GENERATING CUSTOMIZED MARKETING MESSAGES USING AUTOMATICALLY GENERATED CUSTOMER IDENTIFICATION DATA

• US 20080249857A1
• Filed: 05/31/2007
• Published: 10/09/2008
• Est. Priority Date: 04/03/2007
• Status: Active Grant

• Current Assignee: Daedalus Blue LLC
• Original Assignee: International Business Machines Corporation
• Inventors: Angell, Robert Lee, Kraemer, James R.
• Granted Patent: US 9,846,883 B2
• Time in Patent Office: Days
• US Class Current: 705/14
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0271 Personalized advertisement

Abstract

A computer implemented method, apparatus, and computer usable program code for generating customized marketing messages using automatically generated customer identification data. In one embodiment, real-time data for a customer is received from a set of cameras associated with a retail facility to form detection data. The customer is automatically identified using the detection data to form customer identification data. Automatically identifying the customer occurs without human input. A customized marketing message is generated for the customer using the customer identification data.

Claims

1. A computer implemented method for generating customized marketing messages using automatically generated customer identification data, the computer implemented method comprising:

receiving real-time data for a customer from a set of cameras associated with a retail facility to form detection data;

automatically identifying the customer using the detection data to form customer identification data, wherein automatically identifying the customer occurs without human input; and

generating a customized marketing message for the customer using the customer identification data.

2. The computer implemented method of claim 1 wherein the detection data includes images of a face of the customer, and further comprising:

performing a facial recognition analysis on the images of the face of the customer to form facial recognition analysis results;

identifying the customer using the facial recognition analysis results to form the customer identification data.

3. The computer implemented method of claim 1 wherein the detection data includes images of a license plate of a vehicle of the customer, and further comprising:

identifying the customer using a license plate number obtained from the images of the license plate to form the customer identification data.

4. The computer implemented method of claim 1 wherein the detection data includes images of a vehicle of the customer, and further comprising:

identifying the vehicle of the customer using the images of the vehicle of the customer to form vehicle identification data; and

identifying the customer based on the vehicle identification data to form the customer identification data.

5. The computer implemented method of claim 4 wherein vehicle identification data includes at least one of a vehicle make, a vehicle model, a vehicle year, a vehicle color, and vehicle customization features for the vehicle of the customer.

6. The computer implemented method of claim 1 wherein the detection data includes audio data for a voice of the customer, and further comprising:

analyzing the audio data for the voice of the customer to form voice analysis results; and

identifying the customer using the voice analysis results to form the customer identification data.

7. The computer implemented method of claim 1 wherein the detection data includes audio data for an engine of a vehicle associated with the customer, and further comprising:

analyzing the audio data for the engine of the vehicle associated with the customer to form vehicle audio analysis results; and

identifying a type of the vehicle of the customer using the vehicle audio analysis results to form vehicle identification data.

8. The computer implemented method of claim 7 further comprising:

identifying the customer based on the vehicle identification data to form the customer identification data.

9. The computer implemented method of claim 1 wherein generating a customized marketing message for the customer using the identification data further comprises:

analyzing the identification data in a set of data models to identify personalized marketing message criteria for a customer in the set of customers; and

generating the customized marketing message for the customer using the personalized marketing message criteria.

10. The computer implemented method of claim 9 wherein analyzing the dynamic data using a data model to identify personalized marketing message criteria for the customer further comprises:

serially analyzing the dynamic data in a set of data models, wherein results of analyzing the dynamic data in a first data model is utilized as input for analysis in a next data model in the set of data models.

11. The computer implemented method of claim 9 wherein analyzing the identification data in the set of data models further comprises:

processing the identification data with external data to form dynamic data, wherein external data is data gathered by a set of detectors located outside the retail facility and wherein external data identifies a presence of the customer outside the retail facility; and

analyzing the dynamic data in the set of data models to identify the personalized marketing message criteria for the customer.

12. The computer implemented method of claim 9 wherein analyzing the identification data in a set of data models further comprises:

processing the identification data with internal data to form dynamic data, wherein the internal data is data associated with the customer that is gathered by a set of detectors located inside the retail facility; and

analyzing the dynamic data in the set of data models to identify the personalized marketing message criteria for the customer.

13. The computer implemented method of claim 1 wherein the set of cameras are located outside the retail facility and further comprising:

receiving camera images associated with the customer from the set of cameras located externally to the retail facility to form the detection data.

14. The computer implemented method of claim 1 wherein the set of cameras are located inside the retail facility and further comprising:

receiving camera images associated with the customer from the set of cameras located inside the retail facility to form the detection data.

15. A computer program product comprising:

a computer usable medium including computer usable program code for generating customized marketing messages using automatically generated customer identification data, said computer program product comprising;

computer usable program code for receiving real-time data for a customer from a set of cameras associated with a retail facility to form detection data;

computer usable program code for automatically identifying the customer using the detection data to form customer identification data, wherein automatically identifying the customer occurs without human input; and

computer usable program code for generating a customized marketing message for the customer using the customer identification data.

16. The computer program product of claim 15 wherein the detection data includes images of a face of the customer, and further comprising:

performing a facial recognition analysis on the images of the face of the customer to form facial recognition analysis results;

identifying the customer using the facial recognition analysis results to form the customer identification data.

17. The computer program product of claim 15 wherein the detection data includes images of a license plate of a vehicle of the customer, and further comprising:

identifying the customer using a license plate number obtained from the images of the license plate to form the customer identification data.

18. The computer program product of claim 15 wherein the detection data includes images of a vehicle of the customer, and further comprising:

identifying the vehicle of the customer using the images of the vehicle of the customer to form vehicle identification data; and

identifying the customer based on the vehicle identification data to form the customer identification data.

19. The computer program product of claim 15 wherein the detection data includes audio data for a voice of the customer, and further comprising:

analyzing the audio data for the voice of the customer to form voice analysis results; and

identifying the customer using the voice analysis results to form the customer identification data.

20. The computer program product of claim 15 wherein the detection data includes audio data for an engine of a vehicle associated with the customer, and further comprising:

analyzing the audio data for the engine of the vehicle associated with the customer to form vehicle audio analysis results;

identifying a type of the vehicle of the customer using the vehicle audio analysis results to form vehicle identification data; and

identifying the customer based on the vehicle identification data to form the customer identification data.

21. The computer program product of claim 15 wherein generating a customized marketing message for the customer using the identification data further comprises:

analyzing the identification data in a set of data models to identify personalized marketing message criteria for a customer in the set of customers; and

generating the customized marketing message for the customer using the personalized marketing message criteria.

22. The computer program product of claim 21 wherein analyzing the dynamic data using a data model to identify personalized marketing message criteria for the customer further comprises:

serially analyzing the dynamic data in a set of data models, wherein results of analyzing the dynamic data in a first data model is utilized as input for analysis in a next data model in the set of data models.

23. A data processing system for generating customized marketing messages for a customer using grouping data, the data processing system comprising:

a bus system;

a communications system connected to the bus system;

a memory connected to the bus system, wherein the memory includes computer usable program code; and

a processing unit connected to the bus system, wherein the processing unit executes the computer usable program code to receive real-time data for a customer from a set of cameras associated with a retail facility to form detection data;

automatically identify the customer using the detection data to form customer identification data, wherein automatically identifying the customer occurs without human input; and

generate a customized marketing message for the customer using the customer identification data.

24. The data processing system of claim 23 wherein the detection data includes images of a face of the customer, and wherein the processor unit further executes the computer usable program code to perform a facial recognition analysis on the images of the face of the customer to form facial recognition analysis results;

and identify the customer using the facial recognition analysis results to form the customer identification data.

25. The data processing system of claim 23 wherein the detection data includes images of a license plate of a vehicle of the customer, and wherein the processor unit further executes the computer usable program code to identify the customer using a license plate number obtained from the images of the license plate to form the customer identification data.

26. The data processing system of claim 23 wherein the detection data includes images of a vehicle of the customer, and wherein the processor unit further executes the computer usable program code to identify the vehicle of the customer using the images of the vehicle of the customer to form vehicle identification data;

and identify the customer based on the vehicle identification data to form the customer identification data.

27. The data processing system of claim 23 wherein the detection data includes audio data for a voice of the customer, and wherein the processor unit further executes the computer usable program code to analyze the audio data for the voice of the customer to form voice analysis results;

and identify the customer using the voice analysis results to form the customer identification data.

28. The data processing system of claim 23 wherein the detection data includes audio data for an engine of a vehicle associated with the customer, and wherein the processor unit further executes the computer usable program code to analyze the audio data for the engine of the vehicle associated with the customer to form vehicle audio analysis results;

identify a type of the vehicle of the customer using the vehicle audio analysis results to form vehicle identification data; and

identify the customer based on the vehicle identification data to form the customer identification data.

29. A system for generating customized marketing messages using automatically generated customer identification data, the system comprising:

a set of cameras associated with a retail facility, wherein the set of cameras captures real-time data associated with a customer to form detection data;

a smart detection engine, wherein the smart detection engine automatically identifies the customer using the detection data to form customer identification data, and wherein automatically identifying the customer occurs without human input, and wherein a customized marketing message is generated for the customer using the customer identification data.

30. The system of claim 29 further comprising:

an analysis server, wherein the analysis server analyzes the grouping data in a set of data models to identify personalized marketing message criteria for a customer in the set of customers; and

a derived marketing messages component, wherein the derived marketing messages component selects a set of modular marketing messages using the personalized marketing message criteria to form a set of selected modular marketing messages.

31. The system of claim 30 further comprising:

a dynamic marketing message assembly, wherein the dynamic marketing message assembly generates the customized marketing message using the set of selected modular marketing messages to generate the customized marketing message.

32. The system of claim 29 wherein the set of cameras associated with the retail facility is located outside the retail facility.

33. The system of claim 29 wherein the set of cameras associated with the retail facility is located inside the retail facility.

34. The system of claim 29 wherein the set of cameras further comprises:

an audio detecting device, wherein the audio detecting device captures audio associated with the customer to form the detection data.

35. The system of claim 29 further comprising:

a display device coupled to a shopping container, wherein the display device displays the customized marketing message to the customer.

36. The system of claim 29 further comprising:

a printer coupled to a display device, wherein the printer prints the customized marketing message on a paper medium in response to the customer selecting a print option.