PREDICTING LOCATION BASED ON PAYMENT CARD USAGE

• US 20150324816A1
• Filed: 05/06/2014
• Published: 11/12/2015
• Est. Priority Date: 05/06/2014
• Status: Abandoned Application

• Current Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Original Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Inventors: Unser, Kenny, Bernard, Serge, Malgatti, Nikhil
• Application Number:
  US14/270,514
• Publication Number:
  US 20150324816A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 20/20 Point-of-sale [POS] network systems
• CPC Class Codes: G06Q 20/3224 Transactions dependent on location of M-devices
• CPC Class Codes: G06Q 20/4016 involving fraud or risk level assessment in transaction processing
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0261 based on user location

Abstract

A system and a method for predicting the location of a person using prior point of sale transaction data are disclosed. Historical purchase data is used to develop logic for predicting a present or future location at any given time of the cardholder. The logic can be tested against transaction data to qualify its accuracy. Statistical techniques are used to develop the logic with a sample of payment cardholders during an analytical phase. The logic can be applied to a broader universe of cardholders to ascertain a higher level of confidence that can be assigned to the prediction.

Claims

1. A system for predicting a present or future location of a cardholder who has made one or more payment card transactions, comprising:

an electronic storage device having a database of the payment card transactions stored therein;

an access path for allowing access to data concerning the payment card transactions in the database, the data concerning the payment card transactions including when and where point of sale transactions have taken place; and

a processor for conducting a process to analyze the data concerning the payment card transactions, the processor being programmed with logic that provides a prediction of where the cardholder will be located at a present or a selected future time based on the payment card transactions.

2. The system of claim 1, wherein at the present time, the processor predicts the present location of the cardholder.

3. The system of claim 1, wherein the selected time is a predetermined future time, and wherein the processor predicts the location of the cardholder at that predetermined future time.

4. The system of claim 1, wherein prediction accuracy is also evaluated to derive a predicted location of the cardholder at a first selected time, additional data concerning the payment card transactions is evaluated to determine an actual location of the cardholder at the first selected time, and a comparison is made between the predicted location and the actual location.

5. The system of claim 1, wherein the database includes data concerning payment card transactions of a universe of cardholders, wherein the logic is applied to data concerning payment card transactions from a first group of cardholders in the universe of cardholders and subsequently to data concerning payment card transactions from a second group of cardholders in the universe of cardholders, with the second group of cardholders being larger than the first group of cardholders, to determine accuracy of prediction of the logic.

6. The system of claim 1, wherein the data concerning the payment card transactions is filtered by at least one filter selected from the group consisting of time, metropolitan statistical area, and designated market area.

7. The system of claim 1, wherein the logic is configured to receive as input a time and a date, and to determine location of the cardholder at that time and date.

8. The system of claim 7, wherein the logic analyzes the data concerning the payment card transactions to determine whether the date is one selected from the group consisting of a vacation day, a holiday, a week day, and a weekend day.

9. The system of claim 1, wherein the logic makes a determination whether the cardholder has made a purchase near a predicted location at the selected future time.

10. The system of claim 1, further comprising using general insights as a factor in predicting the present or future location of the cardholder, wherein the general insights include historical location data of the cardholder in the database.

11. A method for predicting the present or future location of a cardholder who has made payment card transactions, comprising:

storing in an electronic storage device having a database, data concerning the payment card transactions;

accessing the data concerning the payment card transactions in the database, wherein the accessed data includes data of the time when point of sale transactions took place; and

analyzing the accessed data with a processor in accordance with a programmed logic to predict the present or future location where the cardholder will be at the present or selected future time, respectively, based on the payment card transactions.

12. The method of claim 11, wherein at the present time, the processor predicts the present location of the cardholder.

13. The method of claim 11, wherein the selected time is a predetermined future time, and wherein the processor predicts the location of the cardholder at that predetermined future time.

14. The method of claim 11, further comprising evaluating prediction accuracy:

deriving the predicted location of the cardholder at a first selected time;

evaluating additional transaction data to determine an actual location of the cardholder at the first selected time, and

comparing the predicted location and the actual location.

15. The method of claim 11, wherein the database includes data concerning payment card transactions of a universe of cardholders, wherein the logic is applied to data concerning payment card transactions from a first group of cardholders in the universe of cardholders and subsequently to data concerning the payment card transactions from a second group of cardholders in the universe of cardholders, with the second group of cardholders being larger than the first group of cardholders, to determine accuracy of prediction of the logic.

16. The method of claim 11, further comprising filtering the data concerning the payment card transactions by at least one filter selected from the group consisting of time, metropolitan statistical area, and designated market area.

17. The method of claim 11, further comprising receiving as input in the logic a time and a date, and predicting the location of the cardholder at that time and date.

18. The method of claim 17, further comprising analyzing the accessed data concerning the payment card transactions to determine whether the date is one selected from the group consisting of a vacation day, a holiday, a week day, and a weekend day.

19. The method of claim 11, further comprising using general insights as a factor in predicting the present or future location of the cardholder, wherein the general insights include historical location data of the cardholder in the database.

20. A computer readable non-transitory storage medium storing instructions of a computer program which when executed by a computer system results in performance of steps of a method for predicting the location of a cardholder who has made payment card transactions, comprising:

storing in an electronic storage device having a database with data concerning the transactions;

accessing the data concerning the transactions in the database, the accessed data including data on when point of sale transactions have taken place; and

analyzing the accessed data with a processor in accordance with a programmed logic to predict the present or future location of the cardholder at a selected time, wherein the selected time is the present time or any desired future time, based on the payment card transactions.