Zero click commerce systems

• US 9,799,046 B2
• Filed: 05/16/2013
• Issued: 10/24/2017
• Est. Priority Date: 05/17/2012
• Status: Active Grant

• Current Assignee: Walmart Apollo, LLC (WalMart Inc.)
• Original Assignee: Wal-Mart Stores Texas LLC (WalMart Inc.)
• Inventors: Stoll, Nathan, Ellerhorst, Andrew
• Primary Examiner(s): Desai, Resha
• Application Number:
  US13/896,310
• Publication Number:
  US 20130311324A1
• Time in Patent Office: 1,622 Days
• Field of Search: 705 261- 272
• CPC Class Codes: G06Q 30/0214 Referral reward systems
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0635 Processing of requisition or of purchase orders
• CPC Class Codes: G06Q 30/0641 Shopping interfaces
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/046 Interoperability with other network applications or services
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]
• CPC Class Codes: H04W 4/21 for social networking applications

Abstract

In accordance with some implementations, a method for enabling clickless purchasing is disclosed. The method is performed on a server system having one or more processors and memory storing one or more programs for execution by the one or more processors. The server system detects commercial intent from a user of the computer system. In response to detecting commercial intent, the server system determines a product relevant to the detected commercial intent of a user. The server system sends a recommendation message to the user, wherein the recommendation message includes an option to purchase the product. The server system then receives a response message from the user, the message including authorization from the user to purchase the recommended product. The server system then purchases the recommended product on behalf of the user and delivers the purchased product to the user.

Claims

1. A method for enabling clickless purchasing, the method comprising, at a computer system comprising one or more processors and memory storing one or more programs for execution by the one or more processors:

detecting a commercial intent from a user registered with the computer system by;

recording online actions of the user, the online actions of the user comprising at least one electronic message posted by the user on a social networking site, wherein the at least one electronic message, includes the commercial intent of the user;

and

analyzing the at least one electronic message by parsing, natural language of the at least one electronic message;

in response to detecting the commercial intent, determining a product relevant to the detected commercial intent of the user;

sending an electronic recommendation message to a client system associated with the user, wherein the electronic recommendation message comprises an option to purchase the product determined to be relevant to the detected commercial intent of the user;

receiving an electronic response message from the client system associated with the user, the electronic response message comprising an authorization from the user to purchase the product determined to be relevant to the detected commercial intent of the user;

in response to receiving the electronic response message comprising the authorization from the user to purchase the product, purchasing the product determined to be relevant to the detected commercial intent of the user on behalf of the user; and

arranging for delivery of the product to the user after purchasing the product.

2. The method of claim 1, wherein the electronic recommendation message comprises an email message.

3. The method of claim 1, wherein the electronic recommendation message comprises a text message.

4. The method of claim 1, wherein the electronic response message received from the user comprises an email message.

5. The method of claim 1, wherein the electronic response message received from the user comprises a text message.

6. The method of claim 1, wherein:

a communication method used to send the electronic recommendation message to the user is different from a communication method the user uses to send the electronic response message to the computer system;

the electronic response message is encrypted; and

the method further comprises identifying the user based on metadata associated with the electronic response message.

7. The method of claim 1, wherein determining the product relevant to the detected commercial intent of the user comprises:

based on the detected commercial intent, identifying one or more product categories of interest to the user of the computer system; and

selecting the product from the one or more product categories of interest to the user of the computer system.

8. The method of claim 7, wherein selecting the product from the one or more product categories of interest to the user of the computer system comprises:

determining a plurality of products that match the one or more identified product categories;

ranking the plurality of products based on information about the user gathered by the computer system; and

selecting a highest ranked product in the plurality of products as the product relevant to the detected commercial intent.

9. The method of claim 1, wherein:

detecting the commercial intent comprises analyzing information publicly posted by the user on the social networking site;

the electronic recommendation message is encrypted and comprises one of an email message or a text message;

the electronic response message received from the user comprises one of an email message or a text message;

determining the product relevant to the detected commercial intent of the user comprises;

based on the detected commercial intent, identifying one or more product categories of interest to the user of the computer system; and

selecting the product from the one or more product categories of interest to the user of the computer system;

selecting the product from the one or more product categories of interest to the user of the computer system comprises;

determining a plurality of products that match the one or more identified product categories;

ranking the plurality of products based on the information about the user gathered by the computer system; and

selecting a highest ranked product in the plurality of products as the product relevant to the detected commercial intent; and

the method further comprises identifying the user based on metadata associated with the electronic response message.

10. The method of claim 1, further comprising:

receiving an indication of a purchase intent from the user prior to sending the electronic recommendation message to the client system associated with the user.

11. A server system for enabling clickless purchasing, the server system comprising:

one or more processors; and

memory storing one or more programs to be executed by the one or more processors, the one or more programs comprising instructions for;

detecting a commercial intent from a user registered with a computer system by;

recording online actions of the user, the online actions of the user comprising at least one electronic message posted by the user on a social networking site, wherein the at least one electronic message, includes the commercial intent of the user; and

analyzing the at least one electronic message by parsing natural language of the at least one electronic;

in response to detecting the commercial intent, determining a product relevant to the detected commercial intent of the user;

sending an electronic recommendation message to a client system associated with the user, wherein the electronic recommendation message comprises an option to purchase the product;

receiving an electronic response message from the client system associated with the user, the electronic response message comprising an authorization from the user to purchase the product;

in response to receiving the electronic response message comprising the authorization from the user to purchase the product, purchasing the product on behalf of the user; and

arranging for delivery of the product to the user after purchasing the product.

12. The server system of claim 11, wherein a communication method used to send the electronic recommendation message to the user is different from a communication method the user uses to send the electronic response message to the computer system.

13. The server system of claim 11, wherein determining the product relevant to the detected commercial intent of the user comprises:

based on the detected commercial intent, identifying one or more product categories of interest to the user of the computer system; and

selecting the product from the one or more product categories of interest to the user of the computer system.

14. The server system of claim 13, wherein selecting the product from the one or more product categories of interest to the user of the computer system comprises:

determining a plurality of products that match the one or more identified product categories;

ranking the plurality of products based on information about the user gathered by the computer system; and

selecting a highest ranked product in the plurality of products as the product relevant to the detected commercial intent.

15. The server system of claim 11, wherein:

detecting the commercial intent comprises analyzing information publicly posted by the user on the social networking site;

a communication method used to send the electronic recommendation message to the user is different from a communication method the user uses to send the electronic response message to the computer system;

determining the product relevant to the detected commercial intent of the user comprises;

based on the detected commercial intent, identifying one or more product categories of interest to the user of the computer system; and

selecting the product from the one or more product categories of interest to the user of the computer system; and

selecting the product from the one or more product categories of interest to the user of the computer system comprises;

determining a plurality of products that match the one or more identified product categories;

ranking the plurality of products based on the information about the user gathered by the computer system; and

selecting a highest ranked product in the plurality of products as the product relevant to the detected commercial intent.

16. The server system of claim 11, wherein the one or more programs further comprise instructions for:

receiving an indication of a purchase intent from the user prior to sending the electronic recommendation message to the client system associated with the user.

17. A non-transitory computer readable storage medium storing one or more programs configured for execution by an electronic device, the one or more programs comprising instructions for:

detecting a commercial intent from a user registered with a computer system by;

recording online actions of the user, the online actions of the user comprising at least one electronic message posted by the user on a social networking site, wherein the at least one electronic message, includes the commercial intent of the user;

analyzing the at least one electronic message by parsing natural language of the at least one electronic message;

in response to detecting the commercial intent, determining a product relevant to the detected commercial intent of the user;

sending an electronic recommendation message to a client system associated with the user, wherein the electronic recommendation message includes an option to purchase the product;

receiving an electronic response message from the client system associated with the user, the electronic response message comprising an authorization from the user to purchase the product;

in response to receiving the electronic response message comprising the authorization from the user to purchase the product, purchasing the product on behalf of the user; and

arranging for delivery of the product to the user after purchasing the product.

18. The non-transitory computer readable storage medium of claim 17, wherein a communication method used to send the electronic recommendation message to the user is different from a communication method the user uses to send the electronic response message to the computer system.

19. The non-transitory computer readable storage medium of claim 17, wherein determining the product relevant to the detected commercial intent of the user comprises:

based on the detected commercial intent, identifying one or more product categories of interest to the user of the computer system; and

selecting the product from the one or more product categories of interest to the user of the computer system.

20. The non-transitory computer readable storage medium of claim 19, wherein selecting the product from the one or more product categories of interest to the user of the computer system comprises:

determining a plurality of products that match the one or more identified product categories;

ranking the plurality of products based on information about the user gathered by the computer system; and

selecting a highest ranked product in the plurality of products as the product relevant to the detected commercial intent.

21. The non-transitory computer readable storage medium of claim 17, wherein:

detecting the commercial intent comprises analyzing information publicly posted by the user on the social networking site;

a communication method used to send the electronic recommendation message to the user is different from a communication method the user uses to send the electronic response message to the computer system;

determining the product relevant to the detected commercial intent of the user comprises;

based on the detected commercial intent, identifying one or more product categories of interest to the user of the computer system; and

selecting the product from the one or more product categories of interest to the user of the computer system; and

selecting the product from the one or more product categories of interest to the user of the computer system comprises;

determining a plurality of products that match the one or more identified product categories;

ranking the plurality of products based on the information about the user gathered by the computer system; and

selecting a highest ranked product in the plurality of products as the product relevant to the detected commercial intent.

22. The non-transitory computer readable storage medium of claim 17, wherein the one or more programs further comprise instructions for:

receiving an indication of a purchase intent from the user prior to sending the electronic recommendation message to the client system associated with the user.