Online interactive and partner-enhanced credit card

• US 8,489,497 B1
• Filed: 01/27/2006
• Issued: 07/16/2013
• Est. Priority Date: 01/27/2006
• 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: Novak, Christopher S., D'Angelo, Michael, Giancola, Tom
• Primary Examiner(s): Dixon, Thomas
• Assistant Examiner(s): VIZVARY, GERALD C
• Application Number:
  US11/275,777
• Time in Patent Office: 2,727 Days
• Field of Search: 705/41, 705/38, 705/39, 705/44
• US Class Current: 705/38
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof

Abstract

An on-line interactive and partner-enhanced credit card application system is disclosed. The system utilizes partner-supplied data of an applicant in credit decision. The system structures an on-line credit card application interactively with a tree-type series of questions and answers such that the next set of questions are based on the answers given. The system offers an appropriate bounty to a partner by the credit card issuer based on the data supplied by the partner and obtained during the interactive questions and answers. The system enables a credit card issuer to make an optimum product offer such as pricing and credit line assignment. The system offers commercial incentives, and utilizes the partner-supplied data during a statement process to generate further revenue and ensure cardholder retention.

Claims

1. An automated method of facilitating credit decision in an online credit card application, comprising the steps of:

a partner of a credit card issuer receiving an online purchase for at least one of a good and a service from a customer made using an online-accessible device;

using the online-accessible device, the partner querying whether the customer is interested in applying for a credit card from the credit card issuer;

the partner retrieving, from at least one computer database, partner-supplied data associated with the customer, including at least one of customer past transaction data with the partner and customer background data;

the partner transmitting the partner-supplied data to the credit card issuer;

the credit card issuer retrieving credit history data associated with the customer from a credit bureau;

using the online-accessible device, the credit card issuer presenting interactive questions to the customer to receive additional customer data from the customer; and

using a computer processor, the credit card issuer deciding whether to approve the customer for the credit card based on at least one of the partner-supplied data, the credit bureau-supplied credit history, and the additional customer data.

2. The method of claim 1, further comprising the step of:

the credit card issuer determining an offer and at least one incentive for the customer based on at least one of the partner-supplied data, the credit bureau-supplied credit history, and the additional customer data; and

using the online-accessible device, notifying the customer of the offer and the at least one incentive.

3. The method of claim 1, further comprising the step of:

the credit card issuer determining an offer and at least one incentive for the customer based on at least one of the partner-supplied data, the credit bureau-supplied credit history, and the additional customer data;

using the online-accessible device, notifying the customer of the offer and the at least one incentive;

the credit card issuer determining at least one of customer interest-based account rewards and advertising for the customer based on at least one of the partner-supplied data, the credit bureau-supplied credit history, and the additional customer data; and

using the online-accessible device, notifying the customer of the at least one of customer interest-based account rewards and advertising.

4. The method of claim 1, further comprising the step of:

the credit card issuer determining a bounty for the partner based on at least one of the partner-supplied data, the credit bureau-supplied credit history, and the additional customer data.

5. The method of claim 1, wherein the additional customer data comprises customer past transaction data and customer background data, wherein the customer past transaction data includes at least one of amounts of purchases, frequency of purchases, and types of purchases;

and

wherein the customer background data includes at least one of personal information, a demographic profile, customer financial information, and customer credit account information.

6. The method of claim 1, wherein the partner-supplied data is used to verify the truthfulness of the customer'"'"'s answers to the interactive questions.

7. The method of claim 1, wherein the interactive questions and answers are dynamic processes with a tree-type series of questions such that the each subsequent set of questions is based on the current answer, and the questions are prompted via statistical modeling techniques including at least one of logistic regression, neural networks, and genetic algorithms.

8. The method of claim 1, wherein the partner receives the online purchase on the partner'"'"'s website.

9. The method of claim 1, wherein the online-accessible device is one of a computer, a POS terminal, a Kiosk, a cell phone, and a pocket PC.

20. The method of claim 1, further comprising the step of:

issuing the credit card to the customer.

10. An automated method of facilitating credit decision in an online interactive and partner-enhanced credit card application, comprising the steps of:

using an online-accessible device, a credit card issuer initiating an online credit card application process with a customer of a partner of the credit card issuer;

the credit card issuer receiving, from the partner, partner-supplied data associated with the customer, including at least one of customer past transaction data with the partner and customer background data;

the credit card issuer receiving, from a credit bureau, credit history data associated with the customer;

using the online-accessible device, the credit card issuer receiving, from the customer, additional customer data as answers to interactive questions; and

using a computer processor, the credit card issuer determining whether to approve the customer for the credit card based on at least one of the partner-supplied data, the credit bureau-supplied credit history, and the additional customer data.

11. The method of claim 10, further comprising:

the credit card issuer determining an offer and at least one incentive for the customer based on at least one of the partner-supplied data, the credit bureau-supplied credit history, and the additional customer data; and

using the online-accessible device, notifying the customer of the offer and the at least one incentive.

12. The method of claim 10, further comprising:

the credit card issuer determining an offer and at least one incentive for the customer based on at least one of the partner-supplied data, the credit bureau-supplied credit history, and the additional customer data;

using the online-accessible device, notifying the customer of the offer and the at least one incentive; and

the credit card issuer determining at least one of customer interest-based account rewards and advertising for the customer based on at least one of the partner-supplied data, the credit bureau-supplied credit history, and the additional customer data; and

using the online-accessible device, notifying the customer of the at least one of customer interest-based account rewards and advertising.

13. The method of claim 10, further comprising the step of:

the credit card issuer determining a bounty for the partner based on at least one of the partner-supplied data, the credit bureau-supplied credit history, and the additional customer data.

14. The method of claim 10, wherein the additional customer data comprises customer past transaction data and customer background data, wherein the customer past transaction data includes at least one of amounts of purchases, frequency of purchases, and types of purchases;

and

wherein the customer background data includes at least one of personal information, a demographic profile, customer financial information, and customer credit account information.

15. The method of claim 10, wherein the partner-supplied data is used to verify the truthfulness of the customer'"'"'s answers to the interactive questions.

16. The method of claim 10, wherein the interactive questions and answers are dynamic processes with a tree-type series of questions such that the each subsequent set of questions is based on the current answer, and the questions are prompted via statistical modeling techniques including at least one of logistic regression, neural networks, and genetic algorithms.

17. The method of claim 10, wherein the partner receives the online purchase on the partner'"'"'s website.

18. The method of claim 10, wherein the online-accessible device is one of a computer, a POS terminal, a Kiosk, a cell phone, and a pocket PC.

21. The method of claim 10, further comprising the step of:

issuing the credit card to the customer.

19. An automated method of facilitating credit decision in a realtime online interactive and partner-enhanced credit card application, comprising the steps of:

using an online-accessible device, a partner of a credit card issuer receiving an online purchase from a customer for at least one of a good and a service;

using the online-accessible device, the partner querying whether the customer is interested in applying for a credit card from the credit card issuer;

the partner retrieving, from at least one computer database, partner-supplied data associated with the customer, including at least one of customer past transaction data with the partner and customer background data;

the partner transmitting the partner-supplied data to the credit card issuer;

the credit card issuer retrieving credit history data associated with the customer from a credit bureau;

using the online-accessible device, the credit card issuer presenting interactive questions to the customer to receive additional customer data;

using a computer processor, the credit card issuer deciding whether to approve the customer for the credit card based on at least one of the partner-supplied data, the credit bureau-supplied credit history, and the additional customer data;

using the computer processor, the credit card issuer determining an offer and at least one incentive for the customer based on at least one of the partner-supplied data, the credit bureau-supplied credit history, and the additional customer data;

using the online-accessible device, notifying the customer of the offer and the at least one incentive;

using the computer processor, the credit card issuer determining at least one of customer interest-based account rewards and advertising for the customer based on at least one of the partner-supplied data, the credit bureau-supplied credit history, and the additional customer data;

using the online-accessible device, notifying the customer of the at least one of customer interest-based account rewards and advertising;

using the computer processor, the credit card issuer determining a bounty for the partner based on at least one of the partner-supplied data, the credit bureau-supplied credit history, and the additional customer data; and

issuing the credit card to the customer;

wherein the additional customer data comprises customer past transaction data and customer background data, wherein the customer past transaction data includes at least one of amounts of purchases, frequency of purchases, and types of purchases and wherein the customer background data includes at least one of personal information, a demographic profile, customer financial information, and customer credit account information;

wherein the partner-supplied data is used to verify the truthfulness of the answers to the interactive questions;

wherein the interactive questions and answers are dynamic processes with a tree-type series of questions such that the each subsequent set of questions is based on the current answer, and the questions are prompted via statistical modeling techniques including at least one of logistic regression, neural networks, and genetic algorithms; and

wherein the online-accessible device is one of a computer, a POS terminal, a Kiosk, a cell phone, and a pocket PC.

22. An online interactive and partner-enhanced credit card application system for facilitating credit decision, comprising:

an online accessible device, wherein the online accessible device receives, from a customer, an online purchase for at least one of a good and a service from a partner of a credit card issuer, queries whether the customer is interested in applying for a credit card from the credit card issuer, and presents interactive questions to the customer to receive additional customer data;

a computer database that stores partner-supplied data associated with the customer, including at least one of customer past transaction data with the partner and customer background data; and

a processor that receives the partner-supplied data and determines whether to approve the customer for the credit card based on at least one of the partner-supplied data, a credit history retrieved from a credit bureau, and the additional customer data;

wherein the online-accessible device is one of a computer, a POS terminal, a Kiosk, a cell phone, and a pocket PC.

23. The system of claim 22, wherein the processor further determines an offer and at least one incentive for the customer based on at least one of the partner-supplied data, the credit bureau-supplied credit history, and the additional customer data.

24. The system of claim 22, wherein the processor further determines at least one of customer interest-based account rewards and advertising for the customer based on at least one of the partner-supplied data, the credit bureau-supplied credit history, and the additional customer data.

25. The system of claim 22, wherein the processor further determines a bounty for the partner based on at least one of the partner-supplied data, the credit bureau-supplied credit history, and the additional customer data.