System and method for customer interaction management
US-9922649-B1 · Mar 20, 2018 · US
US2018190291A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2018190291-A1 |
| Application number | US-201815908941-A |
| Country | US |
| Kind code | A1 |
| Filing date | Mar 1, 2018 |
| Priority date | Aug 24, 2016 |
| Publication date | Jul 5, 2018 |
| Grant date | — |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
The invention relates to a customer interaction management system that comprises a memory that stores customer profile data and customer interaction data; a voice response input that receives a voice pattern from a customer; and a computer processor, coupled to the memory and the voice response input, programmed to: retrieve customer voice data from a current customer interaction via a voice channel; retrieve data from one or more other interactions via one or more other channels; compare customer voice data to a customer baseline, where the customer baseline is developed from one or more prior customer interactions; generate, using a speech analytics engine, a customer score that indicates customer sentiment based on the customer voice data and data from one or more other interactions; during the current customer interaction, update the customer score based on customer progress data; and develop one or more actions, in response to the customer score.
Opening claim text (preview).
1 .- 20 . (canceled) 21 . A customer interaction management system comprising: a memory that stores customer profile data and customer interaction data; a voice response input that receives a voice pattern from a customer; and a computer processor, coupled to the memory and the voice response input, programmed to: retrieve customer voice data from a current customer interaction via a voice channel, the current customer interaction comprises an interactive voice response (IVR) process; retrieve data from one or more other interactions via one or more other channels relating to account activity on the customer account and transaction activity with one or more merchants; compare the customer voice data to a customer baseline, where the customer baseline is developed from one or more prior customer voice interactions; calculate, using a speech analytics engine, a customer score that indicates customer sentiment based on the customer voice data and the data from one or more other interactions; during the current customer interaction, update the customer score based on customer progress data; and develop one or more actions, in response to the customer score. 22 . The system of claim 21 , wherein the one or more other interactions comprise online channels including web, chat, email and SMS. 23 . The system of claim 21 , wherein the one or more other interactions comprise one or more touch points. 24 . The system of claim 21 , wherein the customer score is based on the customer voice data being a predetermined threshold above the customer baseline. 25 . The system of claim 21 , wherein data from the one or more other interactions is analyzed by a real-time text analytics processor to update the customer score. 26 . The system of claim 21 , wherein data from the one or more other interactions comprises online search terms and results. 27 . The system of claim 21 , wherein the one or more actions comprises involving a supervisor to participate in the customer interaction. 28 . The system of claim 21 , wherein the one or more actions comprises shortening a IVR session. 29 . The system of claim 21 , wherein the one or more actions comprises performing predictive analytics based on the customer interaction data. 30 . The system of claim 21 , wherein the customer is routed to an appropriate agent based on the customer score. 31 . A customer interaction management method, the method comprising the steps of: retrieving, using a voice response input, customer voice data from a current customer interaction via a voice channel, the current customer interaction comprises an interactive voice response (IVR) process; retrieving data from one or more other interactions via one or more other channels relating to account activity on the customer account and transaction activity with one or more merchants; comparing, using a computer processor, the customer voice data to a customer baseline, where the customer baseline is developed from one or more prior customer voice interactions; calculating, using a speech analytics engine, a customer score that indicates customer sentiment based on the customer voice data and the data from one or more other interactions; during the current customer interaction, updating the customer score based on customer progress data; and providing one or more actions, in response to the customer score. 32 . The method of claim 31 , wherein the one or more other interactions comprise online channels including web, chat, email and SMS. 33 . The method of claim 31 , wherein the one or more other interactions comprise one or more touch points. 34 . The method of claim 31 , wherein the customer score is based on the customer voice data being a predetermined threshold above the customer baseline. 35 . The method of claim 31 , wherein data from the one or more other interactions is analyzed by a real-time text analytics processor to update the customer score. 36 . The method of claim 31 , wherein data from the one or more other interactions comprises online search terms and results. 37 . The method of claim 31 , wherein the one or more actions comprises involving a supervisor to participate in the customer interaction. 38 . The method of claim 31 , wherein the one or more actions comprises shortening a IVR session. 39 . The method of claim 31 , wherein the one or more actions comprises performing predictive analytics based on the customer interaction data. 40 . The method of claim 31 , wherein the customer is routed to an appropriate agent based on the customer score.
After-sales · CPC title
Procedures used during a speech recognition process, e.g. man-machine dialogue · CPC title
Call or contact centers supervision arrangements · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.