Consumer purchase decision scoring tool

• US 9,684,927 B2
• Filed: 05/31/2013
• Issued: 06/20/2017
• Est. Priority Date: 05/31/2013
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: Itte, Wilfred, Pochiraju, Suneetha, Corr, Robert, Patel, Dilip
• Primary Examiner(s): ALLEN, WILLIAM J
• Application Number:
  US13/906,412
• Publication Number:
  US 20140358731A1
• Time in Patent Office: 1,481 Days
• CPC Class Codes: G06Q 30/0619 Neutral agent
• CPC Class Codes: G06Q 30/0623 Item investigation
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0641 Shopping interfaces

Abstract

Systems, methods, and other embodiments associated with a consumer purchase decision scoring tool are described. In one embodiment, a method includes receiving a target identifier that identifies a target product. The example method also includes calculating a buy score for the target product.

Claims

1. A non-transitory computer-readable medium storing computer-executable instructions that when executed by a computer including a processor cause the computer to:

execute, by the processor, a scoring tool of a webpage;

identify, by the processor executing the scoring tool, a target product identifier that identifies a target product;

interface, by the processor executing the scoring tool, with an application programming interface (API) of a website to access customer reviews corresponding to the target product identifier and identify rating values from the customer reviews for the target product;

create, by the processor executing the scoring tool, a survey about the target product including questions about the target product and input for responses;

distribute, by the processor executing the scoring tool, the survey to selected social contacts of the user accessed through an API to a social network;

receive, by the processor executing the scoring tool, one or more responses from the selected social contacts to the survey; and

calculate, by the processor executing the scoring tool, a buy score for the target product based, at least in part, on the accessed customer reviews, a combination of the rating values, and the one or more responses from the selected social contacts; and

render, by the processor executing the scoring tool, a user interface including the buy score and at least a portion of the customer reviews in a prioritized list on a display of the computer.

2. The non-transitory computer-readable medium of claim 1, further comprising instructions that when executed by the processor cause the computer to:

receive and identify, from a computer interface, keywords that identify desired product features of the target product.

3. The non-transitory computer-readable medium of claim 2, further comprising instructions that when executed by the processor cause the computer to:

sort the customer reviews based on the keywords; and

render the sorted customer reviews on the display through the user interface.

4. The non-transitory computer-readable medium of claim 2, further comprising instructions that when executed by the processor cause the computer to:

weight the relevance of the keywords based on a user input; and

order the customer reviews based, at least in part, on a weight of a keyword included in a customer review.

5. The non-transitory computer-readable medium of claim 2, where keywords are selected from categories.

6. The non-transitory computer-readable medium of claim 1, wherein accessing, by the processor via the network communications, the one or more websites the customer reviews are accessed on a remote server using an application programming interface.

7. The non-transitory computer-readable medium of claim 1, wherein the customer reviews are retrieved from multiple sources.

8. The non-transitory computer-readable medium of claim 1, where the surveys are created based, at least in part, on keywords that identify one or more product features of the target product.

9. The non-transitory computer-readable medium of claim 1,

where the customer reviews and the responses from the selected social contacts are assigned a relative weight by the user;

and

where calculating the buy score for the target product is based on the weighted customer reviews and the weighted responses from the selected social contacts.

10. The non-transitory computer-readable medium of claim 1, where the selected social contacts are selected from a social networking group.

11. The non-transitory computer-readable medium of claim 1, further comprising instructions that when executed by the processor cause the computer to:

aggregate, by the processor, operational information about the target product from one or more websites;

generate, by the processor, a description of the target product based, at least in part, on the operational information; and

display the description of the target product on the display.

12. A computing system, comprising:

a processor connected to memory; and

a non-transitory computer readable medium configured with instructions that when executed by the processor cause the processor to;

execute a scoring tool of a webpage;

identify, using receiving logic, a target product identifier that identifies a target product;

interface, using feedback logic, with an application programming interface (API) of a website to access customer reviews corresponding to the target product identifier and to identify rating values from the customer reviews

create, using survey logic of the feedback logic, a survey about the target product including questions about the target product and input for responses;

distribute, using survey logic of the feedback logic, the survey to selected social contacts of the user accessed through an API to a social network; and

receive, using survey logic of the feedback logic, responses from the selected social contacts to the survey;

calculate, using score logic, a buy score for the target product based, at least in part, on the customer reviews, a combination of the rating values, and the responses from the selected social contacts to the survey; and

render a user interface including the buy score and at least a portion of the customer reviews in a prioritized list on a display of the computer.

13. The computing system of claim 12,

where the receiving logic is further configured to receive keywords that identify desired product features;

and

where the feedback logic is further configured to sort customer reviews based, at least in part, on the keywords.

14. The computing system of claim 13,

wherein the receiving logic is configured to receive a relative weight for the keywords from the user;

and

wherein the feedback logic includes instructions that when executed by the processor cause the processor to order the customer reviews in a prioritized order based on the relative weight of a keyword included in a customer review.

15. A computer-implemented method performed by a computing device including at least a processor, the method comprising:

executing, by the processor a scoring tool of a webpage, the executing the score tool including;

identifying, by the processor executing the scoring tool, a target product identifier that identifies a target product;

interfacing, by the processor executing the scoring tool, with an application programming interface (API) of a website to access customer reviews corresponding to the target product identifier and to identify rating values from the customer reviews for the target product;

creating, by the processor executing the scoring tool, a survey about the target product including questions about the target product and input for responses;

distributing, by the processor executing the scoring tool, the survey to selected social contacts of the user accessed through an API to a social network;

receiving, by the processor executing the scoring tool, one or more responses to the survey from the selected social contacts;

calculating, by the processor executing the scoring tool, a buy score for the target product based, at least in part, on the retrieved customer reviews, the one or more responses to the survey from the selected social contacts, and a combination of the rating values; and

rendering, by the processor executing the scoring tool, a user interface including the buy score and at least a portion of the customer reviews in a prioritized list on a display of the computing device.