AI in Marketing and Customer Relationship Management (CRM)

Learning Outcome
Understand the fundamentals of AI in the context of marketing and CRM.

1.1 What is AI (Computer Vision, and Interaction AI Focus) and how it transforms marketing and CRM?
1.2 AI tools for improving customer interactions.
1.3 Key AI technologies (NLP, Machine Learning, Predictive Analytics) and their roles in CRM.

Practical Component
SExplore various AI Algorithms across Interaction AI, and CV Equipment with compare and contrast understanding.

Learning Outcome
Learn how AI can personalize marketing efforts to increase customer engagement and conversion.

2.1 Personalization algorithms and techniques in digital marketing.
2.2 AI for segmenting customers and targeting.
2.3 Using AI to recommend products and content.

Practical Component
Create an AI-driven personalized email campaign or product recommendation engine

Learning Outcome
Gain insight into using AI to segment customers and predict future behavior.

3.1 Introduction to customer segmentation and behavior prediction.
3.2 Using machine learning to analyze customer data.
3.3 Predicting customer churn, lifetime value, and purchase behavior.

Practical Componenet
Build a predictive model to forecast customer churn or loyalty.

Learning Outcome
Understand how chatbots and virtual assistants improve customer interaction and service.

4.1 Building AI chatbots for 24/7 customer support.
4.2 Virtual assistants for CRM and sales automation.
4.3 Natural Language Processing (NLP) and sentiment analysis in customer communication.

Practical Componenet
Design a simple chatbot for customer service automation.