AUTOMOTIVE MARKET PLACE SYSTEM

• US 20100299190A1
• Filed: 05/20/2010
• Published: 11/25/2010
• Est. Priority Date: 05/20/2009
• Status: Abandoned Application

• Current Assignee: Chug, Inc.
• Original Assignee: Chug, Inc.
• Inventors: Pratt, Tim, Vucic, Rob, Mulholland, Iain, Dowling, Timothy G., Short, Len
• Application Number:
  US12/784,401
• Publication Number:
  US 20100299190A1
• Time in Patent Office: Days
• US Class Current: 705/14.4
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

A method for ranking vehicles for sale, the method comprising (1) providing a first database of available vehicles, (2) creating a second database of similar vehicles by identifying vehicles in the first database that are similar to a subject vehicle, and (3) creating a third database of ranked vehicles by determining a vehicle rank score of each of the vehicles in the second database, wherein determining a vehicle rank score of a vehicle comprises (a) calculating a base score of the vehicle, (b) calculating a multiplier of the vehicle, and (c) determining the vehicle rank score of the vehicle by multiplying the base rank by the multiplier.

Claims

1. A method for providing a purchase recommendation for a subject vehicle to a purchaser, the method comprising:

providing a first database of available vehicles;

creating a second database of similar vehicles by identifying vehicles in the first database that are similar to the subject vehicle;

assigning each of a plurality of vehicles in the second database to one of a plurality of comparable vehicle bands;

assigning an average offer price to each of the plurality of comparable vehicle bands;

assigning the subject vehicle to one of the plurality of comparable vehicle bands; and

providing the purchase recommendation for the subject vehicle by comparing the offer price of the subject vehicle with the average offer price of the subject vehicle'"'"'s comparable band.

2. The method of claim 1, wherein providing the purchase recommendation further comprises:

providing a good price recommendation if the offer price of the subject vehicle is within 95-100% of the average offer price of the subject vehicle'"'"'s comparable band; and

providing a great price recommendation if the offer price of the subject vehicle is less than or equal to 95% of the average offer price of the subject vehicle'"'"'s comparable band.

3. The method of claim 1, wherein the first database of vehicles further comprises:

configuration parameters for the available vehicles comprising make, model, year, exterior color, interior color, standard equipment, optional equipment, and original MSRP; and

history parameters for each vehicle comprising number of miles, number of accidents, and condition of each vehicle.

4. The method of claim 3, wherein the plurality of vehicle bands comprises first, second, and third comparable vehicle bands and wherein the first comparable band of vehicles comprises vehicles in the second database which have less than a first number of miles driven, the second comparable band of vehicles comprises vehicles in the second database which have between the first number and a second number of miles driven, and the third comparable band of vehicles comprises vehicles in the second database which have more than the second number of miles driven.

5. The method of claim 3, wherein the plurality of vehicle bands comprises first and second comparable vehicle bands and wherein the first comparable band of vehicles comprises vehicles in the second database which have no accidents and the second comparable band of vehicles comprises vehicles in the second database which one accident.

6. The method of claim 3, wherein creating the second database of similar vehicles further comprises identifying vehicles which are the same manufacturer, model, and year as the subject vehicle.

7. The method of claim 1, further comprising providing a communications platform operable to facilitate purchaser-dealer communication.

8. The method of claim 7, further comprising providing a purchaser interface operable to facilitate entry of search parameters and display a universal digital vehicle sticker.

9. The method of claim 7, further comprising providing a dealer interface operable to provide an interface for purchasing and tracking advertisements, facilitate dealer-entry of pricing and inventory updates, display a universal digital vehicle sticker, and provide a dealer communications interface associated with the communications platform.

10. A method for ranking vehicles for sale, the method comprising:

providing a first database of available vehicles;

creating a second database of similar vehicles by identifying vehicles in the first database that are similar to a subject vehicle;

creating a third database of ranked vehicles by determining a vehicle rank score of each of the vehicles in the second database, wherein determining a vehicle rank score of a vehicle comprises;

calculating a base score of the vehicle;

calculating a multiplier of the vehicle; and

determining the vehicle rank score of the vehicle by multiplying the base rank by the multiplier.

11. The method of claim 10, wherein the first database of vehicles further comprises:

configuration parameters for the available vehicles comprising make, model, year, exterior color, interior color, standard equipment, optional equipment, and original MSRP; and

history parameters for each vehicle comprising number of miles, number of accidents, and condition of each vehicle.

12. The method of claim 11, wherein calculating a base score of a vehicle comprises calculating a base score for the vehicle based on a plurality of the vehicle'"'"'s configuration parameters and history parameters.

13. The method of claim 12, wherein calculating a base score of a vehicle further comprises summing each of the base scores for the plurality of the vehicle'"'"'s configuration parameters and history parameter.

14. The method of claim 12, wherein calculating the multiplier of the vehicle comprises:

assigning each of the vehicles in the second database to one of a first, second, third, and fourth quarter percentile of vehicles, wherein the first quarter percentile of vehicles comprises vehicles in the 75-100% percentile of vehicle base score for vehicles in the second database, the second quarter percentile of vehicles comprises vehicles in the 50-75% percentile of vehicle base score for vehicles in the second database, the third quarter percentile of vehicles comprises vehicles in the 25-75% percentile of vehicle base score for vehicles in the second database, and the fourth quarter percentile of vehicles comprises vehicles in the 0-25% percentile of vehicle base score for vehicles in the second database;

calculating the average price of the vehicle'"'"'s base score quarter percentile; and

calculating the vehicle'"'"'s multiplier by dividing the average price of the vehicle'"'"'s quarter percentile by an asking price of the vehicle.

15. The method of claim 10, wherein creating the second database of similar vehicles further comprises identifying vehicles which are the same manufacturer, model, and year as the subject vehicle.

16. The method of claim 10, further comprising displaying the top-ranked vehicles to a user.

17. A computer readable medium containing executable instructions that when executed perform a method of ranking vehicles for sale, the method comprising:

providing a first database of available vehicles;

creating a second database of similar vehicles by identifying vehicles in the first database that are similar to a subject vehicle;

creating a third database of ranked vehicles by determining a vehicle rank score of each of the vehicles in the second database, wherein determining a vehicle rank score of a vehicle comprises;

calculating a base score of the vehicle;

calculating a multiplier of the vehicle; and

determining the vehicle rank score of the vehicle by multiplying the base rank by the multiplier.

18. The computer-readable medium of claim 17, wherein the first database of vehicles further comprises:

configuration parameters for the available vehicles comprising make, model, year, exterior color, interior color, standard equipment, optional equipment, and original MSRP; and

history parameters for each vehicle comprising number of miles, number of accidents, and condition of each vehicle.

19. The computer-readable medium of claim 18, wherein calculating a base score of a vehicle comprises calculating a base score for the vehicle based on a plurality of the vehicle'"'"'s configuration parameters and history parameters.

20. The computer-readable medium of claim 17, further comprising displaying the top-ranked vehicles to a user.