The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 23, 2024

Filed:

May. 17, 2021
Applicant:

Ford Global Technologies, Llc, Dearborn, MI (US);

Inventors:

Jeremy Lerner, Southfield, MI (US);

Paige Wong, Ann Arbor, MI (US);

Scott Huggins, Novi, MI (US);

Xingping Chen, Troy, MI (US);

Taylor Hawley, Oak Park, MI (US);

Assignee:

Ford Global Technologies, LLC, Dearborn, MI (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/0207 (2023.01); G06Q 30/0202 (2023.01); G06Q 30/0645 (2023.01); G06Q 30/0201 (2023.01); G06Q 50/30 (2012.01); G06N 5/04 (2023.01); G07C 5/08 (2006.01); G06Q 10/0631 (2023.01); G06Q 30/0601 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0224 (2013.01); G06N 5/04 (2013.01); G06Q 10/06315 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0202 (2013.01); G06Q 30/0645 (2013.01); G06Q 50/30 (2013.01); G07C 5/0841 (2013.01); G06Q 30/0631 (2013.01);
Abstract

The disclosure generally pertains to systems and methods to predict a vehicle preference of a customer of a rental vehicle agency. An example method to do so involves a computer executing a prediction procedure to obtain and evaluate information associated with a customer. The information can include vehicle ownership history and/or monitoring data obtained from vehicles used by the customer (a personal vehicle, a taxi, and/or a ride share service vehicle, for example). The information may be evaluated by the computer to determine a personal profile of the customer. The personal profile can include items such as physical attributes of the customer, family size, driving characteristics, and/or past vehicle ownership. The personal profile of the customer may then be used by the computer to predict a type of vehicle preferred by the customer and to select, from a vehicle fleet, a vehicle that matches the preferred type of vehicle.


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