AUTOMATICALLY GENERATING AN OPTIMAL MARKETING MODEL FOR MARKETING PRODUCTS TO CUSTOMERS

• US 20080249858A1
• Filed: 06/18/2007
• Published: 10/09/2008
• Est. Priority Date: 04/03/2007
• Status: Abandoned Application

• Current Assignee: Daedalus Blue LLC
• Original Assignee: Daedalus Blue LLC
• Inventors: Kraemer, James R., Angell, Robert Lee
• Application Number:
  US11/764,524
• Publication Number:
  US 20080249858A1
• 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 30/0244 Optimization
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

A computer implemented method, apparatus, and computer usable program code generating an optimized marketing model for marketing products to customers in a retail facility. In one embodiment, event data is parsed to identify patterns of events, wherein the event data comprises metadata describing events associated with the retail facility; events in the patterns of events that achieve a target outcome are identified to form optimized events. A marketing strategy is generated using the optimized events to form the optimized marketing model.

Claims

1. A computer implemented method for generating an optimized marketing model for marketing items in a retail facility, the computer implemented method comprising:

parsing event data to identify patterns of events, wherein the event data comprises metadata describing events associated with the retail facility;

identifying the events in the patterns of events that achieve a target outcome to form optimized events; and

generating a marketing strategy using the optimized events to form the optimized marketing model.

2. The computer implemented method of claim 1 wherein the target outcome is associated with increasing sales of a set of items.

3. The computer implemented method of claim 1 wherein the target outcome is associated with increasing an amount of time a customer shops in the retail facility.

4. The computer implemented method of claim 1 wherein the optimized marketing model comprises a set of locations for a set of display devices associated with the retail facility, wherein the set of display devices display customized marketing messages to customers.

5. The computer implemented method of claim 1 wherein the optimized marketing model comprises a set of locations for placement of a set of items associated with the retail facility, wherein the set of locations are locations for the set of items that will increase a likelihood that a customer will purchase an item in the set of items.

6. The computer implemented method of claim 1 further comprising:

receiving video data from a set of cameras associated with the retail facility; and

analyzing the video data to form the event data, wherein analyzing the video data comprises generating the metadata describing the events associated with the retail facility.

7. The computer implemented method of claim 6 wherein analyzing the video data further comprising:

receiving detection data from a set of detectors located inside the retail facility;

analyzing the detection data to form internal data; and

processing the internal data with the video data to form the event data.

8. The computer implemented method of claim 6 wherein analyzing the video data further comprising:

receiving detection data from a set of detectors located outside the retail facility;

analyzing the detection data to form external data; and

processing the external data with the video data to form the event data.

9. The computer implemented method of claim 6 wherein analyzing the video data further comprising:

analyzing the video data with detection data gathered by a set of detectors associated with the retail facility, wherein the set of detectors includes at least one of a microphone, a pressure sensor, a device for detecting odors, a motion detector, and a thermal sensor.

10. The computer implemented method of claim 1, wherein parsing the event data further comprises:

processing the event data using at least one of a statistical method, a data mining method, a causal model, a mathematical model, a marketing model, a behavioral model, a psychological model, a sociological model, or a simulation model.

11. A computer program product comprising:

computer usable program code for generating an optimized marketing model for marketing items in a retail facility, the computer program product comprising;

computer usable program code for parsing event data using data mining techniques to identify patterns of events, wherein the event data comprises metadata describing events associated with the retail facility;

computer usable program code for identifying the events in the patterns of events that achieve a target outcome to form optimized events; and

computer usable program code for generating a marketing strategy using the optimized events to form the optimized marketing model.

12. The computer program product of claim 11 wherein the target outcome is associated with increasing sales of a set of items.

13. The computer program product of claim 11 wherein the target outcome is associated with increasing an amount of time a customer shops in the retail facility.

14. The computer program product of claim 11 wherein the optimized marketing model comprises a set of locations for a set of display devices associated with the retail facility, and wherein the set of display devices display customized marketing messages to customers.

15. The computer program product of claim 11 wherein the optimized marketing model comprises a set of locations for placement of a set of items associated with the retail facility, wherein the set of locations are locations for the set of items that will increase a likelihood that a customer will purchase an item in the set of items.

16. A system for generating an optimized marketing model for marketing items in a retail facility, the system comprising:

a database, wherein the database stores event data associated with the retail facility;

an analysis server, wherein the analysis server parses the event data using data mining techniques to identify patterns of events, wherein the event data comprises metadata describing events associated with the retail facility;

identifies the events in the patterns of events that achieve a target outcome to form optimized events; and

generates a marketing strategy using the optimized events to form the optimized marketing model.

17. The system of claim 16 further comprising:

a set of digital video cameras for gathering detection data for a set of customers associated with the retail facility.

18. The system of claim 16 further comprising:

a smart detection engine, wherein the smart detection engine receives detection data from a set of detectors associated with the retail facility; and

analyzing the detection data to form the event data, wherein analyzing the detection data comprises generating the metadata describing the events associated with the retail facility.

19. The system of claim 16 further comprising:

a set of display devices associated with the retail facility, and wherein the set of display devices display customized marketing messages to customers, and wherein the optimized marketing model provides a set of optimized locations for the set of display devices.

20. The system of claim 16 further comprising:

a device for dispersing an odor-producing chemical into an area of the retail facility, wherein the odor-producing chemical is at least one of a naturally occurring chemical or an artificially created chemical, and wherein the optimized marketing model comprises an identification of a type of odor-producing chemical and a location for dispersing the odor-producing chemical into the area of the retail facility.