CONGESTION FREE SHOPPING

• US 20140229320A1
• Filed: 02/11/2013
• Published: 08/14/2014
• Est. Priority Date: 02/11/2013
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Mohammed, Siddique A., Schwartz, Robyn R., Shanmugam, Dhandapani
• Application Number:
  US13/764,236
• Publication Number:
  US 20140229320A1
• Time in Patent Office: Days
• US Class Current: 705/26.7
• CPC Class Codes: G06Q 30/0639 Item locations

Abstract

Customer traffic flow in a retail store is managed to reduce congestion in the aisles. A processor receives individual shopping lists from customer'"'"'s handheld devices as they enter the store. The processor may augment the lists with cross-sell items and up-sell items based on customer profile data and projected congestion near the cross-sell and up-sell items. The processor computes an optimized path for each customer to minimize congestion and provides the path as a recommendation to each customer via their handheld device.

Claims

1. A method of managing customer traffic flow in a retail store, comprising the steps of:

receiving shopping lists of items from customers prior to or upon their entry into a retail store;

for each customer who provides a shopping list, offering cross-sell and up-sell items appended to said shopping list; and

providing an optimized suggested path through said retail store to each said customer based upon all of the appended to shopping lists, the number of adults and children visiting said retail store together for each customer, and current store layout of said items.

2. The method of claim 1, wherein first additional customers are present in said store who have not presented a shopping list, and said optimized suggested path is further based on an estimated location and number of said first additional customers at each point in time.

3. The method of claim 2, wherein second additional customers without shopping lists are estimated to enter said retail store during the time one said customer is present in said retail store, and said optimized suggested path is further based on an estimated location and number of said second additional customers at each point in time said one said customer is present in said retail store.

4. The method of claim 1, wherein said offering of cross-sell and up-sell items are based upon customer profile or buying opportunity indices, or customer solution offerings.

5. The method of claim 4, wherein said offering of cross-sell and up-sell items are further based upon number and projected location of said customers at each point in time, and location of said cross-sell and up-sell items in said retail store.

6. A system for managing customer traffic flow in a retail store, comprising:

a retail store having items located on shelves along aisles;

a plurality of portable devices, carried by a plurality of customers in said retail store, each of said devices having a shopping list, including the number of adults and children visiting said retail store together;

a processor in communication with said portable devices, said processor programmed to provide cross-sell items and up-sell items appended to each said shopping list; and

said processor programmed to provide an optimized suggested path through said retail store to each said customer based upon all of the appended to shopping lists, the number of adults and children visiting said retail store together for each customer, and current store layout of said items.

7. The system of claim 6, wherein first additional customers are present in said store who have not presented a shopping list, and said optimized suggested path is further based on an estimated location and number of said first additional customers at each point in time.

8. The system of claim 7, wherein second additional customers without shopping lists are estimated to enter said retail store during the time one said customer is present in said retail store, and said optimized suggested path is further based on an estimated location and number of said second additional customers at each point in time said one said customer is present in said retail store.

9. The system of claim 6, wherein said offering of cross-sell and up-sell items are based upon customer profile or buying opportunity indices, or customer solution offerings.

10. The system of claim 9, wherein said offering of cross-sell and up-sell items are further based upon number and projected location of said customers at each point in time, and location of said cross-sell and up-sell items in said retail store.

11. A computer program product for managing customer traffic flow in a retail store, said computer program product comprising:

a computer readable storage device;

first program instruction means for receiving shopping lists of items from customers prior to or upon their entry into a retail store;

second program instruction means for offering for each customer who provides a shopping list, cross-sell and up-sell items appended to said shopping list; and

third program instruction means for providing an optimized suggested path through said retail store to each said customer based upon all of the appended to shopping lists, the number of adults and children visiting said retail store together for each customer, and current store layout of said items; and

wherein all said program instructions means are recorded on said storage device.

12. The computer program product of claim 11, wherein first additional customers are present in said store who have not presented a shopping list, and said optimized suggested path is further based on an estimated location and number of said first additional customers at each point in time.

13. The computer program product of claim 12, wherein second additional customers without shopping lists are estimated to enter said retail store during the time one said customer is present in said retail store, and said optimized suggested path is further based on an estimated location and number of said second additional customers at each point in time said one said customer is present in said retail store.

14. The computer program product of claim 11, wherein said offering of cross-sell and up-sell items are based upon customer profile or buying opportunity indices, or customer solution offerings.

15. The computer program product of claim 14, wherein said offering of cross-sell and up-sell items are further based upon number and projected location of said customers at each point in time, and location of said cross-sell and up-sell items in said retail store.