SYSTEM AND METHOD FOR SELECTIVE AUDITING OF MOBILE COMMERCE BASKETS

• US 20150127414A1
• Filed: 03/14/2014
• Published: 05/07/2015
• Est. Priority Date: 11/06/2013
• Status: Active Grant

• Current Assignee: Catalina Marketing Corporation
• Original Assignee: Catalina Marketing Corporation
• Inventors: Geffert, William, Gopalakrishnan, Satish, Cheung, Aubrey
• Granted Patent: US 10,496,946 B2
• Time in Patent Office: Days
• US Class Current: 705/7.28
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 20/18 involving self-service terminals [SST], vending machines, kiosks or multimedia terminals
• CPC Class Codes: G06Q 20/322 Aspects of commerce using mobile devices [M-devices]
• CPC Class Codes: G06Q 20/4016 involving fraud or risk level assessment in transaction processing

Abstract

The invention relates to systems and methods of selective auditing of mobile commerce baskets based on real-time behavior, profile information, event information, and/or other information in self-scan and other self-serve retail systems. The system may make a comprehensive, real-time, audit decision based on various risk factors that indicate a probability that a given shopping trip in a self-scan system includes a scan error. The audit decision may be parameterized such that different risk factors may be considered and weighted/prioritized with respect to other risk factors. For example, audit parameters may be used to determine which risk factors are used when processing the audit decision. The system may keep track of purchases, audits, and audit results in order to provide real-time reports and analytics. The system may also model audit decisions such that audit decisions may be simulated for a one or more retail locations during different time periods.

Claims

1. A computer-implemented method of selectively auditing baskets in a self-scan system, the method being implemented on a computer system having one or more physical processors programmed with computer program instructions that, when executed by the one or more physical processors, cause the computer system to perform the method, the method comprising:

receiving, by the computer system, a customer identification that identifies a customer associated with a current shopping trip;

obtaining, by the computer system, customer profile information associated with the customer identified by the customer identification, wherein the customer profile information includes an indication of at least a first item that was previously purchased by the customer;

determining, by the computer system, that the first item has not been scanned during the current shopping trip;

determining, by the computer system, a first level of risk associated with the customer based on the determination that the first item has not been scanned during the current shopping trip;

receiving, by the computer system, scan information comprising an item identification that identifies a second item that was scanned during the current shopping trip;

obtaining, by the computer system, item profile information associated with the item identification, wherein the item profile information includes an indication that the second item is packaged in a manner that is used to conceal other items;

determining, by the computer system, a second level of risk associated with the second item based on the indication that the second item is packaged in a manner that is used to conceal other items; and

causing, by the computer system, an audit to occur based on the first level of risk and the second level of risk.

2. The method of claim 1, wherein the customer profile information includes an identifier associated with a computing device used by the customer, the method further comprising:

determining, by the computer system, that the computing device is associated with an activity that represents a risk, wherein the first level of risk is based on the activity.

3. The method of claim 1, wherein the customer profile information includes a credit score or credit report related to the customer, the method further comprising:

determining, by the computer system, that the credit score or credit report represents a risk, wherein the first level of risk is based on the determined risk.

4. The method of claim 1, wherein the customer profile information indicates a use by the customer of a stolen, lost, or over-limit credit card, the method further comprising:

determining, by the computer system, that the use of the stolen, lost, or over-limit credit card represents a risk, wherein the first level of risk is based on the determined risk.

5. The method of claim 1, wherein the customer profile information includes demographic information of the customer, and wherein the method further comprising:

determining, by the computer system, a third item expected to be purchased by the customer based on the demographic information;

determining, by the computer system, that the third item has not been scanned during the current shopping trip; and

wherein determining the first level of risk is based further on the determination that the third item has not been scanned during the current shopping trip.

7. The method of claim 1, the method further comprising:

obtaining, by the computer system, current shopping information that describes a current shopping behavior of the customer, wherein the current shopping information comprises an indication of a first location visited by the customer;

determining, by the computer system, a length of time that the customer visited the first location based on the current shopping information;

determining, by the computer system, that no item from the first location was scanned during the current shopping trip; and

determining, by the computer system, a third level of risk based on the determination that no item from the first location was scanned, wherein the audit is caused based further on the third level of risk.

8. The method of claim 1, the method further comprising:

obtaining, by the computer system, current shopping information that describes a current shopping behavior of the customer, wherein the current shopping information comprises an indication of a plurality of locations visited by the customer during the current shopping trip;

determining, by the computer system, that an item that was scanned during the current shopping trip is not shelved at any one of the plurality of location visited by the customer; and

determining, by the computer system, a third level of risk based on the determination that the item that was scanned is not shelved at any one of the plurality of location visited by the customer, wherein the audit is caused based further on the third level of risk.

9. The method of claim 1, the method further comprising:

obtaining, by the computer system, current shopping information that describes a current shopping behavior of the customer, wherein the current shopping information comprises an indication of a plurality of locations visited by the customer during the current shopping trip;

determining, by the computer system, that the plurality of locations were visited along a particular path; and

determining, by the computer system, a third level of risk based on the path, wherein the audit is caused based further on the third level of risk.

10. The method of claim 1, the method further comprising:

identifying, by the computer system a retail location associated with the current shopping trip;

obtaining, by the computer system, retail profile information associated with the identified retail location; and

determining, by the computer system, a third level of risk based on retail profile information, wherein the audit determination is made based further on the third level of risk.

11. The method of claim 10, wherein the retail profile information comprises a geographic location at which the retail location is located, wherein the third level of risk is based on the geographic location.

12. The method of claim 10, wherein the retail profile information comprises store hours during which the retail location is open, wherein the third level of risk is based on the store hours.

13. The method of claim 12, wherein the third level of risk comprises at least two levels of risk for different store hours such that the third level of risk changes depending on the time.

32. The method of claim 1, the method further comprising:

determining, based on the customer profile information, that the customer has previously abandoned a self-scan shopping basket during a previous shopping trip, wherein the audit is caused based further on the determination that the customer has previously abandoned the self-scan shopping basket during the previous shopping trip.

33. The method of claim 1, the method further comprising:

obtaining an indication of a frequency with which an audit should occur at a retail location at which the current shopping trip takes place, wherein the audit is caused based further on the frequency with which audits should occur storewide within the given time period.

34. The method of claim 33, the method further comprising:

obtaining one or more user-selectable audit parameters from a user associated with the retail location, wherein the frequency is adjusted based on the one or more user-selectable audit parameters.

35. The method of claim 1, the method further comprising:

communicating an alert that indicates that the audit has been caused to occur, wherein the alert comprises one or more messages related to the audit.

36. The method of claim 1, wherein the alert is communicated via a Short Message Service text message.

6. (canceled)

14. A computer-implemented system of selectively auditing baskets in a self-scan system, the system comprising:

a computer system comprising one or more physical processors programmed with computer program instructions that, when executed by the one or more physical processors, cause the computer system to;

receive a customer identification that identifies a customer associated with a current shopping trip;

obtain customer profile information associated with the customer identified by the customer identification, wherein the customer profile information includes an indication of at least a first item that was previously purchased by the customer;

determine that the first item has not been scanned during the current shopping trip;

determine a first level of risk associated with the customer based on the determination that the first item has not been scanned during the current shopping trip;

receive scan information comprising an item identification that identifies a second item that was scanned during the current shopping trip;

obtain item profile information associated with the item identification, wherein the item profile information includes an indication that the second item is packaged in a manner that is used to conceal other items;

determine a second level of risk associated with the second item based on the indication that the second item is packaged in a manner that is used to conceal other items; and

cause an audit to occur based on the first level of risk and the second level of risk.

15. The system of claim 14, wherein the customer profile information includes an identifier associated with a computing device used by the customer, and wherein the computer system is further programmed to:

determine that the computing device is associated with an activity that represents a risk, wherein the first level of risk is based on the activity.

16. The system of claim 14, wherein the customer profile information includes a credit score or credit report related to the customer, and wherein the computer system is further programmed to:

determine that the credit score or credit report represents a risk, wherein the first level of risk is based on the determined risk.

17. The system of claim 14, wherein the customer profile information indicates a use by the customer of a stolen, lost, or over-limit credit card, and wherein the computer system is further programmed to:

determine that the use of the stolen, lost, or over-limit credit card represents a risk, wherein the first level of risk is based on the determined risk.

18. The system of claim 14, wherein the customer profile information includes demographic information of the customer, and wherein the computer system is further programmed to:

determine a third item expected to be purchased by the customer based on the demographic information;

determine that the third item has not been scanned during the current shopping trip; and

wherein the first level of risk is based further on the determination that the third item has not been scanned during the current shopping trip.

20. The system of claim 14, wherein the computer system is further programmed to:

obtain current shopping information that describes a current shopping behavior of the customer, wherein the current shopping information comprises an indication of a first location visited by the customer;

determine a length of time that the customer visited the first location based on the current shopping information;

determine that no item from the first location was scanned during the current shopping trip; and

determine a third level of risk based on the determination that no item from the first location was scanned, wherein the audit is caused based further on the third level of risk.

21. The system of claim 14, wherein the computer system is further programmed to:

obtain current shopping information that describes a current shopping behavior of the customer, wherein the current shopping information comprises an indication of a plurality of locations visited by the customer during the current shopping trip;

determine that an item that was scanned during the current shopping trip is not shelved at any one of the plurality of location visited by the customer; and

determine a third level of risk based on the determination that the item that was scanned is not shelved at any one of the plurality of location visited by the customer, wherein the audit is caused based further on the third level of risk.

22. The system of claim 14, wherein the computer system is further programmed to:

obtain current shopping information that describes a current shopping behavior of the customer, wherein the current shopping information comprises an indication of a plurality of locations visited by the customer during the current shopping trip;

determine that the plurality of locations were visited along a particular path; and

determine a third level of risk based on the path, wherein the audit is caused based further on the third level of risk.

23. The system of claim 14, wherein the computer system is further programmed to:

identify a retail location associated with the current shopping trip;

obtain retail profile information associated with the identified retail location; and

determine a third level of risk based on retail profile information, wherein the audit determination is made based further on the third level of risk.

24. The system of claim 23, wherein the retail profile information comprises a geographic location at which the retail location is located, and wherein the third level of risk is based on the geographic location.

25. The system of claim 23, wherein the retail profile information comprises store hours during which the retail location is open, and wherein the third level of risk is based on the store hours.

26. The system of claim 25, wherein the third level of risk comprises at least two levels of risk for different store hours such that the third level of risk changes depending on the time.

19. (canceled)

27-31. -31. (canceled)