Creating Contact Driver Models

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Automated Suggestions on Contact Driver Models

You can efficiently maintain Contact Drivers by automatically identifying gaps in existing configurations and receiving suggested actions to build and enhance them.Before You BeginCreate an Insight Group: Start by creating an insight group for the selected contact driver model to receive automated s

Knowledge Base Article

Getting Started with Sprinklr Service

Reference Guide for Sprinklr Service

Sprinklr Service Glossary

Service Channels

Inbound Voice

Outbound Voice & Dialers

Case Management

Automation and Assignment

Unified Agent Desktop

Supervisor Console

Surveys

Journey Facilitator

Sprinklr Commerce

Workforce Management

Reporting and Analytics

Conversational AI

Digital Twin

IVR

Knowledge base

Community

Quality Management

Conversational Analytics

Introduction

Case Analytics View

What is Conversational Analytics?

What is Sprinklr Data Ingestion?

Introduction

Homepage

Discovering Contact Drivers

Creating Contact Driver Models

Running Contact Driver Models

Maintaining Contact Driver Models

What are Sprinklr's Conversational Analytics Capabilities?

Ingestion Using SFTP/S3/GCP

Getting Started with Conversational Analytics

Cases & Calls

Configuring Insights Hub

PII Masking

Voice Analytics

Reporting

Customer Satisfaction Analysis

Smart Themes

Reporting

Reporting

Agent Assist

Sprinklr AI+

Customer-Facing Guided Workflows

Service Agent Personas