IP Library Granted Patent US 12,367,520
Granted Patent B2
US 12,367,520 · App. 17/713,774 · Granted Jul 22, 2025

Vehicle sale systems and methods for offering dealer services to vehicle seller and vehicle buyer

Inventors: Tyler J. Brown (Dallas, TX); Michael Dorazio (Santa Monica, CA); Imad Zahid (Carrollton, TX); Gunnar R. Heinisch (McKinney, TX)
Assignee: Toyota Motor North America, Inc.
G06Q30/0631G06Q30/0202
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Quick Facts
Patent No.
US 12,367,520
App. No.
17/713,774
Granted
Jul 22, 2025
Kind
B2
Abstract

A method and system for facilitating a vehicle transaction are provided. The method includes receiving a vehicle listing from a seller device identifying a seller vehicle to be sold, identifying market trends based on previous vehicle transactions related to the seller vehicle, and causing one or more seller suggestions to be displayed on the seller device identifying one or more modifications to the seller vehicle which, if satisfied, would increase a probability that the seller vehicle will be matched to a buyer request received from a buyer device.

Claims (43)

1. A method comprising:

receiving, at a server, a vehicle listing from a seller device identifying a seller vehicle to be sold;

identifying, by the server, market trends by a market trend analysis module based on previous vehicle transactions related to the seller vehicle;

causing, by the server, one or more seller suggestions to be displayed on the seller device identifying one or more modifications to the seller vehicle which, if satisfied, would increase a probability that the seller vehicle will be matched to a buyer request received from a buyer device, the one or more seller suggestions including a suggestion to modify the seller vehicle;

comparing, by the server, an initial state of the seller vehicle and a modified state of the seller vehicle;

determining, by the server, whether the existing vehicle component of the seller vehicle has been modified or replaced based on the comparing of the initial state and the modified state; and

in response to matching the seller vehicle with a buyer request and executing a vehicle sale of the seller vehicle by the server, recording, by the server, the vehicle sale in the market trend analysis module and updating, by the server, the market trend analysis module for purposes of improving the probability of future vehicle matches.

2. The method of claim 1 , further comprising:

determining, by the server, a first estimated time for the seller vehicle to be sold based on the market trends and a current state of the seller vehicle without satisfying the one or more modifications to the seller vehicle;

determining, by the server, a second estimated time for the seller vehicle to be sold based on the market trends and a modified state of the seller vehicle after the one or more modifications to the seller vehicle are satisfied; and

in response to the second estimated time being less than the first estimated time, sending, by the server, the one or more seller suggestions to the seller device to make the one or more modifications to the seller vehicle.

3. The method of claim 2 , further comprising, in response to the second estimated time being less than the first estimated time, sending, by the server, a plurality of seller suggestions to the seller device to make one or more modifications to the seller vehicle, each of the plurality of seller vehicle suggestions indicating a different one or more modification to the seller vehicle.

4. The method of claim 1 , further comprising sending, by the server, the one or more seller suggestions to the seller device in response to receiving the vehicle listing and matching the vehicle listing to the buyer request.

5. The method of claim 1 , further comprising:

receiving, at the server, the buyer vehicle request from the buyer device identifying a buyer vehicle to be purchased; and

sending, by the server, one or more buyer suggestions to the buyer device in response to receiving the buyer request and matching the buyer request to the vehicle listing.

6. The method of claim 5 , further comprising sending, by the server, the one or more seller suggestions to the seller device in response to the one or more buyer suggestions being accepted by the buyer device.

7. The method of claim 1 , wherein the one or more modifications comprises instructions to perform at least one of an upgrade to the seller vehicle and a downgrade to the seller vehicle.

8. A system comprising:

a server configured to:

receive a vehicle listing from a seller device identifying a seller vehicle to be sold;

identify market trends by a market trend analysis module based on previous vehicle transactions related to the seller vehicle;

cause one or more seller suggestions to be displayed on the seller device identifying one or more modifications to the seller vehicle which, if satisfied, would increase a probability that the seller vehicle will be matched to a buyer request received from a buyer device, the one or more seller suggestions including a suggestion to modify the seller vehicle;

compare an initial state of the vehicle and a modified state of the vehicle;

determine whether the existing vehicle component of the seller vehicle has been modified or replaced based on a comparison of the initial state and the modified state; and

in response to matching the seller vehicle with a buyer request and executing a vehicle sale of the seller vehicle, recording the vehicle sale in the market trend analysis module and updating the market trend analysis module for purposes of improving the probability of future vehicle matches.

9. The system of claim 8 , wherein the server is further configured to:

determine a first estimated time for the seller vehicle to be sold based on the market trends and a current state of the seller vehicle without satisfying the one or more modifications to the seller vehicle;

determine a second estimated time for the seller vehicle to be sold based on the market trends and a modified state of the seller vehicle after the one or more modifications to the seller vehicle are satisfied; and

in response to the second estimated time being less than the first estimated time, send the one or more seller suggestions to the seller device to make the one or more modifications to the seller vehicle.

10. The system of claim 9 , wherein the server is further configured to:

in response to the second estimated time being less than the first estimated time, send a plurality of seller suggestions to the seller device to make one or more modifications to the seller vehicle, each of the plurality of seller vehicle suggestions indicating a different one or more modification to the seller vehicle.

11. The system of claim 8 , wherein the server is further configured to:

send the one or more seller suggestions to the seller device in response to receiving the vehicle listing and matching the vehicle listing to the buyer request.

12. The system of claim 8 , wherein the server is further configured to:

receive the buyer vehicle request from the buyer device identifying a buyer vehicle to be purchased; and

send one or more buyer suggestions to the buyer device in response to receiving the buyer request and matching the buyer request to the vehicle listing.

13. The system of claim 12 , wherein the server is further configured to:

send the one or more seller suggestions to the seller device in response to the one or more buyer suggestions being accepted by the buyer device.

14. The system of claim 8 , wherein the one or more modifications comprises instructions to perform at least one of an upgrade to the seller vehicle and a downgrade to the seller vehicle.

15. The system of claim 8 , wherein the seller vehicle includes a plurality of parameters, each of the plurality of parameters provided a value, a closeness to that value being calculated for each corresponding parameter in the buyer request.

16. The system of claim 8 , wherein the server includes one or more memory modules including a machine learning algorithm configured to determine how long the seller vehicle is likely to take until a match with the buyer request is satisfied based on a current condition of the seller vehicle.

17. The system of claim 8 , wherein the seller device is provided with one or more seller suggestions in response to one or more buyer suggestions being accepted by the buyer device.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 5, 2022
From: BROWN, TYLER J.; DORAZIO, MICHAEL; ZAHID, IMAD; HEINISCH, GUNNAR R.
To: TOYOTA MOTOR NORTH AMERICA, INC.
Reel/Frame 059506/0848 →
Continuity (1)
Related Publication 20230316376A1 · Oct 5, 2023
References Cited (54)
US 6895388B1 · Smith · 2005 [cited by examiner]
US 7028002B2 · Wakabayashi et al. · 2006 [cited by applicant]
US 7603293B2 · Chenn · 2009 [cited by applicant]
US 7921052B2 · Dabney · 2011 [cited by examiner]
US 8005731B1 · Wolfe · 2011 [cited by examiner]
US 8032419B2 · Chenn · 2011 [cited by applicant]
US 8442884B2 · Haberstroh · 2013 [cited by applicant]
US 8527357B1 · Ganesan · 2013 [cited by examiner]
US 9691095B2 · McCluskey · 2017 [cited by applicant]
US 10600103B2 · McCluskey · 2020 [cited by applicant]
US 20020169640A1 · Freeland · 2002 [cited by applicant]
US 20050010503A1 · Ratnayake · 2005 [cited by applicant]
US 20080103943A1 · Williams et al. · 2008 [cited by applicant]
US 20090271296A1 · Romero · 2009 [cited by applicant]
US 20100042508A1 · Bundy et al. · 2010 [cited by applicant]
US 20100257104A1 · Bundy · 2010 [cited by examiner]
US 20120036033A1 · Seergy · 2012 [cited by examiner]
US 20120197699A1 · Snell · 2012 [cited by examiner]
US 20120265634A1 · Kinney · 2012 [cited by applicant]
US 20120303474A1 · Sanel · 2012 [cited by examiner]
US 20120316997A1 · Herbert · 2012 [cited by examiner]
US 20130197971A1 · Wilke · 2013 [cited by examiner]
US 20140289078A1 · Paul · 2014 [cited by examiner]
US 20150058151A1 · Sims · 2015 [cited by examiner]
US 20160189260A1 · Nagla · 2016 [cited by examiner]
US 20170270580A1 · Esposito · 2017 [cited by examiner]
US 20170300991A1 · Aggarwal · 2017 [cited by examiner]
US 20170337573A1 · Toprak · 2017 [cited by examiner]
US 20180018723A1 · Nagla · 2018 [cited by examiner]
US 20180096398A1 · Wickett · 2018 [cited by applicant]
US 20190073703A1 · Aggarwal · 2019 [cited by applicant]
US 20200027141A1 · Tompkins · 2020 [cited by examiner]
US 20200167811A1 · Aggarwal · 2020 [cited by examiner]
US 20200349595A1 · Anderson · 2020 [cited by examiner]
US 20200380589A1 · Clark et al. · 2020 [cited by applicant]
US 20210049686A1 · Frazer · 2021 [cited by examiner]
US 20210110466A1 · Zhukov · 2021 [cited by examiner]
US 20210312406A1 · Dedes · 2021 [cited by examiner]
US 20210390570A1 · Rabenold · 2021 [cited by examiner]
US 20220198556A1 · Baghestani · 2022 [cited by examiner]
JP 2003067592A · 2003 [cited by applicant]
JP 2021068334A · 2021 [cited by applicant]
KR 20010000631A · 2001 [cited by applicant]
KR 101185968B1 · 2012 [cited by applicant]
KR 20170055332A · 2017 [cited by applicant]
WO 0215129A2 · 2002 [cited by applicant]
WO 2010134534A1 · 2010 [cited by applicant]
WO 2019227449A1 · 2019 [cited by applicant]
WO 2021157754A1 · 2021 [cited by applicant]
Huang, Guofang, Hong Luo, and Jing Xia. “Invest in information or wing it? A model of dynamic pricing with seller learning.” A Model of Dynamic Pricing with Seller Learning (Sep. 2, 2015). (Year: 2015). [cited by examiner]
Lacetera, Nicola, Devin G. Pope, and Justin R. Sydnor. “Heuristic thinking and limited attention in the car market.” American Economic Review 102.5 (2012): 2206-2236. (Year: 2012). [cited by examiner]
Carro (https://carro.sg/used-car-loan), 3 pgs, accessed on Dec. 6, 2021. [cited by applicant]
Tred (https://www.tred.com/), 6 pgs, accessed on Dec. 6, 2021. [cited by applicant]
Truebil (https://www.truebil.com/), 3 pgs, accessed on Dec. 6, 2021. [cited by applicant]