SYSTEMS AND METHODS FOR MONITORING ACTIVITY WITHIN RETAIL ENVIRONMENTS USING NETWORK AUDIT TOKENS

• US 20140283025A1
• Filed: 03/14/2013
• Published: 09/18/2014
• Est. Priority Date: 03/14/2013
• Status: Abandoned Application

• Current Assignee: Toshiba Global Commerce Solutions Holdings Corporation (Toshiba Corporation)
• Original Assignee: Toshiba Global Commerce Solutions Holdings Corporation (Toshiba Corporation)
• Inventors: Rodriguez, Adrian X., Herring, Dean F., Johnson, Brad M., Smith, Jeffrey J. J.
• Application Number:
  US13/804,926
• Publication Number:
  US 20140283025A1
• Time in Patent Office: Days
• US Class Current: 726/22
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Systems and methods for monitoring activity within retail environments using network audit tokens are disclosed herein. According to an aspect, a method may include using a processor and memory of a first computing device for determining information associated with an activity of the first computing device within a network environment. The method also includes receiving a network audit token from a second computing device within the retail environment. Further, the method includes communicating the information associated with the activity to a third computing device in response to receipt of the network audit token.

Claims

1. A method comprising:

at a first computing device comprising a processor and memory;

determining information associated with an activity of the first computing device within a retail environment;

receiving a network audit token from a second computing device within the retail environment; and

in response to receipt of the network audit token, communicating the information associated with the activity to a third computing device.

2. The method of claim 1, wherein determining information associated with an activity of the first computing device comprises determining one of a location of the first computing device within the retail environment, a movement of the first computing device within the retail environment, relationship and distance between other tokens, connection with information source, time, movement, and idle time.

3. The method of claim 1, further comprising receiving information associated with an activity of the second computing device.

4. The method of claim 3, further comprising communicating, to the third computing device, the information associated with the activity of the second computing device.

5. The method of claim 1, wherein the third computing device comprises a processor and memory, and

wherein the method further comprises:

at the third computing device;

receiving the information associated with the activity of the first computing device;

receiving information associated with activities of other computing devices within the retail environment; and

analyzing the information associated with the activities of the first computing device and the other computing devices for detecting an abnormal consumer activity within the retail environment.

6. The method of claim 5, further comprising:

at the third computing device;

detecting an abnormal consumer activity associated with one of the computing devices within the retail environment based on the information associated with the activities of the first computing device and the other computing devices; and

in response to detecting the abnormal consumer activity, implementing a predetermined action.

7. The method of claim 6, wherein detecting the abnormal consumer activity comprises detecting whether an activity of the one of the computing devices meets predetermined criteria.

8. The method of claim 7, wherein detecting whether an activity of one of the computing devices meets predetermined criteria comprises determining whether a time spent by the one of the computing devices within an area of the retail environment deviates a predetermined amount from others of the computing devices, and

wherein implementing a predetermined action comprises implementing the predetermined action in response to determining that the time spent deviates the predetermined amount.

9. The method of claim 7, wherein detecting whether an activity of one of the computing devices meets predetermined criteria comprises determining whether an item is scanned within a predetermined area within the retail environment, and

wherein implementing a predetermined action comprises implementing the predetermined action in response to determining that the item is scanned within the predetermined area.

10. The method of claim 7, wherein detecting whether an activity of one of the computing devices meets predetermined criteria comprises determining whether an item is scanned at a rate meeting predetermined criteria, and

wherein implementing a predetermined action comprises implementing the predetermined action in response to determining that the item is scanned at the rate meeting the predetermined criteria.

11. The method of claim 6, wherein implementing a predetermined action alerting associates, offering a sale in an area of suspicious activity, and heightening security at a purchase transaction.

12. A method comprising:

at a first computing device comprising a processor and memory;

associating a network audit token with a plurality of computing devices within a retail environment;

receiving the network audit token and information associated with activities of the plurality of computing devices; and

in response to receipt of the network audit token, analyzing the information associated with the activities of the plurality of computing devices for detecting an abnormal consumer activity within the retail environment.

13. The method of claim 12, further comprising:

determining whether the computing devices are located within the retail environment; and

in response to determining that the computing devices are located within the retail environment;

generating the network audit token; and

communicating the network audit token to a second computing device among the plurality of computing devices.

14. The method of claim 13, further comprising:

at the second computing device;

determining information associated with an activity of the second computing device within the retail environment; and

in response to receipt of the network audit token;

communicating the network audit token to a third computing device among the plurality of computing devices; and

communicating, to the third computing device, information associated with the activity of the second computing device.

15. The method of claim 14, further comprising:

at the first computing device;

receiving information associated with activities of the second and third computing devices;

receiving the network audit token; and

in response to receipt of the network audit token, analyzing the information associated with the activities of the second and third computing devices for detecting an abnormal consumer activity within the retail environment.

16. The method of claim 15, further comprising:

at the first computing device;

detecting an abnormal consumer activity associated with one of the second and third computing devices based on the information associated with the activities of the second and third computing devices; and

in response to detecting the abnormal consumer activity associated with one of the second and third computing devices, implementing a predetermined action.

17. The method of claim 16, wherein detecting an abnormal consumer activity comprises detecting whether an activity of one of the second and third computing devices meets predetermined criteria.

18. The method of claim 17, wherein detecting whether an activity of one of the second and third computing devices meets predetermined criteria comprises determining whether a time spent by the one of the second and third computing devices deviates a predetermined amount from the other of the second and third computing devices, and

wherein implementing a predetermined action comprises implementing the predetermined action in response to determining that the time spent deviates the predetermined amount.

19. The method of claim 17, wherein detecting whether an activity of one of the second and third computing devices meets predetermined criteria comprises determining whether an item is scanned within a predetermined area within the retail environment, and

wherein implementing a predetermined action comprises implementing the predetermined action in response to determining that the item is scanned within the predetermined area.

20. The method of claim 17, wherein detecting whether an activity of one of the second and third computing devices meets predetermined criteria comprises determining whether an item is scanned at a rate meeting predetermined criteria, and

wherein implementing a predetermined action comprises implementing the predetermined action in response to determining that the item is scanned at the rate meeting the predetermined criteria.

21. The method of claim 16, wherein implementing a predetermined action comprises alerting associates, offering a sale in an area of suspicious activity, and heightening security at a purchase transaction.

22. A method comprising:

at a first computing device comprising a processor and memory;

receiving information associated with an activity of a second computing device within a retail environment;

determining whether the second computing device and a third computing device meet a predetermined proximity requirement;

in response to determining that the second and third computing devices meet the predetermined proximity requirement, permitting receipt of information associated with an activity of the third computing device for analyzing the information to detect abnormal consumer activity within the retail environment.

23. The method of claim 22, further comprising:

receiving information associated with the activity of the third computing device within the retail environment; and

analyzing the information associated with the activities of the second and third computing devices to detect the abnormal consumer activity within the retail environment.

24. The method of claim 23, further comprising:

at the third computing device;

detecting an abnormal consumer activity associated with one of the second and third computing devices within the retail environment based on the information associated with the activities of the second and third computing devices; and

in response to detecting the abnormal consumer activity associated with one of the second and third computing devices, implementing a predetermined action.

25. The method of claim 24, wherein detecting the abnormal consumer activity comprises detecting whether an activity of one of the second and third computing devices meets predetermined criteria.

26. The method of claim 25, wherein detecting whether an activity of one of the second and third computing devices meets predetermined criteria comprises determining whether a time spent by the one of the second and third computing devices within an area of the retail environment deviates a predetermined amount from the other of the second and third computing devices, and

wherein implementing a predetermined action comprises implementing the predetermined action in response to determining that the time spent deviates the predetermined amount.

27. The method of claim 25, wherein detecting whether an activity of one of the second and third computing devices meets predetermined criteria comprises determining whether an item is scanned within a predetermined area within the retail environment, and

wherein implementing a predetermined action comprises implementing the predetermined action in response to determining that the item is scanned within the predetermined area.

28. The method of claim 25, wherein detecting whether an activity of one of the second and third computing devices meets predetermined criteria comprises determining whether an item is scanned at a rate meeting predetermined criteria, and

wherein implementing a predetermined action comprises implementing the predetermined action in response to determining that the item is scanned at the rate meeting the predetermined criteria.

29. The method of claim 24, wherein implementing a predetermined action alerting associates, offering a sale in an area of suspicious activity, and heightening security at a purchase transaction.

30. A computing device comprising:

a processor and memory; and

an activity management module configured to;

determine information associated with an activity of a first computing device within a retail environment;

receive a network audit token from a second computing device within the retail environment; and

communicate the information associated with the activity to a third computing device in response to receipt of the network audit token.

31. A computing device comprising:

a processor and memory; and

an activity control module configured to;

associate a network audit token with a plurality of computing devices within a retail environment;

receive the network audit token and information associated with activities of the plurality of computing devices; and

analyze the information associated with the activities of the plurality of computing devices for detecting an abnormal consumer activity within the retail environment in response to receipt of the network audit token.

32. A computing device comprising:

a processor and memory; and

an activity control module of a first computing device configured to;

receive information associated with an activity of a second computing device within a retail environment;

determine whether the second computing device and a third computing device meet a predetermined proximity requirement;

permit receipt of information associated with an activity of the third computing device for analyzing the information to detect abnormal consumer activity within the retail environment in response to determining that the second and third computing devices meet the predetermined proximity requirement.

33. A computer program product for monitoring activity within a retail environment, said computer program product comprising:

a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising;

computer readable program code configured to determine information associated with an activity of a first computing device within a retail environment;

computer readable program code configured to receive a network audit token from a second computing device within the retail environment; and

computer readable program code configured to communicate the information associated with the activity to a third computing device in response to receipt of the network audit token.

34. A computer program product for monitoring activity within a retail environment, said computer program product comprising:

a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising;

computer readable program code configured to associate a network audit token with a plurality of computing devices within a retail environment;

computer readable program code configured to receive the network audit token and information associated with activities of the plurality of computing devices; and

computer readable program code configured to analyze the information associated with the activities of the plurality of computing devices for detecting an abnormal consumer activity within the retail environment in response to receipt of the network audit token.

35. A computer program product for monitoring activity within a retail environment, said computer program product comprising:

a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising;

computer readable program code configured to receive, at a first computing device, information associated with an activity of a second computing device within a retail environment;

computer readable program code configured to determine whether the second computing device and a third computing device meet a predetermined proximity requirement;

computer readable program code configured to permit receipt of information associated with an activity of the third computing device for analyzing the information to detect abnormal consumer activity within the retail environment in response to determining that the second and third computing devices meet the predetermined proximity requirement.