SYSTEM AND METHOD FOR CALCULATING AN INSURANCE PREMIUM BASED ON INITIAL CONSUMER INFORMATION

• US 20130066656A1
• Filed: 09/12/2011
• Published: 03/14/2013
• Est. Priority Date: 09/12/2011
• Status: Abandoned Application

• Current Assignee: Hartford Fire Insurance Company (The Hartford Financial Services Group, Inc.)
• Original Assignee: Hartford Fire Insurance Company (The Hartford Financial Services Group, Inc.)
• Inventors: Hanson, Laura O'Connor, Ignatowicz, Brian Michael
• Application Number:
  US13/230,141
• Publication Number:
  US 20130066656A1
• Time in Patent Office: Days
• US Class Current: 705/4
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

According to some embodiments, initial consumer information may be received from a remote consumer device associated with a potential consumer. For example, the potential consumer might provide his or her name and address via a web page. According to some embodiments, the initial consumer information does not include vehicle information. Responsive to the initial consumer information, supplemental information may be automatically requested from a third-party data source. The supplemental information, including vehicle information associated with the potential consumer, may then be received from the third-party data source. An automobile insurance premium may then be calculated for the potential consumer based at least in part on the supplemental information. At least one potentially binding insurance quote may then be transmitted to the remote consumer device based on the calculated automobile insurance premium.

Claims

1. A system associated with an insurance enterprise, comprising:

a communication device to receive information from a remote consumer device associated with a potential consumer;

a computer processor for executing program instructions; and

a memory, coupled to the computer processor, for the storing program instructions for execution by the computer processor to;

receive, from the remote consumer device, initial consumer information;

based on the received initial consumer information, request supplemental information from a third-party data source;

receive the supplemental information from the third-party data source;

automatically determine whether;

(i) the initial consumer information can be strongly correlated with supplemental information, or (ii) the initial consumer information can only be weakly correlated with the supplemental information;

when it is determined that the initial consumer information can be strongly correlated with the supplemental information;

calculate an insurance premium for the potential consumer based at least in part on the supplemental information, and

transmit, to the remote consumer device, a potentially binding insurance quote based on the calculated insurance premium; and

when it is determined that the initial consumer information can only be weakly correlated with the supplemental information;

calculate an approximate insurance premium for the potential consumer, and

transmit, to the remote consumer device, a non-binding ballpark insurance quote based on the approximate insurance premium.

2. The system of claim 1, the memory further stores program instructions for execution by the computer processor to:

automatically determine whether;

(iii) the initial consumer information cannot be automatically correlated with supplemental information at all.

3. The system of claim 1, wherein the initial consumer information comprises at least one of:

(i) an Internet protocol address, (ii) a machine address, or (iii) a locally stored Internet browser cookie file.

4. The system of claim 1, wherein the automatic determination is performed based at least in part on a weighted scoring algorithm.

5. The system of claim 1, wherein the automatic determination is performed based at least in part on a business rule and a threshold value.

6. The system of claim 1, wherein the automatic determination is performed based at least in part on a predictive model.

7. A method associated with an insurance enterprise, comprising:

receiving, from a remote consumer device associated with a potential consumer, initial consumer information, wherein the initial consumer information does not include vehicle information;

responsive to said initial consumer information, automatically requesting, by a computer processor, supplemental information from a third-party data source, wherein the request includes the initial consumer information;

receiving the supplemental information from the third-party data source, the supplemental information including vehicle information associated with the potential consumer;

automatically calculating, by the computer processor, an automobile insurance premium for the potential consumer based at least in part on the supplemental information; and

transmitting at least one potentially binding insurance quote from the computer processor to the remote consumer device based on the calculated automobile insurance premium.

8. The method of claim 7, wherein the initial consumer information includes at least two of:

(i) a name, (ii) an address, (iii) a ZIP code, (iv) at least a portion of a Social Security number, or (v) a date of birth.

9. The method of claim 7, wherein the supplemental information includes at least one of:

(i) a Vehicle Identification Number, (ii) a number of vehicles, (iii) insurance information, (iv) violation information, (v) accident information, (vi) loss information, (vii) information about other drivers associated with the potential consumer, (viii) credit score information, or (ix) income information.

10. The method of claim 7, wherein the third-party data source is associated with at least one of;

(i) a governmental department of motor vehicles, (ii) a credit rating agency, (iii) a tax agency, (iv) a data aggregator, or (v) municipal records.

11. The method of claim 7, wherein the automobile insurance premium is further calculated based on at least one of:

(i) an affiliation between the potential consumer and a group, or (ii) another insurance policy associated with the potential consumer.

12. The method of claim 7, further comprising:

automatically determining whether the supplemental information is to be received from the third-party data source or the remote consumer device.

13. The method of claim 9, wherein said determination is based at least in part on an affiliation between the potential consumer and a group.

14. The method of claim 13, wherein said determination is based at least in part on the behavior of other potential consumers.

15. The method of claim 7, further comprising:

facilitating an acceptance of the binding insurance quote by the consumer via the remote consumer device, and

issuing an automobile insurance policy to the consumer.

16. The method of claim 7, wherein the remote consumer device comprises at least one of:

(i) a personal computer, (ii) a laptop computer, (iii) a hand-held computer, (iv) a wireless device, (v) a smartphone, (vi) a set-top box, or (vii) a kiosk.

17. The method of claim 7, wherein the supplemental information is pre-populated in fields of an insurance application form displayed on the remote consumer device.

18. The method of claim 17, further comprising:

receiving from the consumer a validation of the pre-populated fields.

19. The method of claim 17, further comprising:

receiving from the consumer an adjustment of at least one of the pre-populated fields;

responsive to the adjustment, automatically calculating a modified automobile insurance premium for the potential consumer, and

transmitting, via said communication device, a modified potentially binding insurance quote to the remote consumer device based on the modified automobile insurance premium.

20. The method of claim 7, wherein at least some of the supplemental information is determined based on profile information associated with at least one of:

(i) Facebook, (ii) Twitter, (iii) LinkedIn, (iv) Foursquare, (v) tumblr, (vi) YouTube, (vii) flickr, (viii) digg, (ix) last fm, (x) upcoming, (xi) mybloglog, (xii) slideshare, (xiii) MySpace, (xiv) Pandora, or (xv) a third party service associated with a plurality of social networks.

21. A non-transitory computer-readable medium storing instructions adapted to be executed by a computer processor to perform a method, said method comprising:

receiving, from a remote consumer device associated with a potential consumer, initial consumer information, wherein the initial consumer information does not include vehicle information;

responsive to said initial consumer information, automatically requesting supplemental information from a third-party data source, the request including the initial consumer information;

receiving the supplemental information from the third-party data source, the supplemental information including vehicle information associated with the potential consumer;

automatically determining whether;

(i) the initial consumer information can be strongly correlated with supplemental information, or (ii) the initial consumer information can only be weakly correlated with the supplemental information;

when it is determined that the initial consumer information can be strongly correlated with the supplemental information;

automatically calculating an automobile insurance premium for the potential consumer based at least in part on the supplemental information, and

transmitting, to the remote consumer device, at least one potentially binding insurance quote based on the calculated automobile insurance premium; and

when it is determined that the initial consumer information can only be weakly correlated with the supplemental information;

automatically calculating an approximate insurance premium for the potential consumer, and

transmitting, to the remote consumer device, a non-binding ballpark insurance quote based on the approximate insurance premium.

22. The medium of claim 21, wherein the initial consumer information includes at least one of:

(i) a name, (ii) an address, (iii) a ZIP code, (iv) at least a portion of a Social Security number, or (v) a date of birth.

23. The medium of claim 21, wherein the supplemental information includes at least one of:

(i) a Vehicle Identification Number, (ii) a number of vehicles, (iii) insurance information, (iv) violation information, (v) accident information, (vi) loss information, (vii) information about other drivers associated with the potential consumer, (viii) credit score information, or (ix) income information.