IP Library Granted Patent US 10,410,218
Granted Patent B2
US 10,410,218 · App. 15/714,228 · Granted Sep 10, 2019

Customer management system

Inventor: Tomas Gorny (Scottsdale, AZ)
Assignee: Nextiva, Inc.
G06Q30/01
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Quick Facts
Patent No.
US 10,410,218
App. No.
15/714,228
Granted
Sep 10, 2019
Kind
B2
Abstract

A system and method are disclosed for scoring an interaction over one or more channels by an end user and an entity by monitoring the communications over the channels and assigning penalties and scores based on topics associated with the communications.

Claims (71)

1. A method of customer management, comprising:

receiving, by a computer comprising a memory and a processor, a request for a satisfaction score of one or more end users;

scoring the satisfaction score by:

determining a topic associated with the one or more end users;

retrieving a penalty point associated with the topic;

calculating the satisfaction score for the one or more end users using a scoring equation comprising the penalty point associated with the topic;

comparing a response to the one or more end users with one or more response times ranges of values, wherein each range of values is associated with an expected response time; and

updating the satisfaction score to include the penalty point associated with the topic if the response to the one or more end users exceeds the expected response time; and

displaying the satisfaction score of the one or more end users.

2. The method of claim 1 , further comprising:

receiving a request for a current entity ranking;

associating the satisfaction score of the one or more end users to one or more entities;

calculating a value comprising the satisfaction scores for each of the one or more end users associated with the one or more entities; and

ranking the entities by the values.

3. The method of claim 1 , further comprising:

determining whether a status of a ticket associated with one or more end users is open or closed.

4. The method of claim 3 , wherein the scoring equation comprises one or more weighting factors.

5. The method of claim 1 , wherein calculating the satisfaction score comprises:

monitoring communications over one or more channels between the one or more end users and one or more entities;

associating the communications with the topic and the one or more channels; and

scoring each of the communications according to a scoring equation comprising a penalty point associated with either or both of the topic and the one or more channels.

6. The method of claim 5 , wherein the scoring equation further comprises an evaporation period.

7. A customer management system, comprising:

one or more databases that store one or more penalty points associated with one or more topics;

a computer comprising a memory and a processor that:

receives a request for a satisfaction score of one or more end users and scores the satisfaction score by:

determining a topic associated with the one or more end users;

retrieving a penalty point associated with a topic;

calculating a satisfaction score for the one or more end users using a scoring equation comprising the penalty point associated with the topic;

comparing a response to the one or more end users with one or more response times ranges of values, wherein each range of values is associated with an expected response time; and

updating the satisfaction score to include the penalty point associated with the topic if the response to the one or more end users exceeds the expected response time; and

displays the satisfaction score of the one or more end users.

8. The system of claim 7 , wherein the computer further:

receives a request for a current entity ranking;

associates the satisfaction score of the one or more end users to one or more entities;

calculates a value comprising the satisfaction scores for each of the one or more end users associated with the one or more entities; and

ranks the entities by the values.

9. The system of claim 7 , wherein the computer further:

determines whether a status of a ticket associated with one or more end users is open or closed.

10. The system of claim 9 , wherein the scoring equation comprises one or more weighting factors.

11. The system of claim 7 , wherein calculating the satisfaction score comprises:

monitoring communications over one or more channels between the one or more end users and one or more entities;

associating the communications with the topic and one or more channels; and

scoring each of the communications according to a scoring equation comprising a penalty point associated with either or both of the topic and the one or more channels.

12. The system of claim 11 , wherein the scoring equation further comprises an evaporation period.

13. The system of claim 11 , wherein the computer further:

determines a response time associated with each of the communications and an overage penalty.

14. A non-transitory computer-readable medium embodied with software, the software when executed using one or more computer systems is programmed to:

receive a request for a satisfaction score of one or more end users;

score the satisfaction score by:

determining a topic associated with the one or more end users;

retrieving a penalty point associated with a topic;

calculating a satisfaction score for the one or more end users using a scoring equation comprising the penalty point associated with the topic;

comparing a response to the one or more end users with one or more response times ranges of values, wherein each range of values is associated with an expected response time; and

updating the satisfaction score to include the penalty point associated with the topic if the response to the one or more end users exceeds the expected response time; and

display the satisfaction score of the one or more end users.

15. The non-transitory computer-readable medium of claim 14 , wherein the software is further programmed to:

receive a request for a current entity ranking;

associate the satisfaction score of the one or more end users to one or more entities;

calculate a value comprising the satisfaction scores for each of the one or more end users associated with the one or more entities; and

rank the entities by the values.

16. The non-transitory computer-readable medium of claim 14 , wherein the software is further programmed to:

determine whether a status of a ticket associated with one or more end users is open or closed.

17. The non-transitory computer-readable medium of claim 16 , wherein the scoring equation comprises one or more weighting factors.

18. The non-transitory computer-readable medium of claim 14 , wherein calculating the satisfaction score comprises:

monitoring communications over one or more channels between the one or more end users and one or more entities;

associating the communications with the topic and one or more channels; and

scoring each of the communications according to a scoring equation comprising a penalty point associated with either or both of the topic and the one or more channels.

19. The non-transitory computer-readable medium of claim 18 , wherein the scoring equation further comprises an evaporation period.

20. The non-transitory computer-readable medium of claim 19 , wherein the software is further programmed to:

determine a response time associated with each of the communications and an overage penalty.

Assignments (2)
CORRECTIVE ASSIGNMENT TO CORRECT THE CORRECT THE PROPERTY NUMBERS PREVIOUSLY RECORDED AT REEL: 67172 FRAME: 404. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Apr 23, 2024
From: NEXTIVA, INC.; THRIO, INC.
To: WELLS FARGO BANK, NATIONAL ASSOCIATION, AS ADMINISTRATIVE AGENT
Reel/Frame 067308/0183 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 9, 2018
From: GORNY, TOMAS
To: NEXTIVA, INC.
Reel/Frame 047463/0213 →
Continuity (3)
Continuation In Part 15651372 · Jul 17, 2017
Continuation 14485626 · Sep 12, 2014
Related Publication 20180025360A1 · Jan 25, 2018