Description

Introduction

This training provides a comprehensive understanding of Predictive Routing and Customer Insights within Genesys Cloud CX. Participants will learn how AI-driven routing optimizes customer-agent interactions by matching inquiries to the best-qualified agent in real time. The course also explores how Customer Insights enable data-driven personalization, improving engagement quality, operational efficiency, and overall customer satisfaction.

Prerequisites

• Basic understanding of Genesys Cloud CX architecture and routing concepts

• Familiarity with contact center operations and KPIs

• Foundational knowledge of AI, analytics, and data modeling

• Experience with reporting, quality management, or performance analytics is beneficial

Table of Contents

1. Introduction to Predictive Routing

• 1.1 Understanding Predictive Routing in Genesys Cloud CX

• 1.2 Business value and use cases of intelligent routing

• 1.3 Comparison with traditional routing models

2. Components of Predictive Routing

• 2.1 Core AI and Machine Learning models

• 2.2 Data sources: agent profiles, customer history, and interaction data

• 2.3 Skill evaluation and agent performance metrics

• 2.4 Training and refining prediction models

3. Configuring Predictive Routing in Genesys Cloud

• 3.1 Enabling Predictive Routing features

• 3.2 Setting up routing policies and rules

• 3.3 Integrating predictive routing with queues and workflows

• 3.4 Testing and monitoring routing behavior

4. Customer Insights and Data Utilization

• 4.1 Understanding the Customer Insights framework

• 4.2 Analyzing interaction data and behavioral patterns

• 4.3 Creating personalized engagement strategies

• 4.4 Integrating insights into marketing and service strategies

5. AI-Driven Decision Making

• 5.1 Using historical data to improve routing accuracy

• 5.2 Predictive models for intent recognition and next-best action

• 5.3 Continuous learning through feedback and analytics

6. Performance Measurement and Optimization

• 6.1 Monitoring KPIs: CSAT, FCR, AHT, and agent utilization

• 6.2 Using dashboards for insight visualization

• 6.3 Fine-tuning predictive routing models for performance gains

7. Security, Privacy, and Compliance

• 7.1 Data protection and anonymization practices

• 7.2 Managing consent and privacy in data usage

• 7.3 Compliance with GDPR, HIPAA, and other standards

Predictive Routing and Customer Insights in Genesys Cloud empower organizations to deliver personalized, intelligent, and efficient customer experiences. By combining data analytics and AI, participants will gain the ability to enhance operational performance and align every interaction with customer needs and business goals.