VALUEpilot - METHOD AND APPARATUS FOR ESTIMATING A VALUE OF A VEHICLE

• US 20100293181A1
• Filed: 05/18/2009
• Published: 11/18/2010
• Est. Priority Date: 05/18/2009
• Status: Abandoned Application

• Current Assignee: Autoonline GmbH Informationssysteme
• Original Assignee: Autoonline GmbH Informationssysteme
• Inventors: Muller, Kai, Kohlmann, Jochen
• Application Number:
  US12/467,574
• Publication Number:
  US 20100293181A1
• Time in Patent Office: Days
• US Class Current: 707/759
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions

Abstract

The present invention relates to a method for generating an estimated value of a car, comprising the steps of receiving a user query specifying at least the type of a car; providing a database which comprises datasets having a car specification dataset specifying at least the type of the car and a car value field assigned to the respective car specification dataset representing the reference value of the car specified in the car specification dataset; searching in the database to find one or more datasets matching the user query; and calculating the estimated value of the car using the car value fields of the found datasets.

Claims

1. A method for generating an estimated value of a car, comprising the steps of:

a) receiving a user query specifying at least the type of a car;

b) providing a database which comprises datasets having a car specification dataset specifying at least the type of the car and a car value field assigned to the respective car specification dataset representing the reference value of the car specified in the car specification dataset;

c) searching in the database to find one or more datasets matching the user query; and

d) calculating the estimated value of the car using the car value fields of the found datasets.

2. A method for generating an estimated value of a car according to claim 1, wherein the car specification dataset comprises at least one of the fields of make, model, age, vehicle type, fuel, displacement, odometer, engine power, and geo-graphical area.

3. A method for generating an estimated value of a car according to claim 1, wherein step d) of calculating comprises the following steps:

d1) obtaining a dataset of a car after performing the step of searching;

d2) entering the dataset at an input data interface of a mapping model;

d3) evaluating the estimated value of the car at an output data interface of the mapping model.

4. A method for generating an estimated value of a car according to claim 1, wherein the step of calculating comprises the calculation of an average value or weighted average value of the car value fields of the cars of the found datasets.

5. A method for generating an estimated value of a car according to claim 1, wherein the step of calculation comprises adding one or more predefined values specifying the value of supplementary features related to the user query to the estimated reference value.

6. A method for generating an estimated value of a car according to claim 5, wherein the predefined values specifying the value of supplementary features are determined from the average values of supplementary features.

7. A method for generating an estimated value of a car according claim 6, wherein the supplementary features comprise at least one of air condition, park distance control, ABS and all-wheel drive.

8. A method for generating an estimated value of a car according to claim 1, wherein the step of searching comprises a full-text search.

9. A method for generating an estimated value of a car according to claim 1, wherein the step of searching comprises entering into the data base a standardised string value pointing to the car specification dataset.

10. A method for generating an estimated value of a car according to one of the claims 8 or 9, wherein the step of searching comprises an iterative refinement of the car specification dataset.

11. A method for generating an estimated value of a car according to claim 1, wherein the car is an accident damaged car and the dataset comprises spares data and spares values related to the car as well as labor data and labor value related to repairing the damaged car, and wherein after completion of step d) the following step is performed:

e) subtracting from the car reference value the spares value and the labor value and adding one or more predefined values specifying the value of supplementary features related to the user query.

12. A method for generating an estimated value of a car according to claim 1, wherein after completion of step d) the following steps are performed:

f) detecting a car which is to be evaluated whose car specification dataset is not included in the database;

g) calculating a virtual value of the car from datasets of similar cars.

13. A method for generating and maintaining a database, comprising the steps of:

k) receiving an input obtained from valuation systems, preferably car survey reports or car auctions;

l) dividing the input into a car specification dataset specifying the type of car, a car value field assigned to the respective car specification dataset representing the market value of the car and optional supplementary data specifying the supplementary features of the car;

m) obtaining predefined values specifying the value of supplementary features of the car in the dataset;

n) calculating the reference value of the car specified in the dataset by subtracting the value of the supplementary features of the dataset from the market value of the car of the dataset; and

o) storing the car specification dataset together with the calculated reference value of the car in the database.

14. A method for generating and maintaining a database according to claim 13, wherein after completion of step o) storing the following step is performed:

p) storing supplementary data specifying the supplementary features and the values of supplementary features in the database.

15. A method for generating and maintaining a database according to claim 14, wherein the car auctions are public or non public or a combination thereof.

16. A method for generating and maintaining a database according to claim 15, wherein after completion of step p) storing the following steps are performed:

q) obtaining repair data specifying spares data, spares values, labor data, labor values;

r) storing the repair data in the database.

17. A method for generating and maintaining a database according claim 16, wherein the car is an accident damaged car and wherein after completion of step r) the following step is performed:

s) calculating a car reference value by adding to the value of the accident damaged car the spares value and the labor value and by subtracting the value of the supplementary features of the dataset which are not damaged.

18. A method for generating and maintaining a database according to claim 17, wherein the database is a relational database or a fuzzy database.

19. A method for generating and maintaining a database according to claim 18, wherein the following step is performed:

t) determining a mapping model which establishes a mapping of the car specification dataset on the car value to be estimated, wherein the mapping model comprises an input data interface, an output data interface and a set of adaptive model parameters.

20. A method for generating and maintaining a database according to claim 19, wherein determining the mapping model is performed by adapting the model parameters to obtain an optimized matching between the car specification dataset entered at the input data interface and the car value entered at the output data interface.

21. A method for generating and maintaining a database according to claim 20, wherein the mapping model comprises a fuzzy data network or a neural network or a hybrid fuzzy-neural network.

22. System for generating an estimated value of a car comprising:

a database for storing datasets comprising at least;

a car specification dataset specifying at least the type of the car;

a car value field assigned to the respective car specification dataset representing the reference value of the car specified in the car specification dataset;

a car value estimating program being configured to;

receive a user query;

search in the database for one or more datasets matching the user query;

calculate an estimated reference value of the car using the car value fields of the matching datasets.

23. System for maintaining a database comprising:

a database for storing datasets comprising at least;

a car specification dataset specifying at least the type of the car;

a car value field assigned to the respective car specification dataset representing the market value of the car; and

supplementary data specifying the supplementary features of a car;

a database maintenance program being configured to;

receive an input obtained from valuation systems, preferably car survey reports or car auctions;

obtain predefined values specifying the value of supplementary features of the car in the dataset;

calculate the reference value of the car specified in the dataset by subtracting the value of the supplementary features of the dataset from the market value of the car of the dataset; and

store the car specification dataset together with the calculated reference value of the car in the database.