Difference between revisions of "Draft:PE-GPR"

Latest revision as of 20:50, January 17, 2022

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:

How It Works

Release Notes

Predictive Routing functionality changes are documented in the following Release Notes:

Predictive Routing Release Note for Genesys Multicloud CX- provides model building and training, agent scoring, performance monitoring, the GPR web application, and the GPR API.

Data Loader Release Note- used to upload data automatically from Genesys Info Mart and manually from user-prepared CSV files.

URS Strategy Subroutines Release Note- a set of subroutine files to be incorporated into an existing Routing strategy.

Install and Config

The Deployment and Operations Guide explains how to install and configure the Genesys Predictive Routing (GPR) Data Loader and URS Strategy Subroutines components. The Deployment and Operations Guide contains the following information:

System requirements, Architecture, Sizing

Data Loader deployment

Integrate with Genesys Routing and Reporting

Monitor logs

Help File

The Predictive Routing Help explains how to use the GPR web application.

Manage accounts, users, and roles

View uploaded data

Create, train, and test predictors and models

Assess GPR performance

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+|Links=[https://docs.genesys.com/Documentation/PSAAS/Public/RN/GPR Predictive Routing Release Note for Genesys Multicloud CX]- provides model building and training, agent scoring, performance monitoring, the GPR web application, and the GPR API.
-*system requirements, prerequisites, and sizing
+[https://docs.genesys.com/Documentation/RN/9.0.x/gpm-dtl90rn/gpm-dtl90rn Data Loader Release Note]- used to upload data automatically from Genesys Info Mart and manually from user-prepared CSV files.
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-*monitor logs and troubleshoot common issues with the on-premises components
-{{Link-SomewhereInThisVersion|manual=Help}} - Explains how to use the GPR web application to do the following:
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-*create, train, and test Predictors and Models
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