System and method for detecting and processing fraud and credit abuse

• US 7,480,631 B1
• Filed: 12/15/2004
• Issued: 01/20/2009
• Est. Priority Date: 12/15/2004
• Status: Active Grant

• Current Assignee: JP Morgan Chase Bank, N.A. (JP Morgan Chase & Co)
• Original Assignee: JP Morgan Chase Bank, N.A. (JP Morgan Chase & Co)
• Inventors: Merced, Angel, Hoffman, Lou Ann, Webb, Timothy A., Senz, SueAnne, Rita, Anthony E., Bathula, Chakravarthi S., Buckner, Kevin D.
• Primary Examiner(s): Tieu; Binh K
• Application Number:
  US11/011,685
• Time in Patent Office: 1,497 Days
• Field of Search: 379/91.01, 379/93.12, 379/114.14, 379/144.03, 379/145, 705/35, 705/38, 705/67, 705/75, 235/380, 382/115, 382/139
• US Class Current: 705/35
• CPC Class Codes: G06Q 20/3674 involving authentication
• CPC Class Codes: G06Q 20/403 Solvency checks
• 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

Abstract

A system and method for detecting and processing fraud and credit abuse is disclosed. One embodiment of the present invention comprises a method for detecting and processing fraud and credit abuse. The method may comprise: receiving a telephone call from a caller concerning a credit account; identifying one or more potential fraud-related problems by searching the credit account data for conditions that match one or more predetermined qualifiers and quantifiers; presenting the caller with a series of questions and soliciting, from the caller, responses to the series of questions, wherein each question in the series is generated based on the one or more potential fraud-related problems and further based on the caller'"'"'s responses to earlier questions in the series; and determining a fraud status associated with the credit account based on a computerized analysis of the solicited responses.

Claims

1. A method for detecting and processing fraud and credit abuse, the method comprising:

receiving a telephone call from a caller concerning a credit account;

identifying one or more potential fraud-related problems by searching the credit account data for conditions that match one or more predetermined qualifiers and quantifiers;

presenting the caller with a series of questions and soliciting, from the caller, responses to the series of questions, wherein each question in the series is generated based on the one or more potential fraud-related problems and further based on the caller'"'"'s responses to earlier questions in the series; and

determining a fraud status associated with the credit account based on a computerized analysis of the solicited responses.

2. The method according to claim 1 further comprising:

determining, automatically, a fraud-related reason why the caller initiated the telephone call; and

generating the series of questions based at least in part on the fraud-related reason.

3. The method according to claim 1 further comprising:

determining the caller'"'"'s state of mind; and

generating the series of questions based at least in part on the caller'"'"'s state of mind.

4. The method according to claim 1 further comprising:

providing a strategy for disposing the credit account based on the fraud status and a predetermined fraud recovery pattern.

5. The method according to claim 1 further comprising:

invoking a set of predetermined business rules, if the fraud status is undetermined, to assess a profitability and a risk associated with the credit account in view of a potential fraud type; and

generating a recommendation for disposing the credit account based on the profitability-risk assessment.

6. The method according to claim 1 further comprising:

determining fraud status for a plurality of credit accounts; and

prioritizing an order of fraud recovery for the plurality of credit accounts based at least in part on a fraud amount and an estimated success rate for recovering the fraud amount for each of the plurality of credit accounts.

7. A method for detecting and processing fraud and credit abuse, the method comprising:

capturing transaction data associated with a credit account on a substantially real-time basis;

evaluating the captured transaction data against a plurality of fraud qualifiers and quantifiers; and

generating a fraud alert based on the evaluation, wherein the fraud alert comprises a potential fraud type and a recommended strategy for dealing with the potential fraud type.

8. The method according to claim 7 further comprising:

establishing an interactive communication with a customer associated with the credit account based on the recommended strategy;

presenting the customer with a series of questions and soliciting, from the customer, responses to the series of questions, wherein each question in the series is generated based on the potential fraud type and further based on the caller'"'"'s responses to earlier questions in the series; and

determining a fraud status associated with the credit account based on a computerized analysis of the solicited responses.

9. The method according to claim 7 further comprising:

determining fraud status for a plurality of credit accounts;

prioritizing an order of fraud recovery for the plurality of credit accounts based at least in part on a fraud amount and an estimated success rate for recovering the fraud amount for each of the plurality of credit accounts; and

initiating communications with customers associated with the plurality of credit accounts based on the prioritized order.

10. A method for detecting and processing fraud and credit abuse, the method comprising:

establishing an interactive communication with a customer concerning a credit account;

identifying one or more potential fraud-related problems by searching the credit account data for conditions that match one or more predetermined qualifiers and quantifiers;

presenting the customer with a series of questions and soliciting, from the customer, responses to the series of questions, wherein each question in the series is generated based on the one or more potential fraud-related problems and further based the caller'"'"'s responses to earlier questions in the series; and

determining a fraud status associated with the credit account based on a computerized analysis of the solicited responses.

11. A system for detecting and processing fraud and credit abuse, the system comprising:

means for receiving a telephone call from a caller concerning a credit account;

means for identifying one or more potential fraud-related problems by searching the credit account data for conditions that match one or more predetermined qualifiers and quantifiers;

means for presenting the caller with a series of questions and soliciting, from the caller, responses to the series of questions, wherein each question in the series is generated based on the one or more potential fraud-related problems and further based on the caller'"'"'s responses to earlier questions in the series; and

means for determining a fraud status associated with the credit account based on a computerized analysis of the solicited responses.

12. The system according to claim 11 further comprising:

means for determining, automatically, a fraud-related reason why the caller initiated the telephone call; and

means for generating the series of questions based at least in part on the fraud-related reason.

13. The system according to claim 11 further comprising:

means for determining the caller'"'"'s state of mind; and

means for generating the series of questions based at least in part on the caller'"'"'s state of mind.

14. The system according to claim 11 further comprising:

means for providing a strategy for disposing the credit account based on the fraud status and a predetermined fraud recovery pattern.

15. The system according to claim 11 further comprising:

means for invoking a set of predetermined business rules, if the fraud status is undetermined, to assess a profitability and a risk associated with the credit account in view of a potential fraud type; and

means for generating a recommendation for disposing the credit account based on the profitability-risk assessment.

16. The system according to claim 11 further comprising:

means for determining fraud status for a plurality of credit accounts; and

means for prioritizing an order of fraud recovery for the plurality of credit accounts based at least in part on a fraud amount and an estimated success rate for recovering the fraud amount for each of the plurality of credit accounts.

17. A system for detecting and processing fraud and credit abuse, the system comprising:

means for capturing transaction data associated with a credit account on a substantially real-time basis;

means for evaluating the captured transaction data against a plurality of fraud qualifiers and quantifiers; and

means for generating a fraud alert based on the evaluation, wherein the fraud alert comprises a potential fraud type and a recommended strategy for dealing with the potential fraud type.

18. The system according to claim 17 further comprising:

means for establishing an interactive communication with a customer associated with the credit account based on the recommended strategy;

means for presenting the customer with a series of questions and soliciting, from the customer, responses to the series of questions, wherein each question in the series is generated based on the potential fraud type and further based on the caller'"'"'s responses to earlier questions in the series; and

means for determining a fraud status associated with the credit account based on a computerized analysis of the solicited responses.

19. The system according to claim 17 further comprising:

means for determining fraud status for a plurality of credit accounts;

means for prioritizing an order of fraud recovery for the plurality of credit accounts based at least in part on a fraud amount and an estimated success rate for recovering the fraud amount for each of the plurality of credit accounts; and

means for initiating communications with customers associated with the plurality of credit accounts based on the prioritized order.

20. A method for detecting and processing fraud and credit abuse, the method comprising:

establishing an interactive communication with a customer concerning a credit account;

identifying one or more potential fraud-related problems by searching the credit account data for conditions that match one or more predetermined qualifiers and quantifiers;

presenting the customer with a series of questions and soliciting, from the customer, responses to the series of questions, wherein each question in the series is generated based on the one or more potential fraud-related problems and further based the caller'"'"'s responses to earlier questions in the series;

determining a fraud status associated with the credit account based on a computerized analysis of the solicited responses; and

generating a strategy for disposing the credit account based on;

the fraud status,

a predetermined fraud recovery pattern,

a profitability-risk assessment for the credit account, and

an estimated success rate for fraud recovery.

21. A computer readable medium having code for causing a processor to detect and process fraud and credit abuse, the computer readable medium comprising:

code adapted to receive a telephone call from a caller concerning a credit account;

code adapted to identify one or more potential fraud-related problems by searching the credit account data for conditions that match one or more predetermined qualifiers and quantifiers;

code adapted to present the caller with a series of questions and solicit, from the caller, responses to the series of questions, wherein each question in the series is generated based on the one or more potential fraud-related problems and further based on the caller'"'"'s responses to earlier questions in the series; and

code adapted to determine a fraud status associated with the credit account based on a computerized analysis of the solicited responses.

22. The computer readable medium according to claim 21 further comprising:

code adapted to determine, automatically, a fraud-related reason why the caller initiated the telephone call; and

code adapted to generate the series of questions based at least in part on the fraud-related reason.

23. The computer readable medium according to claim 21 further comprising:

code adapted to determine the caller'"'"'s state of mind; and

code adapted to generate the series of questions based at least in part on the caller'"'"'s state of mind.

24. The computer readable medium according to claim 21 further comprising:

code adapted to provide a strategy for disposing the credit account based on the fraud status and a predetermined fraud recovery pattern.

25. The computer readable medium according to claim 21 further comprising:

code adapted to invoke a set of predetermined business rules, if the fraud status is undetermined, to assess a profitability and a risk associated with the credit account in view of a potential fraud type; and

code adapted to generate a recommendation for disposing the credit account based on the profitability-risk assessment.

26. The computer readable medium according to claim 21 further comprising:

code adapted to determine fraud status for a plurality of credit accounts; and

code adapted to prioritize an order of fraud recovery for the plurality of credit accounts based at least in part on a fraud amount and an estimated success rate for recovering the fraud amount for each of the plurality of credit accounts.

27. A computer readable medium having code for causing a processor to detect and process fraud and credit abuse, the computer readable medium comprising:

code adapted to capture transaction data associated with a credit account on a substantially real-time basis;

code adapted to evaluate the captured transaction data against a plurality of fraud qualifiers and quantifiers; and

code adapted to generate a fraud alert based on the evaluation, wherein the fraud alert comprises a potential fraud type and a recommended strategy for dealing with the potential fraud type.

28. The computer readable medium according to claim 27 further comprising:

code adapted to establish an interactive communication with a customer associated with the credit account based on the recommended strategy;

code adapted to present the customer with a series of questions and solicit, from the customer, responses to the series of questions, wherein each question in the series is generated based on the potential fraud type and further based on the caller'"'"'s responses to earlier questions in the series; and

code adapted to determine a fraud status associated with the credit account based on a computerized analysis of the solicited responses.

29. The computer readable medium according to claim 27 further comprising:

code adapted to determine fraud status for a plurality of credit accounts;

code adapted to prioritize an order of fraud recovery for the plurality of credit accounts based at least in part on a fraud amount and an estimated success rate for recovering the fraud amount for each of the plurality of credit accounts; and

code adapted to initiate communications with customers associated with the plurality of credit accounts based on the prioritized order.