AI and CRM: Revolutionizing Customer Relationship Management

Introduction to AI in CRM

• Overview of AI and its role in modern business
• Key concepts of CRM and its importance for businesses
• How AI integrates with traditional CRM systems
• Benefits of AI in automating and personalizing customer interactions

AI Tools and Technologies in CRM

• Machine learning algorithms for customer insights
• Natural language processing (NLP) in chatbots and customer support
• Predictive analytics for sales forecasting and lead generation
• AI-driven marketing automation and customer segmentation

Enhancing Customer Engagement with AI

• Personalization through AI-powered recommendations
• AI-based customer service tools (chatbots, virtual assistants)
• Real-time customer support using AI
• AI in customer feedback analysis and sentiment tracking

AI-Driven CRM Case Studies and Best Practices

• Successful AI implementation in CRM systems
• Analyzing the impact of AI on customer retention and loyalty
• Challenges in adopting AI for CRM
• Future trends in AI and CRM integration

1ST BATCH: Tuesday, January 27, 2026 — Friday, January 30, 2026.

2ND BATCH: Tuesday, May 19, 2026 — Friday, May 22, 2026.

3RD BATCH: Tuesday, September 15, 2026 — Friday, September 18, 2026.

The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.