprising:
receiving, from disparate data sources over a network by a backend process as inputs, vehicle trim data on vehicles over a past time period, vehicle manufacturer data on the vehicles when new, depreciation data on the vehicles or similar vehicle models, and vehicle price records on the vehicles, the backend process operated by a vehicle data system having a processor and a non-transitory computer-readable medium, the vehicle data system having a server computer that provides a web site or web service on Internet;
generating, by the backend process, estimates for parameters of a linear function used to determine current retail values of the vehicles;
applying, by the backend process, the determined current retail values of the vehicles to the vehicle price records;
constructing, by the backend process, a used vehicle research dataset including the current retail values of the vehicles as applied to the vehicle price records;
receiving, by the server computer through the web site or web service on the Internet, user input data including a zip code and vehicle year, make, model, trim, condition, and mileage of a used vehicle;
responsive to the user input data, constructing, by a frontend process based on the user input data, sets of regression variables including sets of regression variables constructed based on at least vehicle attributes of the used vehicle, the condition and mileage of the used vehicle, the zip code, the frontend process operated by the vehicle data system;
determining, by the frontend process using the zip code and the vehicle year, make, model, and trim of the used vehicle, a set of vehicles in a bin from the used vehicle research dataset, wherein each vehicle of the set of vehicles in the bin has the same vehicle year, make, model, and trim as the used vehicle and wherein each vehicle of the set of vehicles in the bin is in a geographic region inclusive of the zip code of the used vehicle;
determining, by the frontend process, an expected price of the used vehicle in the zip code using an average price for the used vehicle based on the current values of the set of vehicles in the bin from the used vehicle research dataset and a depreciated value of the used vehicle based on the sets of regression variables and the estimates for the parameters; and
presenting the expected price of the used vehicle in the zip code on a user device over the Internet.