Location-aware advertising to vending machine users

• US 10,423,980 B2
• Filed: 09/13/2013
• Issued: 09/24/2019
• Est. Priority Date: 09/04/2009
• Status: Active Grant

• Current Assignee: IPS Group Incorporated
• Original Assignee: IPS Group Incorporated
• Inventors: King, David William, Randall, Chad P.
• Primary Examiner(s): Elchanti, Tarek
• Application Number:
  US14/027,011
• Publication Number:
  US 20140040028A1
• Time in Patent Office: 2,202 Days
• Field of Search: 705 2, 705 1436, 705 1453, 705 1458, 705 1464, 379 9312
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0261 based on user location

Abstract

A payment system for parking locations communicates with a plurality of parking meters, each of which is associated with a predetermined geographic location corresponding to a parking location. The system receives user identifying information via a communication related to payment for a parking session at a parking location identified by the communication, and determines a user credit/debit card data for payment of the parking session based on the user identifying information. Data related to the parking session at the geographic location of the parking meter is stored in a database associated with a parking history of the user, and determines one or more advertisements to communicate to the user based on the geographic location of the parking meter and previously stored data related to the parking history of the user.

Claims

1. A method of targeting advertisements, the method comprising:

a) receiving, by a processor, payment information for a vending session at a vending machine associated with a location, the payment information including information associated with a user making a purchase at the vending machine and the geographic location of the vending machine;

b) storing, by the processor, data related to the vending session, including the geographic location and the payment information, in a database associated with vending history of the user, the database comprising location history of the user, the vending history of the user comprising historical time durations of vending sessions, and a profile of the user comprising user preferences;

c) predicting a time duration for the vending session based on historical time durations stored in the database;

d) predicting a likelihood that the user uses one or more products or services offered in the geographic location based on vending history stored in the database;

e) determining, by the processor, one or more advertisements to communicate to the user based on the geographic location of the vending machine and stored data related to the user, the determining based on filtering criteria comprising the predicted time duration of the vending session at the geographic location, the predicted likelihood that the user uses one or more products or services offered in the geographic location, and the user preferences; and

f) communicating the determined one or more advertisements to the user or a device of the user.

2. The method of claim 1, further comprising:

receiving location information related to a geographic location of the user; and

determining the one or more advertisements to communicate to the user based on the location information of the user.

3. The method of claim 2, wherein the geographic location of the user comprises the geographic location of the vending machine.

4. The method of claim 1, wherein the device of the user is a wireless device.

5. The method of claim 1, wherein the stored data comprises a time of the vending session, and determining the one or more advertisements to communicate to the user is further based on the time of the vending session.

6. The method of claim 1, wherein predicting the predicted time duration comprises using the historical time durations stored for other machines within a predetermined distance of the vending machine associated with the specific geographic location of the vending machine.

7. The method of claim 1, wherein the stored data comprises amounts of time paid for by the user, and wherein determining the one or more advertisements to communicate to the user is further based on historical amounts of time paid for by the user.

8. The method of claim 1, further comprising:

receiving the payment information from a wireless device of the user.

9. The method of claim 1, further comprising:

receiving the payment information from a transceiver of the vending machine.

19. The method of claim 1, wherein the predicted likelihood is further based on vending histories of a plurality of users.

20. The method of claim 19, wherein the plurality of users is a particular group or a general population.

10. A payment system for vending locations, the system comprising:

a communication interface that communicates with a plurality of vending machines, each of which is associated with a predetermined geographic location corresponding to a vending location;

a processor that receives user identifying information via a communication related to payment for a vending session at the vending location, and that determines a user payment card data for payment of the vending session based on the user identifying information, wherein the processor stores data related to the vending session at the geographic location of the vending machine in a database associated with vending history of the user, the vending history of the user comprising historical time durations of vending sessions, and a profile of the user comprising user preferences, predicts a likelihood that the user uses one or more products or services offered in the geographic location based on vending history stored in the database, and determines one or more advertisements to communicate to the user based on the geographic location of the vending machine and stored data related to the user, wherein the stored data related to the user comprise location history of the user, wherein the determining is based on filtering criteria comprising the predicted time duration of the vending session at the geographic location, the predicted likelihood that the user uses one or more products or services offered in the geographic location, and the user preferences.

11. The payment system of claim 10, wherein the processor receives location information related to a geographic location of the user, and determines the one or more advertisements to communicate to the user based on the location information of the user.

12. The payment system of claim 11, wherein the geographic location of the user comprises the geographic location of the vending machine.

13. The payment system of claim 10, wherein the processor communicates the determined one or more advertisements to a wireless device of the user.

14. The payment system of claim 10, wherein the stored data comprises a time of the vending session, and the processor determines the one or more advertisements to communicate to the user further based on the time of the vending session.

15. The payment system of claim 10, wherein the processor predicts the predicted time duration using the historical time durations stored for other machines within a certain predetermined distance of the geographic location of the vending machine.

16. The payment system of claim 10, wherein the stored data comprises amounts of time paid for by the user, and the processor determines the one or more advertisements to communicate to the user further based on the historical amounts of time paid for by the user.

17. The payment system of claim 10, wherein the communication originates at a wireless device of the user and the processor receives information identifying the vending machine in the communication.

18. The payment system of claim 10, wherein the communication originates at a transceiver of the vending machine.

21. The payment system of claim 10, wherein the predicted likelihood is further based on vending histories of a plurality of users.

22. The payment system of claim 21, wherein the plurality of users is a particular group or a general population.