SYSTEMS AND METHODS FOR DETERMINING OR IMPROVING PRODUCT PLACEMENT AND/OR STORE LAYOUT BY ESTIMATING CUSTOMER PATHS USING LIMITED INFORMATION

• US 20180094936A1
• Filed: 10/04/2017
• Published: 04/05/2018
• Est. Priority Date: 10/05/2016
• Status: Abandoned Application

• Current Assignee: Walmart Apollo, LLC (WalMart Inc.)
• Original Assignee: Wal-Mart Stores Texas LLC (WalMart Inc.)
• Inventors: Jones, Nicholaus A., Lewis, Steven, Biermann, Matthew
• Application Number:
  US15/724,323
• Publication Number:
  US 20180094936A1
• Time in Patent Office: Days
• CPC Class Codes: G01C 21/206 specially adapted for indoor navigation
• CPC Class Codes: G06Q 10/047 Optimisation of routes or paths, e.g. travelling salesman problem
• CPC Class Codes: G06Q 30/0639 Item locations
• CPC Class Codes: G06Q 90/20 Destination assistance within a business structure or complex
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/33 for indoor environments, e.g. buildings
• CPC Class Codes: H04W 4/35 for the management of goods or merchandise
• CPC Class Codes: H04W 4/80 Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

Embodiments relate to systems and methods for optimizing physical layout of and product placement in a retail environment. Embodiments of systems and methods discussed herein can be used in many ways, including to analyze or determine: placement of a new product; a new location of an existing product; an improved or enhanced store layout; or an original, new store layout. Embodiments use limited information related to a customer entering a retail environment and making a purchase in the retail environment to estimate one or more possible paths taken by the customer in or through the retail environment. The estimated one or more paths then can be used to determine or adjust a physical location of at least one item in the retail environment to optimize physical layout of the retail environment.

Claims

1. A system for optimizing physical layout of and product placement in a retail store comprising:

an electronic customer identification module configured to be arranged in a retail store to identify a customer proximate an entrance into the retail store, the identified entrance defining a first customer path data point comprising a first time stamp;

a point-of-sale (POS) system in the retail store configured to identify a purchase of at least one item by the customer in the retail store, the identified purchase defining a second customer path data point comprising a second time stamp, and the at least one item defining, respectively, at least one intermediary customer path data point; and

a customer path estimation engine communicatively coupled with the customer identification module and the POS system and configured to use the first customer path data point, the second customer path data point, and the at least one intermediary customer path data point to construct at least one time-possible path the customer took between the customer identification module and the POS system, and to use the at least one time-possible path of a plurality of customers to suggest at least one of a change of physical location of at least one item in the retail store, a physical placement of a new item in retail store, or a physical layout of a retail store, to optimize product placement in the retail store.

2. The system of claim 1, wherein the customer is a member of the retail store, and the customer identification module is configured to identify the entrance of the customer into the retail store by membership information of the customer.

3. The system of claim 2, wherein the membership information comprises a membership card.

4. The system of claim 3, wherein the membership card is a physical card, and wherein the customer identification module comprises at least one of a magnetic stripe reader, a bar code reader, a Q-code reader, a contactless electronic payment terminal, a chip-and-pin reader, a scanner, a mouse, a camera, a radio frequency identification (RFID) system, a near-field communication (NFC) antenna, or a keyboard.

5. The system of claim 3, wherein the membership card is electronic, and wherein the customer identification module comprises at least one of a magnetic stripe reader, a bar code reader, a Q-code reader, a contactless electronic payment terminal, a chip-and-pin reader, a scanner, a mouse, a camera, a radio frequency identification (RFID) system, a near-field communication (NFC) antenna, a keyboard, a biometric identification system, a voice recognition system, or a BLUETOOTH system.

6. The system of claim 5, wherein the electronic membership card is displayable on a portable electronic device.

7. The system of claim 6, wherein the portable electronic device comprises at least one of a mobile phone, a tablet computing device, a smart watch, or a wearable smart device.

8. The system of claim 2, wherein the POS system is configured to detect the purchase by the customer by the membership information of the customer.

9. The system of claim 1, further comprising at least one additional electronic detection module configured to be arranged in the retail store to detect a presence of the customer at a location of the at least one additional electronic customer detection module in the retail store, the detected presence defining an additional customer path data point comprising a third time stamp, wherein the customer path estimation engine is communicatively coupled with the additional electronic customer detection module and configured to use the additional customer path data point to construct the at least one time-possible path the customer took between the electronic customer detection module, the additional electronic customer detection module and the POS system.

10. The system of claim 9, wherein the location of the at least one additional customer identification module is at least one of a product demonstration location, a product sampling location, an item display location, an in-store amenity location, a staffed location, or a service location.

11. The system of claim 10, wherein the customer path estimation engine is configured to correlate data from the at least one additional electronic customer identification module with purchase data from the POS and use the correlated data to suggest a change of physical location of at least one item in the retail store to optimize physical layout of the store.

12. The system of claim 1, wherein the customer path estimation engine is communicatively coupled with customer identification modules and POS systems in a plurality of retail stores and configured to use constructed time-possible paths of a plurality of customers in a plurality of retail stores to suggest a change of physical location of at least one item in at least one of the plurality of retail stores to optimize physical layout of the retail store.

13. A method for optimizing physical layout of and product placement in a retail store comprising:

electronically identifying an entrance of a customer into a retail store, the identified entrance defining a first customer path data point comprising a first time stamp;

electronically identifying a purchase of at least one item by the customer in the retail store, the identified purchase defining a second customer path data point comprising a second time stamp, and the at least one item defining, respectively, at least one intermediary customer path data point;

constructing at least one time-possible path the customer took in the store between the detected entrance and the detected purchase; and

suggesting at least one of a change of physical location of at least one item in the retail store, a physical placement of a new item in retail store, or a physical layout of a retail store, to optimize product placement in the retail store, using the at least one constructed time-possible path.

14. The method of claim 13, wherein the customer is a member of the retail store, and wherein the method further comprises identifying the entrance of the customer into the retail store by membership information of the customer.

15. The method of claim 14, wherein identifying the entrance of the customer into the retail store further comprises obtaining the membership information by at least one of a magnetic stripe reader, a bar code reader, a Q-code reader, a contactless electronic payment terminal, a chip-and-pin reader, a scanner, a mouse, a camera, a radio frequency identification (RFID) system, a near-field communication (NFC) antenna, a keyboard, a biometric identification system, a voice recognition system, or a BLUETOOTH system.

16. The method of claim 15, wherein obtaining the membership information further comprises displaying an electronic membership card a portable electronic device.

17. The method of claim 16, wherein the portable electronic device comprises at least one of a mobile phone, a tablet computing device, a smart watch, or a wearable smart device.

18. The method of claim 14, further comprising identifying the purchase by the customer by the membership information of the customer.

19. The method of claim 13, further comprising:

arranging at least one additional electronic customer detection module in the retail store; and

identifying a presence of the customer at a location of the at least one additional electronic customer detection module in the retail store, the identified presence defining an additional customer path data point comprising a third time stamp,

wherein the suggesting further comprises using the additional customer path data point to construct the at least one time-possible path the customer took between the electronic customer detection module, the additional electronic customer detection module and the POS system.

20. The method of claim 19, wherein the arranging further comprises arranging the at least one additional electronic customer detection module at at least one of a product demonstration location, a product sampling location, an item display location, an in-store amenity location, a staffed location, or a service location.

21. The method of claim 20, wherein the suggesting further comprises correlating data from the at least one additional electronic customer detection module with purchase data from the POS, and using the correlated data to suggest a change of physical location of at least one item in the retail store to optimize physical layout of the store.

22. The method of claim 13, further comprising using constructed time-possible paths of a plurality of customers in a plurality of retail stores to suggest a change of physical location of at least one item in at least one of the plurality of retail stores to optimize physical layout of the retail store.