This module focuses on leveraging AI tools to enhance CRM systems, enabling enriched customer relationship management and data-driven sales decisions. Learners will explore how to integrate generative AI with CRM platforms to personalize customer experiences and improve relationship management. It will also include multi-stage CRM workflow construction, Copilot-powered reporting, and hands-on troubleshooting labs. Privacy, compliance, and data-quality checks are foregrounded.

This module focuses on using AI technologies to create personalized customer experiences and improve retention. Learners will explore how to enhance customer segmentation and targeting with AI-driven insights, while tailoring communications and engagement strategies using AI data. The module includes iterative CRM-linked Copilot features to create comprehensive prompt libraries and systematic customer nurturing approaches.

This module focuses on analyzing CRM data with AI tools for actionable sales insights, identifying trends and patterns through AI-enhanced data analysis, and leveraging CRM insights to refine sales strategies and improve outcomes. Emphasis is placed on running scenarios where Copilot analytics may misclassify trends, requiring systematic error detection, documentation, and correction protocols.

This module focuses on leveraging AI analytics to monitor and optimize customer engagement through comprehensive CRM metrics analysis. Students will master systematic approaches to measuring engagement effectiveness, identifying improvement opportunities, and implementing data-driven strategies that enhance customer relationships and retention. The module emphasizes developing critical evaluation skills for AI-generated insights while building expertise in translating engagement data into strategic actions that drive business results.