SYSTEMS AND METHODS FOR CREDIT CARD DEMAND FORECASTING USING REGIONAL PURCHASE BEHAVIOR

• US 20150120384A1
• Filed: 10/25/2013
• Published: 04/30/2015
• Est. Priority Date: 10/25/2013
• Status: Abandoned Application

• Current Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Original Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Inventors: Gerard, Jean-Pierre, Hu, Po, Chauhan, Rohit, Zhang, Tong
• Application Number:
  US14/063,846
• Publication Number:
  US 20150120384A1
• Time in Patent Office: Days
• US Class Current: 705/7.31
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration

Abstract

A computer-implemented method and system for forecasting a demand for a credit-based payment card implemented using a demand forecasting computer device coupled to a memory device. The method includes retrieving financial transaction data for a plurality of payment card cardholders acquired by the demand forecasting computer device and stored in the memory device, determining variables in the financial transaction data that predict the demand for a credit-based payment card using an independent variables generation engine, integrating the retrieved financial transaction data, economic data received from sources external to the demand forecasting computer device, and data relating to new payment card cardholders based on the determined variables, generating a prediction of the demand for credit in a selectable geographic area using a cross-sectional model of the integrated data and the determined variables, and outputting the prediction.

Claims

1. A computer-implemented method for forecasting a demand for a credit-based payment card, the method implemented using a demand forecasting computer device coupled to a memory device, the method comprising:

retrieving financial transaction data for a plurality of payment card cardholders acquired by the demand forecasting computer device and stored in the memory device;

determining variables in the financial transaction data that predict the demand for a credit-based payment card using an independent variables generation engine;

integrating the retrieved financial transaction data, economic data received from sources external to the demand forecasting computer device, and data relating to new payment card cardholders based on the determined variables;

generating a prediction of the demand for credit in a selectable geographic area using a cross-sectional model of the integrated data and the determined variables; and

outputting the prediction.

2. The computer-implemented method of claim 1, further comprising storing in the memory device, financial transaction data for a plurality of payment card cardholders associated with the demand forecasting computer device.

3. The computer-implemented method of claim 1, further comprising receiving a geographic area for forecasting the demand for a credit-based payment card in that geographic region.

4. The computer-implemented method of claim 1, further comprising determining new payment card cardholders using the stored transaction data by determining a time when a payment card associated with a cardholder is first used.

5. The computer-implemented method of claim 1, further comprising estimating a geographic area of residence of the plurality of payment card cardholders using the financial transaction data.

6. The computer-implemented method of claim 1, wherein determining variables comprises correlating the transaction data and the economic data.

7. The computer-implemented method of claim 1, wherein determining variables comprises correlating transaction data with an industry associated with at least one of a merchant and a purchased item or service.

8. The computer-implemented method of claim 1, wherein storing at the central store comprises storing at the central store at least one of employment data, business activity, retail activity, banking activity, and interest rates in the one or more geographic areas.

9. The computer-implemented method of claim 1, further comprising receiving marketing data that relates to an offer of credit to residents in the one or more geographic areas.

10. The computer-implemented method of claim 1, further comprising determining if a payment card cardholder of the plurality of payment card cardholder is a new payment card cardholder, the new payment card cardholder being a payment card cardholder that has first used a payment card within a recent predetermined time period based on the stored transaction data.

11. The computer-implemented method of claim 1, further comprising determining a trend of a prediction of the demand for a credit-based payment card in the received geographic area over a selectable period of time.

12. A computer system for processing data, the computer system comprising a memory device and a processor in communication with the memory device, the processor programmed to:

retrieve financial transaction data for a plurality of payment card cardholders acquired by the demand forecasting computer device and stored in the memory device;

determine variables in the financial transaction data that predict the demand for a credit-based payment card using an independent variables generation engine;

integrate the retrieved financial transaction data, economic data received from sources external to the demand forecasting computer device, and data relating to new payment card cardholders based on the determined variables;

generate a prediction of the demand for credit in a selectable geographic area using a cross-sectional model of the integrated data and the determined variables; and

output the prediction.

13. The computer system of claim 12, wherein the processor is further programmed to receive a geographic area for forecasting the demand for a credit-based payment card in that geographic region.

14. The computer system of claim 12, wherein the processor is further programmed to determine new payment card cardholders using the stored transaction data by determining a time when a payment card associated with a cardholder is first used.

15. The computer system of claim 12, wherein the processor is further programmed to estimate a geographic area of residence of the plurality of payment card cardholders using the financial transaction data.

16. One or more non-transitory computer-readable storage media having computer-executable instructions embodied thereon, wherein when executed by at least one processor, the computer-executable instructions cause the processor to:

retrieve financial transaction data for a plurality of payment card cardholders acquired by the demand forecasting computer device and stored in the memory device;

determine variables in the financial transaction data that predict the demand for a credit-based payment card using an independent variables generation engine;

integrate the retrieved financial transaction data, economic data received from sources external to the demand forecasting computer device, and data relating to new payment card cardholders based on the determined variables;

generate a prediction of the demand for credit in a selectable geographic area using a cross-sectional model of the integrated data and the determined variables; and

output the prediction.

17. The computer-readable storage media of claim 16, wherein the computer-executable instructions further cause the processor to correlate transaction data with an industry associated with at least one of a merchant and a purchased item or service.

18. The computer-readable storage media of claim 16, wherein the computer-executable instructions further cause the processor to store at the central store at least one of employment data, business activity, retail activity, banking activity, and interest rates in the one or more geographic areas.

19. The computer-readable storage media of claim 16, wherein the computer-executable instructions further cause the processor to determine if a payment card cardholder of the plurality of payment card cardholder is a new payment card cardholder, the new payment card cardholder being a payment card cardholder that has first used a payment card within a recent predetermined time period based on the stored transaction data.

20. The computer-readable storage media of claim 16, wherein the computer-executable instructions further cause the processor to determine a trend of a prediction of the demand for a credit-based payment card in the received geographic area over a selectable period of time.