System and method of contractor risk assessment scoring system (CRASS) using the internet, and computer software

• US 20040059592A1
• Filed: 07/17/2003
• Published: 03/25/2004
• Est. Priority Date: 07/23/2002
• Status: Abandoned Application

• Current Assignee: Navigator Technology Incorporated
• Original Assignee: Navigator Technology Incorporated
• Inventors: Yadav-Ranjan, Rani
• Application Number:
  US10/623,352
• Publication Number:
  US 20040059592A1
• Time in Patent Office: Days
• US Class Current: 705/1
• CPC Class Codes: G06Q 30/018 Certifying business or products
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G06Q 50/165 Land development

Abstract

This invention disclosure deals with a system and method with the process of automatically assessing the Risk associated with Construction Contractors (Contractor Risk Assessment Scoring System (CRASS)). The method comprises steps (a) implemented a computer software which features steps to create an information database including information elements, (b) provide mined Contractor data to automate valuation model system, (c) receiving Contractor valuation data from Public and Private Entities, (d) determining a maximum allowable score by applying a pre-set valuation data, and (e) automatically carrying out in the computer system using software. The computer system for automatically processing the Score is disclosed. The invention may utilize a user interface, a server, and a communication pathway to electronically solicit, receive, and store contractor information.

Claims

1. A system for providing a contactor risk assessment score (CRAS), comprising:

A memory for storing data,

A computer coupled to said memory and

A program in execution by said computer,

said program comprising a formula comparing variables predictive of a performance of a contractor.

2. The system of claim 1, wherein the formula is

CRAS=[ε

(Ai)/ε

(Mi)*100]

where Ai=Assigned score on variable i; and

Mi=maximum score on variable i.

3. The system of claim 2, wherein the contractor is a construction contractor.

4. The system of claim 3, wherein the formula determines a sum of assigned scores on said variables.

5. The system of claim 4, wherein the variables comprise a payment history value based on payments by the contractor and a credit history value of the contractor.

6. The system of claim 5, wherein the variables further comprise a value for an amount owed in debt by the contractor.

7. The system of claim 5, wherein the variables further comprise at least one predefined criterion selected from the group consisting of:

a Risk Assessment metric having changed by at least a predetermined amount and a length of time since a transmitted alert.

8. The system of claim 5, wherein the variables further comprise at least one predefined criterion selected from the group consisting of:

length-of-license, Cumulative-total-of-engagements, number-of-Notice-of-completions, Number-of-terminations, Current-engagements, Insurance-held divided by Total-value-of-engagement, Company-structure, number-of-employees, years-in-trade, number-of-liens, Number-of-banks-used, Terminations divided by Years-in-trade, Terminations divided by Total-Engagements, Delays divided by Total-Engagements, Number-of-Tax-Liens, Age-of-Contractor, License-Type, License-Status, Repeat Business-with-Bank, Average-size-of-Engagement, Judgments, and Judgments-satisfied.

9. The system of claim 1, further comprising a score history report. The Score History Report is a report generated on a unique desired variable such as months. The software can generated a report based on the months of a predefined time span.

10. The system of claim 1, wherein the formula generates a score using multivariate methods to produce a coefficient for an external variable and the coefficient represents the contribution the external variable to the CRAS.

11. A method for providing a contactor risk assessment score (CRAS), comprising:

storing data in a memory coupled to a computer

executing a program by said computer,

said program comprising a formula comparing variables predictive of a performance of a contractor.

12. The method of claim 11, wherein the formula is

CRAS=[ε

(Ai)/ε

(Mi)*100]

where Ai=Assigned score on variable i; and

Mi=maximum score on variable i.

13. The method of claim 12, wherein the contractor is a construction contractor.

14. The method of claim 13, wherein the formula determines a sum of assigned scores on said variables.

15. The method of claim 14, wherein the variables comprise a payment history value based on payments by the contractor and a credit history value of the contractor.

16. The method of claim 15, wherein the variables further comprise a value for an amount owed in debt by the contractor.

17. The method of claim 15, wherein the variables further comprise at least one predefined criterion selected from the group consisting of:

a Risk Assessment metric having changed by at least a predetermined amount and a length of time since a transmitted alert.

18. The method of claim 15, wherein the variables further comprise at least one predefined criterion selected from the group consisting of:

length-of-license, Cumulative-total-of-engagements, number-of-Notice-of-completions, Number-of-terminations, Current-engagements, Insurance-held divided by Total-value-of-engagement, Company-structure, number-of-employees, years-in-trade, number-of-liens, Number-of-banks-used, Terminations divided by Years-in-trade, Terminations divided by Total-Engagements, Delays divided by Total-Engagements, Number-of-Tax-Liens, Age-of-Contractor, License-Type, License-Status, Repeat Business-with-Bank, Average-size-of-Engagement, Judgments, and Judgments-satisfied.

19. The method of claim 11, further comprising generating a score history report.

20. The method of claim 11, wherein the formula generates a score using multivariate methods to produce a coefficient for an external variable and the coefficient represents the contribution the external variable to the CRAS.

21. The method of claim 11, further comprising examining external variables for cross-correlation against one another to validate the external variables.

22. The method of claim 21, further comprising associating at least one individual external variable with an individual contractor'"'"'s records based on a data key associated with at least one external data source.

23. The method of claim 11, further comprising dividing the data into a relational data set for developing the score for refining and validating the data.