AUTOMATICALLY DETECTING LOST SALES DUE TO AN OUT-OF-SHELF CONDITION IN A RETAIL ENVIRONMENT

• US 20140039951A1
• Filed: 09/13/2012
• Published: 02/06/2014
• Est. Priority Date: 08/03/2012
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Appel, Ana Paula, Gatti, Maira Athanazio de Cerqueira, Paula, Rogerio Abreu de
• Application Number:
  US13/613,865
• Publication Number:
  US 20140039951A1
• Time in Patent Office: Days
• US Class Current: 705/7.11
• CPC Class Codes: G06F 18/24 Classification techniques
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06V 20/41 Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items segmenting video sequences G06V20/49
• CPC Class Codes: G06V 20/44 Event detection
• CPC Class Codes: G06V 40/70 Multimodal biometrics, e.g. combining information from different biometric modalities

Abstract

One embodiment of a system for detecting a lost sale due to an out-of-shelf condition in a retail environment includes a plurality of sensors distributed throughout the retail environment for monitoring a current behavior of a customer in the retail environment, a database for storing a purchasing history of the customer, and a matching system for automatically detecting when the customer fails to purchase an expected product, based at least in part on the current behavior and on the purchasing history, and for inferring, based on the automatically detecting, that the expected product is out-of-shelf.

Claims

1. A system for detecting a lost sale due to an out-of-shelf condition in a retail environment, the system comprising:

a plurality of sensors distributed throughout the retail environment for monitoring a behavior of a customer in the retail environment during a current visit to the retail environment, wherein the behavior indicates that the customer wishes to purchase a product during the current visit;

a first database for storing a purchasing history of the customer, wherein the purchasing history identifies that the customer has purchased the product in the retail environment during a past visit to the retail environment; and

a matching system coupled to the at least some of the plurality of sensors and to the first database, for automatically detecting when the customer fails, during the current visit, to purchase the product and for inferring, based on the automatically detecting, that the expected product is out-of-shelf, without necessarily being out-of-stock.

2. The method of claim 1, further comprising:

a tracking system coupled to at least some of the plurality of sensors and to the matching system for tracking a movement of the customer through the retail environment and for detecting when the customer stops in a first section of the retail environment.

3. The system of claim 2, further comprising:

an inventory system coupled to the matching system for identifying a first set of products stocked in the first section of the retail environment and for identifying a purchase made by the customer in the retail environment during the current visit.

4. The system of claim 2, further comprising:

a second database coupled to the tracking system for storing a trajectory tracing the movement of the customer.

5. The system of claim 1, wherein the plurality of sensors comprises at least one imaging sensor.

6. The system of claim 1, wherein the plurality of sensors comprises at least one biometric sensor.

7. The system of claim 6, wherein the at least one biometric sensor comprises at least one fingerprint sensor.

8. The system of claim 6, wherein the at least one biometric sensor comprises at least one ocular feature sensor.

9. The system of claim 1, further comprising:

an identification system coupled to at least some of the plurality of sensors and to the first database for determining an identity of the customer.

10. The system of claim 9, wherein the identification system comprises a facial recognition system.

11. The system of claim 9, wherein the identification system comprises a biometric recognition system.

12. The system of claim 1, wherein the plurality of sensors, the first database, and the matching system are all located within physical boundaries of the retail environment.

13. The system of claim 1, wherein at least one of:

the first database or the matching system is located outside physical boundaries of the retail environment.

14. A system for detecting a lost sale due to an out-of-shelf condition in a retail environment, the system comprising:

a plurality of sensors positioned within the retail environment, where a first subset of the plurality of sensors is positioned to detect an entry of a customer into a retail environment, a second subset of the plurality of sensors is positioned to detect a movement of the customer throughout the retail environment, and a third subset of the plurality of sensors is positioned to detect an exit of the customer from the retail environment;

an identification system coupled to the first subset of the plurality of sensors, for determining an identity of the customer;

a database coupled to the identification system, for storing a profile associated with the customer, the profile including a purchasing history of the customer;

a tracking system coupled to the plurality of sensors, for generating a trajectory that traces the movement of the customer through the retail environment during a current visit to the retail environment, from the entry to the exit, and for detecting when the customer stops in a section of the retail environment during the current visit; and

a matching system coupled to the tracking system and to the identification system, for identifying a product that is both stocked in the section of the retail environment and that appears in the purchasing history as having been purchased by the customer during a past visit to the retail environment, for inferring that the customer wished to purchase the product during a current visit to the retail environment occurring between a time of the entry and a time of the exit, for reviewing a purchase made by the customer during the current visit to the retail environment, and for inferring that the product is out-of-shelf when the product is not part of the purchase.

15. An apparatus comprising computer readable storage medium containing an executable program for detecting a lost sale due to an out-of-shelf condition in a retail environment, where the program performs steps comprising:

automatically detecting when a customer fails to purchase an expected product during a current visit to the retail environment, based at least in part on an observation of a behavior of the customer during the current visit and on a purchasing history of the customer, wherein the behavior indicates that the customer wishes to purchase the expected product during the current visit and the purchasing history identifies the expected product as a product that the customer purchased during a past visit to the retail environment; and

inferring, based on the automatically detecting, that the expected product is out-of-shelf, without necessarily being out-of-stock.

16. The apparatus of claim 15, wherein the automatically detecting comprises:

identifying a first set of products stocked in a first section of the retail environment in which the customer stops during the current visit;

identifying the expected product in the first set of products and in the purchasing history of the customer;

identifying a purchase made by the customer during the current visit in the retail environment; and

detecting that the purchase does not include the expected product.

17. The apparatus of claim 16, wherein the identifying the first set of products comprises:

tracking a movement of the customer through the retail environment;

detecting when the customer stops in the first section of the retail environment; and

retrieving a list of products stocked in the first section of the retail environment from an inventory system.

18. The apparatus of claim 17, wherein the tracking comprises:

capturing identifying data that uniquely identifies the customer from a plurality of physical locations within the retail environment; and

correlating the identifying data in order to construct a trajectory that traces the movement of the customer through the retail environment.

19. The apparatus of claim 18, wherein the identifying data comprises a plurality of images of the customer.

20. The apparatus of claim 18, wherein the identifying data comprises biometric data of the customer.