Systems, methods, and devices for dynamic used vehicle marketing, dealer matching, and extended sale period transactions platform

• US 10,127,591 B1
• Filed: 05/14/2018
• Issued: 11/13/2018
• Est. Priority Date: 05/15/2017
• Status: Active Grant

• Current Assignee: Wippy, LLC
• Original Assignee: Wippy, LLC
• Inventors: Wollmer, Bradley James, Clark, Scott David, Baer, Jeffrey Henry
• Primary Examiner(s): Pond, Robert M
• Application Number:
  US15/979,094
• Publication Number:
  US 20180330417A1
• Time in Patent Office: 183 Days
• Field of Search: 705 26, 705 27
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/0603 Catalogue ordering
• CPC Class Codes: G06Q 30/0609 Buyer or seller confidence or verification
• CPC Class Codes: G06Q 30/0619 Neutral agent
• CPC Class Codes: G06Q 30/08 Auctions
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof

Abstract

The disclosure herein provides methods, systems, and devices for marketing and selling used vehicles during an extended sale period and dynamically matching used vehicle dealers to used vehicle transactions. A used vehicle marketing and sales platform allows vehicles to be marketed and sold through a dynamic user interface before its date of availability and/or before auction using a dynamic price listing generation system. The used vehicle marketing and sales platform also matches used vehicle dealers to complete transactions through a dealer matching system in order to provide a physical location for delivery of a used vehicle and to provide fulfillment of the transaction.

Claims

1. An algorithmic-based system for facilitating a sale of a used vehicle to a prospective purchaser during a pre-gray period or gray period, the system comprising:

one or more computer readable storage devices configured to store a plurality of databases comprising;

one or more price databases configured to store historical and/or current market pricing data corresponding to a plurality of completed used vehicle transactions and/or current used vehicle listings;

one or more vehicle profile databases configured to store a plurality of vehicle profiles corresponding to a plurality of vehicles that will become available on an availability date, wherein the availability date is temporally remote from a present date;

one or more purchaser profile databases configured to store a plurality of purchaser profile data, the purchaser profile data comprising one or more of financial data, desired vehicle identification information, and contact information corresponding to a plurality of prospective purchasers;

one or more computer readable storage devices configured to store a plurality of computer executable instructions; and

one or more hardware computer processors in communication with the one or more computer readable storage devices and configured to execute the plurality of computer executable instructions in order to cause the system to;

determine a minimum listing price for a target used vehicle based on a consignor sale price, wherein the consignor sale price is obtained from one or more consignor used vehicle databases;

determine dynamically a market price for the target used vehicle, wherein determining the market price comprises analyzing the historical and/or current market pricing data for one or more of the plurality of completed used vehicle transactions and/or current used vehicle listings for vehicles having analogous characteristics to the target used vehicle;

calculate dynamically, by a vehicle listing price engine, a unique listing price for a prospective purchaser, the vehicle listing price engine configured to dynamically determine a plurality of unique listing prices, each unique listing price of the plurality of listing prices corresponding to each of the plurality of prospective purchasers for each of the plurality of vehicles, wherein the calculation comprises;

analyzing purchaser profile data to determine lower and upper threshold pricing levels for the prospective purchaser;

comparing the present date with the availability date;

based on the comparison of the present date with the availability date, setting the unique listing price above the minimum listing price and below the market price; and

wherein the difference between the unique listing price and the minimum listing price is lower when the present date is relatively temporally remote from the availability date, and the difference between the unique listing price and the minimum listing price is raised incrementally as the current date approaches the availability date; and

transmit electronically a dynamically generated computer notification, the dynamically generated computer notification displayed through a dynamic user interface to the prospective purchaser, wherein the dynamically generated computer notification is configured to activate a remote subscriber computer and to enable connection via a URL over a computer network connection to a data source comprising data about the unique listing price, the dynamic user interface configured to display updated market and pricing information; and

receive, over the computer network connection, an electronic confirmation from the prospective purchaser, wherein the electronic confirmation activates access to data for purchasing the target used vehicle, wherein the data is accessible only by the prospective purchaser.

2. The algorithmic-based system of claim 1, wherein the used vehicle is a passenger automobile.

3. The algorithmic-based-system of claim 1, wherein the transmitting electronically a dynamically generated computer notification is performed by the system during a pre-gray period.

4. The algorithmic-based system of claim 1, wherein the dynamic user interface is further configured to display a graphical representation of used vehicle pricing data as a function of time.

5. The algorithmic-based system of claim 1, wherein the dynamic user interface is further configured to automatically update its display based on newly acquired data and/or user interaction with the system.

6. The algorithmic-based system of claim 1, wherein the vehicle listing price engine is further configured to conduct a normalization process to transform incongruent data structures from the one or more price databases, one or more vehicle profile databases, and one or more purchaser profile databases into a single, unified data structure.

7. The algorithmic-based system of claim 1, further comprising:

one or more dealer databases configured to store a plurality of dealer profiles, the plurality of dealer profiles comprising desired transaction criteria for each of a plurality of dealers; and

a dynamic dealer match engine.

8. The algorithmic-based system of claim 7, wherein the dealer match engine is configured to select one more or more dealers to act as a counterparty in the purchase of the target vehicle.

9. The algorithmic-based system of claim 8, wherein the one or more dealers are selected based on the proximity of the one or more dealers to the prospective purchaser.

10. The algorithmic-based system of claim 7, wherein the dealer match engine is configured to generate dealer match scores to localize, from one or more dealer databases, one or more dealers to act as a counterparty in the purchase of the target vehicle.

11. The algorithmic-based system of claim 10, wherein the one or more hardware computer processors in communication with the one or more computer readable storage devices are further configured to execute the plurality of computer executable instructions in order to cause the algorithmic-based system to:

generate a dealer match score for each of the plurality of dealers, wherein the dealer match score comprises a measure of dealer compatibility with the purchase of the target vehicle, wherein the dealer match score is calculated by processing a plurality of transaction elements and performing a comparative analysis between the plurality of transaction elements and the desired transaction criteria for each of the plurality of dealers;

filter the plurality of dealers based on the generated dealer match score for each of the plurality of dealers to identify a first set of dealers having a generated dealer match score above a predetermined threshold level;

transmit electronically a dynamically generated computer notification to the first set of dealers, the dynamically generated computer notification configured to activate a remote subscriber computer and to enable connection via a URL over a computer network connection to a data source comprising data about the purchase of the target vehicle; and

receive, over the computer network connection, an electronic confirmation from a first dealer in the first set of dealers, wherein the electronic confirmation activates access to data for completing the purchase of the target vehicle, wherein the data is accessible only by the first dealer to activate the electronic confirmation through the computer network connection.

12. The algorithmic-based system of claim 11, wherein the comparative analysis comprises one or more of:

accessing the transaction criteria from the one or more dealer databases;

analyzing, based on a target vehicle transaction price, whether the purchase of the target vehicle will produce a dealer qualifying margin, wherein the dealer qualifying margin comprises a minimum sales margin amount that a dealer will require to act as the counterparty in the purchase of the target vehicle;

accessing, from one or more historical financing databases, historical purchase financing data to determine the probability that the purchase of the target vehicle will require financing by the one or more dealers;

dynamically determining the acceptable level of financing required by the one or more dealers;

processing a subsidiary used vehicle trade-in transaction, the processing comprising dynamically determining whether the subsidiary used vehicle trade-in transaction will alter the unique listing price of the target vehicle;

assessing, from the plurality of transaction elements, the probability that an extended service plan will be included in the purchase of the target vehicle;

determining if the probability that an extended service plan will be included in the purchase of the target vehicle meets a minimum service plan probability threshold required by the one or more dealers; and

evaluating whether the target vehicle constitutes an acceptable type prerequisite for the one or more dealers.

13. The algorithmic-based system of claim 11, wherein the transmitting electronically a dynamically generated computer notification to the first set of dealers is performed by the system during the pre-gray period or gray period.

14. The algorithmic-based system of claim 11, wherein the target vehicle is delivered to the first dealer for pickup by the prospective purchaser.

15. The algorithmic-based system of claim 1, wherein the used vehicle is one of the following:

car, boat, truck, aircraft, motorcycle, bicycle, bus, camper, personal water craft, limousine, locomotive, moped, scooter, rickshaw, sleigh, tank, tractor, and van.

16. The algorithmic-based system of claim 1, wherein the dynamic user interface is further configured to prompt the prospective purchaser to select a dealer to act a as a counterparty in the purchase of the target vehicle.

17. The algorithmic-based system of claim 1, wherein the data source further comprises one or more selectable purchase selections in connection with the purchase of the target vehicle.

18. The algorithmic-based system of claim 1, wherein the one or more hardware computer processors in communication with the one or more computer readable storage devices are further configured to execute the plurality of computer executable instructions in order to cause the system to:

transmit electronically a dynamically generated computer confirmation, the dynamically generated computer confirmation displayed through the dynamic user interface to the prospective purchaser.

19. The algorithmic-based system of claim 1, wherein the target vehicle is selected by the perspective purchaser via a used vehicle search, wherein the used vehicle search is based on one or more search parameters.

20. The algorithmic-based system of claim 19, wherein the search parameters comprise one or more of:

vehicle make, vehicle model, exterior color, interior color, price, body type, mileage, location, age, date of availability, vehicle history, VIN, vehicle type, trim level, transmission type, engine type, fuel type, condition, and user rating.