Systems and methods to intelligently determine insurance information based on identified businesses

• US 9,349,146 B2
• Filed: 02/02/2012
• Issued: 05/24/2016
• Est. Priority Date: 12/01/2011
• Status: Active Grant

• 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: Peak, David F., Vasagiri, Anil
• Primary Examiner(s): Poinvil, Frantzy
• Application Number:
  US13/364,733
• Publication Number:
  US 20130144656A1
• Time in Patent Office: 1,573 Days
• Field of Search: 705 3- 44
• US Class Current: 1/1
• CPC Class Codes: G06K 19/06037 multi-dimensional coding
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal

Abstract

According to some embodiments, historic transaction data and loss data may be received from a data storage device. Information about a potential business insurance customer may also be received and automatically analyzed to identify a set of related businesses. A coverage comparison engine may then determine insurance information for the potential business insurance customer based at least in part on historic transaction data and loss data associated with the set of related businesses.

Claims

1. A computer system for processing third party computer system data and geographic data, comprising:

a data storage device storing data associated with historic transaction data and loss data;

a communication device configured to receive data comprising at least business entity data, comprising geographic data, and dynamically updated data from social networking sites and to output the received data;

an estimator device configured to receive data about the business entity from the communication device and to, responsive to receipt of the information about the business entity automatically determine based on the received information about the business entity an estimate of a number of employees associated with the business entity;

a data weighting device configured to;

apply weighting factors to the received information including a first weighting factor to received information from social networking sites indicative of at least a threshold number of social networking posts being made from business locations associated with the business entity and a second weighting factor to received information from social networking sites indicative of less than the threshold number of social networking posts being made from business locations associated with the business entity, wherein the first weighting factor is higher than the second weighting factor; and

a comparison engine configured to receive weighted data from the data weighting device and apply one or more predictive models, trained on the historic transaction data and loss data, to the weighted received information and the estimated number of employees to determine insurance information for the business entity

the communication device being further configured to output to a computer monitor the determined insurance information for the potential business customer.

2. The system of claim 1, wherein the determined insurance information includes an estimated amount of risk.

3. The system of claim 1, wherein the estimator device is further configured to estimate one or more of a sales value, a total payroll value, job titles associated with employees, benefits associated with the employees, a property value, or a type of industry of the business entity based on the received information.

4. A computer system for processing third party computer system data and geographic data, comprising:

a data storage device storing data associated with historic transaction data and loss data;

a communication device configured to receive data comprising at least business entity data, comprising geographic data, and dynamically updated data from social networking sites and to output the received data;

an estimator device configured to receive data about the business entity from the communication device and to, responsive to receipt of the information about the business entity, automatically determine an estimate of a number of employees associated with the business entity;

a data weighting device configured to;

apply weighting factors to the received information including applying a first weighting factor to received information from social networking sites indicative of the business entity having a reputation on the social networking sites of at least a threshold level and applying a second weighting factor to received information from social networking sites indicative of the business entity having a reputation on the social networking sites less than the threshold level, wherein the first weighting factor is higher than the second weighting factor; and

a comparison engine configured to receive weighted data from the data weighting device and apply one or more predictive models, trained on the historic transaction data and loss data, to the weighted received information and the estimated number of employees to determine insurance information for the business entity; and

the communication device being further configured to output to a computer monitor the determined insurance information.

5. The system of claim 4, wherein the insurance information determined for the business entity includes an estimated amount of risk.

6. The system of claim 4, wherein the estimator device is further configured to estimate one or more of a sales value, a total payroll value, job titles associated with employees, benefits associated with the employees, a property value, and a type of industry of the business entity based on the received information.

7. A computer system for processing third party computer system data and stored transaction data, comprising:

a data storage device storing data associated with historic transaction data and loss data;

a communication device configured to receive data comprising at least business entity data, comprising geographic data, and dynamically updated data from social networking sites and to output the received data;

an estimator device configured to receive data about the business entity from the communication device and to, responsive to receipt of the information about the business entity;

automatically determine based on the received information about the business entity an estimate of a number of employees associated with the business entity;

a data weighting device configured to;

apply weighting factors to the received information including applying a first weighting factor to received information indicative of the business entity having at least a threshold number of previous transactions processed by an insurance entity computer system and a second weighting factor to received information indicative of the business entity having less than a threshold number of previous transactions processed by the insurance entity computer system, wherein the first weighting factor is higher than the second weighting factor; and

a comparison engine configured to receive weighted data from the data weighting device and apply one or more predictive models, trained on the historic transaction data and loss data, to the weighted received information and the estimated number of employees to;

determine insurance information for the business entity

the communication device being further configured to output to a computer monitor the determined insurance information.

8. The system of claim 7, wherein the insurance information determined for the business entity includes an estimated amount of risk.

9. The system of claim 7, wherein the estimator device is further configured to estimate one or more of a sales value, a total payroll value, job titles associated with employees, benefits associated with the employees, a property value, and a type of industry of the business entity based on the received information.

10. A computer-implemented method for processing third party computer system data and geographic data, comprising:

receiving by a computer processor historic transaction data and loss data from a data storage device;

receiving by a communication device in communication with the computer processor information about a business entity from a communications interface including geographic information;

receiving, by an estimator device, from the communication device, information about the business entity, and, responsive to receipt of the information about the business entity;

automatically determining by the estimator device based on the received information about the potential small commercial insurance customer an estimated number of employees associated with the business entity;

by a data weighting device, applying weighting factors to the received information including applying a first weighting factor to received information from social networking sites indicative of at least a threshold number of social networking posts being made from business locations associated with the business entity and applying a second weighting factor to received information from social networking sites indicative of less than the threshold number of social networking posts being made from business locations associated with the business entity, wherein the first weighting factor is higher than the second weighting factor;

determining, by a coverage comparison engine applying one or more predictive models trained on the historic transaction data and loss data, insurance information for the business entity based at least in part on the estimated number of employees and the weighted received information; and

outputting to a computer monitor the determined insurance information.

11. The method of claim 10, wherein the determined insurance information includes an estimated amount of risk.

12. The method of claim 10, further comprising estimating by the estimator device at least one of a sales value, a total payroll value, job titles associated with employees, benefits associated with the employees, a property value, or a type of industry of the business entity based on the received information.

13. A computer-implemented method for processing third party computer system data and geographic data, comprising:

receiving by a computer processor historic transaction data and loss data from a data storage device;

receiving by a communication device in communication with the computer processor information about a business entity from a communications interface including geographic information;

receiving, by an estimator device, from the communication device, information about the business entity, and, responsive to receipt of the information about the business entity;

automatically determining by the estimator device based on the received information about the business entity an estimated number of employees associated with the business entity;

by a data weighting device, applying weighting factors to the received information including applying a first weighting factor to received information from social networking sites indicative of the business entity having a reputation on the social networking sites of at least a threshold level and applying a second weighting factor to received information from social networking sites indicative of the business entity having a reputation on the social networking sites less than the threshold level, wherein the first weighting factor is higher than the second weighting factor; and

determining, by a coverage comparison engine, applying one or more predictive models trained on the historic transaction data and loss data, insurance information for the business entity based at least in part on the estimated number of employees and the weighted received information; and

outputting to a computer monitor the determined insurance information.

14. The method of claim 13, wherein the insurance information determined for the business entity includes an estimated amount of risk.

15. The method of claim 13, further comprising estimating by the estimator device at least one of a sales value, a total payroll value, job titles associated with employees, benefits associated with the employees, a property value, and a type of industry of the business entity based on the received information.

16. A computer-implemented method for processing geographic data and stored transaction data, comprising:

receiving by a computer processor historic transaction data and loss data from a data storage device;

receiving by a communication device in communication with the computer processor information about a business entity from a communications interface including geographic information;

receiving, by an estimator device, from the communication device, information about the business entity, and, responsive to receipt of the information about the potential small commercial insurance customer;

automatically determining by the estimator device computer processor based on the received information about the business entity an estimated number of employees associated with the business entity;

by a data weighting device, applying by the computer processor weighting factors to the received information including applying a first weighting factor to received information indicative of the business entity having at least a threshold number of previous transactions processed by an insurance entity computer system and applying a second weighting factor to received information indicative of the business entity having less than the threshold number of previous transactions processed by the insurance entity computer system, wherein the first weighting factor is higher than the second weighting factor; and

determining, by a coverage comparison engine, applying one or more predictive models trained on the historic transaction data and loss data, insurance information for the business entity based at least in part on the estimated number of employees and the weighted received information; and

outputting to a computer monitor the determined insurance information.

17. The method of claim 16, wherein the insurance information determined for the business entity includes an estimated amount of risk.

18. The method of claim 16, further comprising estimating by the estimator device at least one of a sales value, a total payroll value, job titles associated with employees, benefits associated with the employees, a property value, and a type of industry of the business entity based on the received information.

19. A non-transitory computer-readable medium storing instructions adapted to be executed by a computer processor to process third party computer system data and geographic data, the method comprising:

receiving historic transaction data and loss data from a data storage device;

receiving information about a business entity including geographic information;

responsive to receipt of the information about the business entity;

automatically determining, based on the received information about the business entity, an estimate of a number of employees associated with the business entity;

applying weighting factors to the received information including applying a first weighting factor to received information from social networking sites indicative of at least a threshold number of social networking posts being made from business locations associated with the business entity and applying a second weighting factor to received information from social networking sites indicative of less than the threshold number of social networking posts being made from business locations associated with business entity, wherein the first weighting factor is higher than the second weighting factor; and

determining, by applying one or more predictive models trained on the historic transaction data and loss data, insurance information for the business entity based at least in part on the estimate of the number of employees and the weighted received information.

20. The non-transitory computer-readable medium of claim 19, wherein the insurance information determined for the business entity includes an estimated amount of risk.

21. The non-transitory computer-readable medium of claim 19, wherein determining insurance information for the business entity further comprises estimating one or more of a sales value, a total payroll value, job titles associated with employees, benefits associated with the employees, a property value, and a type of industry of the business entity based on the received information.

22. A non-transitory computer-readable medium storing instructions adapted to be executed by a computer processor to process geographic data and stored transaction data, the method comprising:

receiving historic transaction data and loss data from a data storage device;

receiving information via a communications network about a business entity including geographic information;

responsive to receipt of the information about the business entity;

automatically determining, based on the received information about the business entity, an estimate of a number of employees associated with the business entity;

applying weighting factors to the received information including applying a first weighting factor to received information indicative of the business entity having at least a threshold number of previous transactions processed by an insurance entity computer system and applying a second weighting factor to received information indicative of the business entity having less than a threshold number of previous transactions processed by the insurance entity computer system, wherein the first weighting factor is higher than the second weighting factor;

determining, by applying one or more predictive models trained on the historic transaction data and loss data, insurance information for the business entity based at least in part on the estimate of the number of employees and the weighted received information; and

transmitting the insurance information to one or more devices.

23. The non-transitory computer-readable medium of claim 22, wherein the insurance information determined for the business entity includes an estimated amount of risk.

24. The non-transitory computer-readable medium of claim 22, wherein determining insurance information for the business entity further comprises estimating one or more of a sales value, a total payroll value, job titles associated with employees, benefits associated with the employees, a property value, and a type of industry of the business entity based on the received information.