SYSTEMS AND METHODS FOR GENERATING VEHICLE INSURANCE PREMIUM QUOTES BASED ON A VEHICLE HISTORY

• US 20130073321A1
• Filed: 08/17/2012
• Published: 03/21/2013
• Est. Priority Date: 08/17/2011
• Status: Abandoned Application

• Current Assignee: TransUnion LLC (TransUnion Corporation)
• Original Assignee: TransUnion LLC (TransUnion Corporation)
• Inventors: Hofmann, Glenn, Maydak, Christopher, Pichon, Adam, Reynolds, Jeffrey
• Application Number:
  US13/589,033
• Publication Number:
  US 20130073321A1
• Time in Patent Office: Days
• US Class Current: 705/4
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

A method is provided for generating an insurance premium quote for a consumer seeking insurance coverage for a vehicle. The method determines a vehicle score indicative of a likelihood of a future auto insurance claim for the vehicle, wherein the vehicle score is based on both VIN based data and historical data of the vehicle. The method determines an insurance score for the consumer, based on at least one of a credit score, a driving record and a claim record. The method further generates the insurance premium quote based on the determined vehicle score and the insurance score.

Claims

1. A method for generating an insurance premium quote for a consumer seeking insurance coverage for a vehicle using a computer, comprising:

determining at the computer a vehicle history score indicative of a likelihood of a future auto insurance claim for the vehicle, wherein the vehicle score is based on both VIN based data and historical data of the vehicle;

determining at the computer an insurance score for the consumer, based on at least one of a credit score, a driving record and a claim record; and

generating at the computer the insurance premium quote based on the determined vehicle score and the insurance score.

2. The method of claim 1 wherein the VIN based data comprises at least one of make, model, year, sub-model information, weight and dimensions, horsepower, engine characteristics, and riskiness of the vehicle type.

3. The method of claim 1 wherein the historical data comprises at least one of title and registration information, DMV records, auction and sale records, accident information, mileage information, ownership information, and recall information.

4. The method of claim 1 wherein the vehicle history score is generated using a plurality of the following evaluation variables:

number of previous owners, length of recent ownership, accident or damage indicators, commercial use indicators, fleet/rental status indicators, odometer problem indicators, stolen vehicle indicators, and vehicle component failure indicators.

5. The method of claim 4 wherein the vehicle history score is generated by assigning a weight to each evaluation variable.

6. The method of claim 5 wherein the weights assigned to the evaluation variables sums to 100.

7. The method of claim 1 further comprising the step of determining a base vehicle pricing for the vehicle.

8. The method of claim 7 wherein the base vehicle pricing is determined using multivariate data analysis of a large and diverse vehicle dataset.

9. The method of claim 1 further comprising the step of generating a standalone vehicle history for the vehicle.

10. The method of claim 9 wherein the standalone vehicle history is derived from the historical data of the vehicle.

11. A non-transitory computer readable medium comprising:

a first code segment configured to determine a vehicle history score indicative of a likelihood of a future auto insurance claim for a vehicle, wherein the vehicle score is based on both VIN based data and historical data of the vehicle;

a second code segment configured to determine an insurance score for the vehicle'"'"'s owner, based on at least one of a credit score, a driving record and a claim record; and

a third code segment configured to generate an insurance premium quote for the owner based on the determined vehicle score and the insurance score.

12. The method of claim 11 wherein the VIN based data comprises at least one of make, model, year, sub-model information, weight and dimensions, horsepower, engine characteristics, and riskiness of the vehicle type.

13. The method of claim 11 wherein the historical data comprises at least one of title and registration information, DMV records, auction and sale records, accident information, mileage information, ownership information, and recall information.

14. The method of claim 11 wherein the vehicle history score is generated using a plurality of the following evaluation variables:

number of previous owners, length of recent ownership, accident or damage indicators, commercial use indicators, fleet/rental status indicators, odometer problem indicators, stolen vehicle indicators, and vehicle component failure indicators.

15. The method of claim 14 wherein the vehicle history score is generated by assigning a weight to each evaluation variable.

16. The method of claim 15 wherein the sum of the weights assigned to the evaluation variables is 100.

17. The method of claim 11 further comprising a fourth code segment configured to determine a base vehicle pricing for the vehicle.

18. The method of claim 17 wherein the base vehicle pricing is determined using multivariate data analysis of a large and diverse vehicle dataset.

19. The method of claim 11 further comprising a fifth code segment configured to generate a standalone vehicle history for the vehicle.

20. The method of claim 19 wherein the standalone vehicle history is derived from the historical data of the vehicle.

21. A system for generating an insurance premium quote for a consumer seeking insurance coverage for a vehicle, comprising:

a processor; and

a memory configured to receive data from at least one remote source;

wherein the memory is configured to determine a vehicle history score indicative of a likelihood of a future auto insurance claim for the vehicle, based on both VIN based data and historical data of the vehicle;

determine an insurance score for the consumer, based on at least one of a credit score, a driving record and a claim record; and

generate the insurance premium quote based on the determined vehicle score and the insurance score.