MERCHANT BUSINESS HOURS DATABASE VIA TRANSACTION DATA APPARATUS AND METHOD

• US 20140379508A1
• Filed: 06/23/2014
• Published: 12/25/2014
• Est. Priority Date: 06/21/2013
• Status: Abandoned Application

• Current Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Original Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Inventors: Sangasani, Ramamohan, Zhang, Tong, MacNair, Bruce William
• Application Number:
  US14/312,330
• Publication Number:
  US 20140379508A1
• Time in Patent Office: Days
• US Class Current: 705/26.1
• CPC Class Codes: G06Q 30/00 Commerce

Abstract

A system, method, and computer-readable storage medium configured to determine merchant business hours using financial transactions.

Claims

1. A method of determining business hours of a merchant, the method comprising:

extracting, with a processor, payment card transaction authorization information for the merchant, the payment card transaction authorization information including a time and a date of multiple payment card authorizations;

grouping, with the processor, each of the multiple payment card authorizations into days of a week;

determining, with the processor, an opening time and a closing time of at least one of the days of the week based at least in part on a first and a last payment card transaction authorization;

storing the opening and the closing time on a non-transitory computer-readable storage medium.

2. The method of claim 1 further comprising:

converting the time of each of the multiple payment card transaction authorizations into a local time based on a location of the merchant with the processor.

3. The method of claim 2 further comprising:

dividing each of the days of the week into intervals with the processor.

4. The method of claim 3 further comprising:

sorting each of the multiple payment card transaction authorizations into the intervals with the processor.

5. The method of claim 4 further comprising:

removing, with the processor, outlier transactions from the intervals, resulting in filtered intervals.

6. The method of claim 5 wherein the determining the opening time and the closing time of the at least one of the days of the week is based at least in part on the filtered intervals.

7. The method of claim 6 further comprising:

determining the opening time and the closing time of each of the days of the week based at least in part on the filtered intervals.

8. A business hours calculation server comprising:

a processor configured to extract payment card transaction authorization information for a merchant, the payment card transaction authorization information including a time and a date of multiple payment card authorizations, configured to group each of the multiple payment card authorizations into days of a week, configured to determine an opening time and a closing time of at least one of the days of the week based at least in part on a first and a last payment card transaction authorization;

a non-transitory computer-readable storage medium configured to store the opening and the closing time.

9. The business hours calculation server of claim 8 wherein the processor is further configured to convert the time of each of the multiple payment card transaction authorizations into a local time based on a location of the merchant.

10. The business hours calculation server of claim 9 wherein the processor is further configured to divide each of the days of the week into intervals.

11. The business hours calculation server of claim 10 wherein the processor is further configured to sort each of the multiple payment card transaction authorizations into the intervals.

12. The business hours calculation server of claim 11 wherein the processor is further configured to remove outlier transactions from the intervals, resulting in filtered intervals.

13. The business hours calculation server of claim 12 wherein the determining the opening time and the closing time of the at least one of the days of the week is based at least in part on the filtered intervals.

14. The business hours calculation server of claim 13 wherein the processor is further configured to determine the opening time and the closing time of each of the days of the week based at least in part on the filtered intervals.

15. A non-transitory computer-readable storage medium encoded with data and instructions that when the instructions are executed by a computing device, causes the computing device to:

extract, with a processor, payment card transaction authorization information for a merchant, the payment card transaction authorization information including a time and a date of multiple payment card authorizations;

group, with the processor, each of the multiple payment card authorizations into days of a week;

determine, with the processor, an opening time and a closing time of at least one of the days of the week based at least in part on a first and a last payment card transaction authorization;

store the opening and the closing time on the non-transitory computer-readable storage medium.

16. The non-transitory computer-readable storage medium of claim 15 further causing the computing device to:

convert the time of each of the multiple payment card transaction authorizations into a local time based on a location of the merchant with the processor.

17. The non-transitory computer-readable storage medium of claim 16 further causing the computing device to:

divide each of the days of the week into intervals with the processor.

18. The non-transitory computer-readable storage medium of claim 17 further causing the computing device to:

sort each of the multiple payment card transaction authorizations into the intervals with the processor.

19. The non-transitory computer-readable storage medium of claim 18 further causing the computing device to:

remove, with the processor, outlier transactions from the intervals, resulting in filtered intervals.

20. The non-transitory computer-readable storage medium of claim 19 wherein the determining the opening time and the closing time of the at least one of the days of the week is based at least in part on the filtered intervals.