AUTOMATIC COLLECTION AND CORRELATION OF RETAIL METRICS

• US 20100185487A1
• Filed: 01/21/2009
• Published: 07/22/2010
• Est. Priority Date: 01/21/2009
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Patnaik, Yashodhara M., Pahwa, Riju, Cheng, Tsz, Borger, Sergio
• Application Number:
  US12/356,823
• Publication Number:
  US 20100185487A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

The invention provides a method, system, and program product for collecting and correlating retail metrics. In one embodiment, the invention includes providing a spatial representation of a retail space containing a plurality of products, automatically collecting data representing movement of at least one customer within the retail space, obtaining data related to products purchased by the at least one customer, and transforming the movement data and the purchasing data into correlation data representing temporal, spatial, and purchasing metrics within the retail space.

Claims

1. A method of collecting and correlating retail metrics, the method comprising:

providing a spatial representation of a retail space containing a plurality of products;

automatically collecting data representing movement of at least one customer within the retail space;

obtaining data related to products purchased by the at least one customer; and

transforming the movement data and the purchasing data into correlation data representing temporal, spatial, and purchasing metrics within the retail space.

2. The method of claim 1, wherein the spatial representation includes a planogram depicting at least one of the following:

retail departments, categories within retail departments, products within categories, and retail fixtures.

3. The method of claim 1, wherein the data representing movement of the at least one customer is collected using a video camera.

4. The method of claim 1, wherein the data representing movement of the at least one customer includes data representing time spent by the at least one customer within each of a plurality of locations within the retail space.

5. The method of claim 4, wherein the plurality of locations includes a plurality of retail departments.

6. The method of claim 1, wherein the data representing movement of the at least one customer includes data representing adjacency of the at least one customer to a product within the retail space and purchased by the at least one customer.

7. A system for collecting and correlating retail metrics, the system comprising:

a system for providing a spatial representation of a retail space containing a plurality of products;

a system for automatically collecting data representing movement of at least one customer within the retail space;

a system for obtaining data related to products purchased by the at least one customer; and

a system for transforming the movement data and the purchasing data into correlation data representing temporal, spatial, and purchasing metrics within the retail space.

8. The system of claim 7, wherein the spatial representation includes a planogram depicting at least one of the following:

retail departments, categories within retail departments, products within categories, and retail fixtures.

9. The system of claim 7, wherein the data representing movement of the at least one customer is collected using a video camera.

10. The system of claim 7, wherein the data representing movement of the at least one customer includes data representing time spent by the at least one customer within each of a plurality of locations within the retail space.

11. The system of claim 10, wherein the plurality of locations includes a plurality of retail departments.

12. The system of claim 7, wherein the data representing movement of the at least one customer includes data representing adjacency of the at least one customer to a product within the retail space and purchased by the at least one customer.

13. A program product stored on a computer-readable medium, which when executed, collects and correlates retail metrics, the program product comprising:

program code for providing a spatial representation of a retail space containing a plurality of products;

program code for automatically collecting data representing movement of at least one customer within the retail space;

program code for obtaining data related to products purchased by the at least one customer; and

program code for transforming the movement data and the purchasing data into correlation data representing temporal, spatial, and purchasing metrics within the retail space.

14. The program product of claim 13, wherein the spatial representation includes a planogram depicting at least one of the following:

retail departments, categories within retail departments, products within categories, and retail fixtures.

15. The program product of claim 13, wherein the data representing movement of the at least one customer is collected using a video camera.

16. The program product of claim 13, wherein the data representing movement of the at least one customer includes data representing time spent by the at least one customer within each of a plurality of locations within the retail space.

17. The program product of claim 16, wherein the plurality of locations includes a plurality of retail departments.

18. The program product of claim 13, wherein the data representing movement of the at least one customer includes data representing adjacency of the at least one customer to a product within the retail space and purchased by the at least one customer.

19. A method for deploying an application for collecting and correlating retail metrics, comprising:

providing a computer infrastructure being operable to;

provide a spatial representation of a retail space containing a plurality of products;

automatically collect data representing movement of at least one customer within the retail space;

obtain data related to products purchased by the at least one customer; and

transform the movement data and the purchasing data into correlation data representing temporal, spatial, and purchasing metrics within the retail space.

20. The method of claim 19, wherein the data representing movement of the at least one customer is collected using a video camera and the spatial representation includes a planogram depicting at least one of the following:

retail departments, categories within retail departments, products within categories, and retail fixtures.

21. The method of claim 19, wherein the data representing movement of the at least one customer includes data representing adjacency of the at least one customer to a product within the retail space and purchased by the at least one customer.