Using commercial share of wallet to manage vendors

• US 8,315,933 B2
• Filed: 01/23/2012
• Issued: 11/20/2012
• Est. Priority Date: 10/29/2004
• Status: Active Grant

• Current Assignee: American Express Travel Related Services Company, Inc. (American Express Company)
• Original Assignee: American Express Travel Related Services Company, Inc. (American Express Company)
• Inventors: Haggerty, Kathleen, Lyon, Charles Christopher, Okoh, Benedict O., Phelan, Robert E., Ruterman, Jon Kevin, Turner, Geraldine A., Yuan, Chao M., Biswas, Arnab
• Primary Examiner(s): Hammond, III, Thomas M
• Application Number:
  US13/356,270
• Publication Number:
  US 20120123810A1
• Time in Patent Office: 302 Days
• Field of Search: 705 35- 45
• US Class Current: 705/35
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company'"'"'s spend capacity. Government agencies, procurement departments, and others that patronize small businesses can use CSoW/CSoSW to determine businesses that should be awarded contracts and businesses that should be denied. CSoW/CSoSW may also be used to manage approved vendor lists.

Claims

1. A method of determining insurance risk, comprising:

modeling, by a computer-based system for determining said insurance risk comprising a computer processor and a tangible, non-transitory memory, industry spending patterns using individual corporate data and aggregate corporate data, including financial statement data, wherein the modeling comprises;

identifying the cost of goods sold and operating expenses from at least one of the individual corporate data and the aggregate corporate data;

at least one of identifying the cardable operating expenses from the operating expenses and identifying a cardable operating expenses ratio from aggregate corporate data;

at least one of summing the cardable operating expenses with the cost of goods sold and summing the cost of goods sold with the product of operating expenses and the cardable operating expenses ratio;

estimating, by the computer-based system, a commercial size of spending wallet of a company based on, at least, known financial statement data of the company, total known business spending of the company, and the model of industry spending patterns, wherein the commercial size of spending wallet is the total cardable business spending of the company, and wherein the model of industry spending patterns is used to infer financial statement data and spending data that is not known; and

determining an insurance risk using at least the estimated commercial size of spending wallet of the company.

2. The method of claim 1, further comprising determining whether to sell insurance to the company based on the insurance risk.

3. The method of claim 1, further comprising determining the amount of insurance to sell to the company based on the insurance risk.

4. The method of claim 1, further comprising determining the premium amount for insuring the company based on the insurance risk.

5. The method of claim 1, further comprising determining a payout amount for an insurance premium based on the insurance risk.

6. The method of claim 1, further comprising determining when to revoke an insurance policy held by the company based on the insurance risk.

7. The method of claim 6, wherein the insurance is key man insurance.

8. The method of claim 1, wherein the estimating comprises outputting the commercial size of spending wallet as a score.

9. The method of claim 1, wherein the company is a customer of a provider, and the insurance risk is determined for the provider.

10. A system for determining insurance risk, the system comprising:

a non-transitory memory communicating with a processor, the non-transitory memory having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations comprising;

modeling, by the processor, industry spending patterns using individual corporate data and aggregate corporate data, including financial statement data, wherein the modeling comprises;

identifying the cost of goods sold and operating expenses from at least one of the individual corporate data and the aggregate corporate data;

at least one of identifying the cardable operating expenses from the operating expenses and identifying a cardable operating expenses ratio from aggregate corporate data;

at least one of summing the cardable operating expenses with the cost of goods sold, and summing the cost of goods sold with the product of operating expenses and the cardable operating expenses ratio;

estimating, by the processor, a commercial size of spending wallet of a company based on, at least, known financial statement data of the company, total known business spending of the company, and the model of industry spending patterns, wherein the commercial size of spending wallet is the total cardable business spending of the company, and wherein the model of industry spending patterns is used to infer financial statement data and spending data that is not known; and

determining an insurance risk using at least the estimated commercial size of spending wallet of the company.

11. The system of claim 10, wherein the instructions stored thereon, in response to execution by the processor, cause the processor to perform operations further comprising determining whether to sell insurance to the company based on the insurance risk.

12. The system of claim 10, wherein the instructions stored thereon, in response to execution by the processor, cause the processor to perform operations further comprising determining the amount of insurance to sell to the company based on the insurance risk.

13. The system of claim 10, wherein the instructions stored thereon, in response to execution by the processor, cause the processor to perform operations further comprising determining the premium amount for insuring the company based on the insurance risk.

14. The system of claim 10, wherein the instructions stored thereon, in response to execution by the processor, cause the processor to perform operations further comprising determining a payout amount for an insurance premium based on the insurance risk.

15. The system of claim 10, wherein the instructions stored thereon, in response to execution by the processor, cause the processor to perform operations further comprising.

16. The system of claim 15, wherein the insurance is key man insurance.

17. The system of claim 10, wherein the instructions stored thereon, in response to execution by the processor, cause the processor to perform operations further comprising outputting the estimated commercial size of spending wallet as a score.

18. An article of manufacture including a computer readable medium having instructions stored thereon that, in response to execution by a computing device, cause the computing device to perform operations comprising:

modeling, by the computing device, industry spending patterns using individual corporate data and aggregate corporate data, including financial statement data, wherein the modeling comprises;

identifying the cost of goods sold and operating expenses from at least one of the individual corporate data and the aggregate corporate data;

at least one of identifying the cardable operating expenses from the operating expenses and identifying a cardable operating expenses ratio from aggregate corporate data;

at least one of summing the cardable operating expenses with the cost of goods sold and summing the cost of goods sold with the product of operating expenses and the cardable operating expenses ratio;

estimating, by the computing device, a commercial size of spending wallet of a company based on, at least, known financial statement data of the company, total known business spending of the company, and the model of industry spending patterns, wherein the commercial size of spending wallet is the total cardable business spending of the company, and wherein the model of industry spending patterns is used to infer financial statement data and spending data that is not known; and

determining an insurance risk using at least the estimated commercial size of spending wallet of the company.

19. The article of claim 18 wherein the instructions stored thereon, in response to execution by the computing device processor, cause the computing device to perform operations further comprising determining whether to sell insurance to the company based on the insurance risk.

20. The article of claim 18, wherein the instructions stored thereon, in response to execution by the computing device, cause the computing device to perform operations further comprising determining the amount of insurance to sell to the company based on the insurance risk.