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|definition=Predictive Routing enables you to use AI to engage customers and predict the best resource for an optimal outcome, report on results, evaluate how well your resources drive desired business outcomes, and use your findings to update the predictive model for retraining and optimize your strategy.
 
|definition=Predictive Routing enables you to use AI to engage customers and predict the best resource for an optimal outcome, report on results, evaluate how well your resources drive desired business outcomes, and use your findings to update the predictive model for retraining and optimize your strategy.
 
|ComingSoon=No
 
|ComingSoon=No
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|MintyDocsProductLandingSections={{MintyDocsProductLandingSections
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|Platform=PureEngage
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|Type=XYZ Documentation
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|Description=The following guides explain how to deploy, maintain, and use Genesys Predictive Routing (GPR).
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|Links={{Link-SomewhereInThisVersion|manual=Deployment|display text=Deployment and Operations Guide}} - Contains the following information:
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*system requirements, prerequisites, and sizing
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*deploy the GPR on-premises components, including integration with the Genesys Routing and Genesys Reporting solutions
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*monitor logs and troubleshoot common issues with the on-premises components
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{{Link-SomewhereInThisVersion|manual=Help}} - Explains how to use the GPR web application to do the following:
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*manage user and accounts
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*upload and manage data
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*create, train, and test Predictors and Models
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*run analysis reports to assess GPR performance
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|Columns=No
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}}
 
}}
 
}}

Revision as of 16:23, October 23, 2019

This is a draft page; the published version of this page can be found at PE-GPR.
Click on any of the following to see the documentation for that version:

ReleaseNotes.png

Release Notes

InstallConfig.png

Install and Config

Retrieved from "https://all.docs.genesys.com/Draft:PE-GPR (2025-06-20 23:24:51)"