ELECTRONIC SHOPPING SYSTEM AND SERVICE

• US 20140279208A1
• Filed: 03/14/2014
• Published: 09/18/2014
• Est. Priority Date: 03/14/2013
• Status: Abandoned Application

• Current Assignee: Rosie Applications, Inc. (Maplebear Inc.)
• Original Assignee: Rosie
• Inventors: NICKITAS, Nickita Michael, RYZEWIC, Michael John Remmer
• Application Number:
  US14/213,303
• Publication Number:
  US 20140279208A1
• Time in Patent Office: Days
• US Class Current: 705/26.7
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

Systems and methods are described for providing an electronic shopping system/service. A computer server for providing an electronic shopping service includes a purchase predictive data collector configured to collect purchase predictive data of a user, a product purchase interval predictor configured to predict a product purchase interval of a product for the user at least partially based on the purchase predictive data of the user, and a product recommender configured to recommend additional products to the user at least partially based on the purchase predictive data of the user and to provide data analytics and shopper marketing to retailers, wholesalers, or consumer packaged goods (CPG) companies.

Claims

1. A computer server for providing an electronic shopping service, comprising:

a purchase predictive data collector configured to collect purchase predictive data of a user;

a product purchase interval predictor configured to predict a product purchase interval of a product for the user at least partially based on the purchase predictive data of the user; and

a product recommender configured to recommend additional products to the user at least partially based on the purchase predictive data of the user and to provide data analytics and shopper marketing to retailers, wholesalers, or consumer packaged goods (CPG) companies.

2. The computer server of claim 1, wherein the purchase predictive data collector is further configured to normalize the purchase predictive data of the user.

3. The computer server of claim 1, wherein the product purchase interval predictor is further configured to calculate a user product lifetime and a final product lifetime.

4. The computer server of claim 1, wherein the product purchase interval predictor is further configured to consider an action of delaying purchase of the product by the user when predicting the product purchase interval of the product for the user.

5. The computer server of claim 1, wherein the product purchase interval predictor is further configured to consider a last purchase of the product by the user when predicting the product purchase interval of the product for the user.

6. The computer server of claim 1, wherein the product recommender is further configured to consider purchases by other users when recommending the additional products to the user.

7. The computer server of claim 6, wherein the product recommender is further configured to identify the other users based on their similarities to the user.

8. The computer server of claim 1, wherein the product recommender is further configured to identify purchasing opportunities to increase sales for at least one of the retailers, the wholesalers, or the CPG companies.

9. The computer server of claim 1, wherein the product recommender is further configured to analyze customers of the electronic shopping service.

10. The computer server of claim 1, further comprising a dynamic aisle manager configured to maintain a dynamic aisle for the user.

11. The computer server of claim 10, wherein the dynamic aisle manager is further configured to add the additional products to the dynamic aisle for the user.

12. The computer server of claim 1, further comprising a third-party integration interface configured to interact with at least one third-party.

13. The computer server of claim 12, wherein the at least one third-party includes at least one of a retailer, a wholesaler, and a consumer packaged goods (CPG) company.

14. A computerized method of providing electronic shopping service, comprising:

automatically collecting purchase predictive data of a user by a purchase predictive data collector;

predicting a product purchase interval of a product for the user at least partially based on the purchase predictive data of the user by a product purchase interval predictor;

recommending additional products to the user at least partially based on the purchase predictive data of the user by a product recommender; and

providing data analytics and shopper marketing to retailers, wholesalers, or consumer packaged goods (CPG) companies.

15. The computerized method of claim 14, further comprising normalizing the purchase predictive data of the user.

16. The computerized method of claim 14, further comprising calculating a user product lifetime and a final product lifetime.

17. The computerized method of claim 14, further comprising considering an action of delaying purchase of the product by the user when predicting the product purchase interval of the product for the user.

18. The computerized method of claim 14, further comprising considering a last purchase of the product by the user when predicting the product purchase interval of the product for the user.

19. The computerized method of claim 14, further comprising considering purchases by other users when recommending the additional products to the user.

20. The computerized method of claim 19, further comprising identifying the other users based on their similarities to the user.

21. The computerized method of claim 14, further comprising identifying purchasing opportunities to increase sales for at least one of the retailers, the wholesalers, or the CPG companies.

22. The computerized method of claim 14, further comprising interacting with at least one third-party.

23. The computerized method of claim 22, wherein the at least one third-party includes at least one of a retailer, a wholesaler, and a consumer packaged goods (CPG) company.