System and Method for Insurance Underwriting and Rating

• US 20150213559A1
• Filed: 04/09/2015
• Published: 07/30/2015
• Est. Priority Date: 04/20/2007
• Status: Abandoned Application

• Current Assignee: CARFAX Incorporated (S&P Global Inc.)
• Original Assignee: CARFAX Incorporated (S&P Global Inc.)
• Inventors: Raines, Richard T., Nesson, Eric J., Lackey, David Allen, Fritts, Travis, Bush, Ian
• Application Number:
  US14/682,473
• Publication Number:
  US 20150213559A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/0278 Product appraisal
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

An apparatus and method for underwriting and/or rating an insurance policy, and for generating information for underwriting and/or rating an insurance policy, are provided. The system and method may include identifying a vehicle, determining a value of at least one vehicle history data variable or a group of variables, and underwriting and/or rating the policy based on the value of the at least one vehicle history data variable or a group of variables. The system and method may also include generating a score based on the value of the at least one vehicle history data variable or group of variables.

Claims

1. A method of underwriting an insurance policy comprising:

identifying a vehicle;

forming at least one data grouping including at least one vehicle history data variable of the identified vehicle;

processing the at least one vehicle history data variable of the at least one data grouping;

determining an overall value of said at least one data grouping; and

underwriting an insurance policy for the identified vehicle based on said overall value of the at least one data grouping.

2. The method of claim 1, further comprising:

rating the insurance policy for the identified vehicle based on said overall value of said at least one data grouping.

3. The method of claim 2, wherein said at least one data grouping includes a plurality of data groupings, said method further comprising generating a score based upon an overall value of each of the plurality of data groupings and rating the policy based on the score.

4. The method of claim 1, wherein the step of determining an overall value is based on whether a vehicle possesses or does not possess a characteristic of at least some of said at least one vehicle history data variable.

5. The method of claim 1, wherein the at least one data grouping includes at least one of:

a Severe Problem data grouping;

a Potential Damage data grouping;

a Ownership History data grouping;

a Ownership Type data grouping;

a Annual Mileage data grouping; and

a Potential Fraud data grouping.

6. The method of claim 1, further comprising:

generating a score based upon the overall value of each of a plurality of data groupings;

wherein said underwriting step comprises underwriting an insurance policy for the selected vehicle based on the score; and

wherein the plurality of data groupings is included in the at least one data grouping.

7. The method of claim 1, wherein the vehicle history data variables include at least one of:

Air Bag Deployed;

Abandoned;

Canadian Total Loss;

Commercial Vehicle;

Corporate Fleet Crash Test Vehicle;

Curbstoning Advisory;

Damage Disclosure;

Dismantled;

Duplicate Title Issued;

Emissions Test;

Estimated Current Mileage;

Exceeds Mechanical Limits;

Exported Vehicle;

Flood Advisory;

Flood Damaged;

Fire;

Fire Damage;

Frame Inspection;

Grey Market Vehicle;

Gross Polluter;

Hail Damaged;

Inconsistent Odometer Reading;

Imported Vehicle;

Junk;

Last Owner—

First Odometer Reading;

Last Owner—

First Odometer Reading Date;

Last Owner—

Last Odometer Reading;

Last Owner—

Last Odometer Reading Date;

Last Owner—

Average Annual Mileage;

Last Owner—

Recent Annual Mileage;

Last Owner—

Last 12 Months Average Annual Mileage;

Last Owner—

Last 24 Months Average Annual Mileage;

Last Owner—

Last 36 Months Average Annual Mileage;

Last Owner Length of Ownership;

Last Owner Lien Reported;

Lease Vehicle;

Manufacturer Buyback (Lemon);

Not Actual Mileage;

Number of Owners;

Number of Owners Footnote;

Odometer Problem Flag;

Odometer Rollover;

Personal;

Police Accident Report;

Police Accident Report—

Severe Damage;

Police Vehicle;

Potential Damage Flag;

Potential Odometer Problem;

Rebuilt Title Brand;

Reconstructed Title Brand;

Recycle Vehicle;

Rental Vehicle;

Reported as Stolen;

Repossessed;

Safety Inspection Failed;

Salvaged Auction;

Severe Accident Flag;

Stolen Vehicle Flag;

Reported Stolen;

Theft Recovery;

Insurance Total Loss;

Taxi Vehicle;

Verified Odometer Rollback; and

VIN Cloning Advisory.

8. The method of claim 1, wherein said forming step comprises deriving a vehicle history data variable for at least one of:

Number of Owners;

Duplicate Title Issued;

Estimated Current Mileage;

Flood Advisory;

Gray Market Vehicle Last Owner—

Annual Mileage;

Last Owner—

Recent Annual Mileage;

Last Owner—

Length of Ownership;

Potential Damage Flag;

Severe Accident Flag; and

Insurance Total Loss.

9. A method of rating an insurance policy comprising:

identifying a vehicle;

forming at least one data grouping including of least one vehicle history data variable of the identified vehicle;

processing the at least one vehicle history data variable of the at least one data grouping;

determining an overall value of said at least one data grouping; and

rating an insurance policy for the identified vehicle based on said overall value of the at least one data grouping.

10. The method of claim 9, wherein the similarity of vehicle history data variables within a data grouping includes being similar in at least one of type and loss ratio value.

11. The method of claim 9, wherein the overall value is indicative of the likelihood of incurring future vehicle repair costs.

12. The method of claim 9, further comprising:

generating a score based upon an overall value of each of a plurality of data groupings;

wherein said rating step comprises rating the policy based on the score; and

wherein the plurality of data groupings is included in the at least one data grouping.

13. The method of claim 12, wherein said score is calculated based on a weighted combination of overall values of said plurality of data groupings.

14. The method of claim 13, wherein said score is the sum of weighted overall values of each of said plurality of data groupings represented as a mathematical equation.

15. A method of determining insurability of a vehicle comprising:

identifying a vehicle;

forming at least one data grouping including at least one vehicle history data variable of the identified vehicle;

processing the at least one vehicle history data variable of the at least one data grouping;

determining an overall value of said at least one data grouping; and

calculating insurability of the identified vehicle based on said overall value of the at least one data grouping.

16. The method of claim 15, wherein said at least one data grouping includes a plurality of data groupings, said method further comprising generating a score based upon an overall value of each of the plurality of data groupings and calculating insurability of the identified vehicle based on the score.

17. The method of claim 16, wherein said score is calculated based on a weighted combination of overall values of said plurality of data groupings.

18. The method of claim 17, wherein said score is the sum of weighted overall values of each of said plurality of data groupings represented as a mathematical equation.

19. The method of claim 15, wherein the overall value is indicative of the likelihood of incurring future vehicle repair costs.

20. The method of claim 16, wherein the score is characterized as at least one of one of a number, mark, symbol, and color.