CONSUMER PURCHASE DECISION SCORING TOOL

• US 20140358731A1
• Filed: 05/31/2013
• Published: 12/04/2014
• 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
• Granted Patent: US 9,684,927 B2
• Time in Patent Office: Days
• US Class Current: 705/26.61
• 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 cause the computer to perform a method, the method comprising:

receiving, from a user, a target product identifier that identifies a target product;

accessing customer reviews for the target product;

calculating a buy score for the target product based, at least in part, on the accessed customer reviews; and

displaying the buy score.

2. The non-transitory computer-readable medium of claim 1, further comprising:

receiving keywords that identify desired product features of the target product.

3. The non-transitory computer-readable medium of claim 2, further comprising:

sorting the customer reviews based on the keywords; and

displaying the sorted customer reviews.

4. The non-transitory computer-readable medium of claim 2, further comprising:

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

ordering 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, where the customer reviews are accessed on a remote server using an application programming interface.

7. The non-transitory computer-readable medium of claim 1, where multiple sources are accessed for customer reviews.

8. The non-transitory computer-readable medium of claim 1, further comprising:

creating a survey about the target product;

distributing the survey to selected social contacts of the user;

receiving the selected social contacts'"'"' responses to the survey; and

calculating the buy score based at least in part on the on the accessed customer reviews and the selected social contacts'"'"' responses.

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

10. The non-transitory computer-readable medium of claim 8,

where the customer reviews and the selected social contacts'"'"' responses 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 selected social contacts'"'"' responses.

11. The non-transitory computer-readable medium of claim 8, where the selected social contacts are selected from a social networking group.

12. The non-transitory computer-readable medium of claim 1, further comprising:

aggregating operational information about the target product from external websites;

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

displaying the description of the target product.

13. A computing system, comprising:

a receiving logic configured to receive a target identifier that identifies a target product; and

a calculation logic configured to calculate a buy score for the target product.

14. The computing system of claim 13, further comprising a feedback logic comprising:

a customer review logic configured to access customer reviews for the target product; and

where the calculation logic calculates the buy score based, at least in part, on the customer reviews.

15. The computing system of claim 14,

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.

16. The computing system of claim 15,

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

and

ordering the customer reviews based on the relative weight of a keyword included in a customer review.

17. The computing system of claim 14, where the feedback logic further comprises:

a survey logic configured to;

create a survey about the target product;

distribute the survey to selected social contacts; and

receive the selected social contacts'"'"' responses to the survey; and

where the calculation logic calculates the buy score based, at least in part on the selected social contacts'"'"' responses to the survey.

18. A non-transitory computer-readable medium storing computer-executable instructions that when executed by a computer cause the computer to perform a method, the method comprising:

receiving, from a user, a target product identifier for a target product and keywords that identify desired product features of the target product;

creating a survey about the target product based, at least in part, on the keywords;

distributing the survey to selected social contacts of the user;

receiving the selected social contacts'"'"' responses to the survey; and

calculating a buy score based at least in part on the selected social contacts'"'"' responses.

19. The non-transitory computer-readable medium of claim 18, further comprising:

accessing customer reviews for the target product that include at least one of the keywords;

sorting customer reviews based, at least in part, on a weight of a keyword included in a customer review; and

displaying the sorted customer reviews to the user.

20. The non-transitory computer-readable medium of claim 19, further comprising:

calculating the buy score based at least in part on the selected social contacts'"'"' responses and the customer reviews.