IP Library › Granted Patent US 11,475,495
Granted Patent B2
US 11,475,495 · App. 17/218,803 · Granted Oct 18, 2022

Information processing device, program and information processing method

Inventors: Xin Jin (Nagoya, JP); Takayuki Murase (Toyota, JP); Tadahiro Kashiwai (Nagoya, JP); Toru Takashima (Susono, JP); Hiroaki Hanzawa (Toyota, JP); Hideo Hasegawa (Nagoya, JP)
Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
G06Q30/0611G06Q30/0205G06Q30/0206
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Quick Facts
Patent No.
US 11,475,495
App. No.
17/218,803
Granted
Oct 18, 2022
Kind
B2
Abstract

An information processing device calculates a quoted price to be presented to a purchase contemplation person for a vehicle. The information processing device includes a control unit that calculates a demand forecast when the purchase contemplation person uses the vehicle as a car-sharing vehicle, calculates an expected income when the purchase contemplation person uses the vehicle as the car-sharing vehicle, based on the demand forecast, and calculates the quoted price based on a vehicle price of the vehicle and the expected income, to present the quoted price to the purchase contemplation person.

Claims (41)

1. A system for predicting and comparing effective prices of vehicles, for presentation to a purchase contemplation person selecting a vehicle for contemplation, the vehicle pricing system comprising a control unit that:

for the vehicle selected for contemplation and for each vehicle of a plurality of alternative vehicles:

calculates a demand forecast describing a predicted level of demand for the vehicle for car-sharing purposes, the demand forecast being calculated based on data provided by the purchase contemplation person,

calculates an expected income for when the purchase contemplation person uses the vehicle for car-sharing purposes, based on the demand forecast, and

calculates the effective price based on a deduction of the expected income from a vehicle price of the vehicle;

identifies, from the plurality of alternative vehicles, an alternative vehicle having an effective price comparable to the effective price of the vehicle selected for contemplation;

extracts model information of the identified alternative vehicle; and

provides the effective prices of the vehicle selected for contemplation and the identified alternative vehicle, and the extracted model information of the identified alternative vehicle, for presentation to the purchase contemplation person.

2. The system according to claim 1 , wherein the control unit calculates the demand forecast based on demand during expected periods of availability of the vehicle for car-sharing purposes.

3. The system according to claim 1 , wherein the control unit calculates the demand forecast based on demand within a resident area of the purchase contemplation person.

4. The system according to claim 1 , wherein the control unit calculates the demand forecast based on a vehicle model of the vehicle.

5. The system according to claim 1 , wherein the control unit calculates the demand forecast based on a per-time price when the purchase contemplation person uses the vehicle for car-sharing purposes, the demand forecast being inversely related to the per-time price.

6. The system according to claim 1 , wherein the control unit calculates the demand forecast based on an option that is equipped in the vehicle, the demand forecast increasing with the presence of the option.

7. The system according to claim 1 , wherein the control unit calculates the demand forecast in consideration of aging degradation of the vehicle, the demand forecast being inversely related to the passage of time.

8. The predictive vehicle pricing system according to claim 1 , wherein the demand forecast describes a predicted level of demand for the vehicle over an expected ownership duration of the vehicle.

9. A computer program product that predicts and compares effective prices of vehicles, for presentation to a purchase contemplation person selecting a vehicle for contemplation, the computer program product comprising a non-transient computer-readable storage device storing instructions, wherein the instructions, when executed by a processor of a computing device, configure the computing device to:

for the vehicle selected for contemplation and for each vehicle of a plurality of alternative vehicles:

calculating a demand forecast describing a predicted level of demand for the vehicle for car-sharing purposes, the demand forecast being calculated based on data provided by the purchase contemplation person,

calculating an expected income for when the purchase contemplation person uses the vehicle for car-sharing purposes, based on the demand forecast, and

calculating the effective price based on a deduction of the expected income from a vehicle price of the vehicle;

identifying, from the plurality of alternative vehicles, an alternative vehicle having an effective price comparable to the effective price of the vehicle selected for contemplation;

extracting model information of the identified alternative vehicle; and

providing the effective prices of the vehicle selected for contemplation and the identified alternative vehicle, and the extracted model information of the identified alternative vehicle, for presentation to the purchase contemplation person.

10. The computer program product according to claim 9 , wherein the calculating the demand forecast includes calculating the demand forecast based on demand during expected periods of availability of the vehicle for car-sharing purposes.

11. The computer program product according to claim 9 , wherein the calculating the demand forecast includes calculating the demand forecast based on demand within a resident area of the purchase contemplation person.

12. The computer program product according to claim 9 , wherein the calculating the demand forecast includes calculating the demand forecast based on a vehicle model of the vehicle.

13. The computer program product according to claim 9 , wherein the calculating the demand forecast includes calculating the demand forecast based on a per-time price when the purchase contemplation person uses the vehicle for car-sharing purposes, the demand forecast being inversely related to the per-time price.

14. The computer program product according to claim 9 , wherein the calculating the demand forecast includes calculating the demand forecast based on an option that is equipped in the vehicle, the demand forecast increasing with the presence of the option.

15. A method for predicting and comparing effective prices of vehicles, for presentation to a purchase contemplation person selecting a vehicle for contemplation, the method comprising:

for the vehicle selected for contemplation and for each vehicle of a plurality of alternative vehicles:

calculating a demand forecast describing a predicted level of demand for the vehicle for car-sharing purposes, the demand forecast being calculated based on data provided by the purchase contemplation person,

calculating an expected income for when the purchase contemplation person uses the vehicle for car-sharing purposes, based on the demand forecast, and

calculating the effective price based on a deduction of the expected income from a vehicle price of the vehicle;

identifying, from the plurality of alternative vehicles, an alternative vehicle having an effective price comparable to the effective price of the vehicle selected for contemplation;

extracting model information of the identified alternative vehicle; and

providing the effective prices of the vehicle selected for contemplation and the identified alternative vehicle, and the extracted model information of the identified alternative vehicle, for presentation to the purchase contemplation person.

16. The method according to claim 15 , wherein the calculating the demand forecast includes calculating the demand forecast based on demand during expected periods of availability of the vehicle for car-sharing purposes.

17. The method according to claim 15 , wherein the calculating the demand forecast includes calculating the demand forecast based on demand within a resident area of the purchase contemplation person.

18. The method according to claim 15 , wherein the calculating the demand forecast includes calculating the demand forecast based on a vehicle model of the vehicle.

19. The method according to claim 15 , wherein the calculating the demand forecast includes calculating the demand forecast based on a per-time price when the purchase contemplation person uses the vehicle for car-sharing purposes, the demand forecast being inversely related to the per-time price.

20. The method according to claim 15 , wherein the calculating the demand forecast includes calculating the demand forecast based on an option that is equipped in the vehicle, the demand forecast increasing with the presence of the option.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 10, 2021
From: JIN, XIN; MURASE, TAKAYUKI; KASHIWAI, TADAHIRO; TAKASHIMA, TORU; HANZAWA, HIROAKI; HASEGAWA, HIDEO
To: TOYOTA JIDOSHA KABUSHIKI KAISHA
Reel/Frame 056182/0407 →
Priority Claims (1)
JP JP2020-069984 · Apr 8, 2020 · national
Continuity (1)
Related Publication 20210319488A1 · Oct 14, 2021