
Introduction to the instructor and course
A case study of using AI for Excellence in Customer Relationship Management
At the end of this lecture, you will learn the following
•How can AI help build Excellence in Customer Relationship Management
At the end of this lecture, you will learn the following
•Case Studies of AI helping build Excellence in Customer Relationship Management
At the end of this lecture, you will learn the following
•Case Studies of AI helping build Excellence in Customer Relationship Management
At the end of this lecture, you will learn the following
•Case Studies of AI helping build Excellence in Customer Relationship Management
At the end of this lecture, you will learn the following
•AI-driven segmentation
At the end of this lecture, you will learn the following
AI-driven segmentation
•How to use unsupervised learning (like K-means clustering or hierarchical clustering) to clusters customers into segments
At the end of this lecture, you will learn the following
•How AI uses predictive models to forecast
At the end of this lecture, you will learn the following
How AI Uses collaborative filtering (e.g., matrix factorization) and content-based filtering to predict What Products a Customer Is Likely to buy next
At the end of this lecture, you will learn the following
•How AI Applies sequence models (e.g., recurrent neural networks or Transformers) to analyze past purchase sequences
At the end of this lecture, you will learn the following
•How AI Uses time series forecasting and survival analysis to estimate time-to-next-purchase
At the end of this lecture, you will learn the following
How AI Uses multi-armed bandit algorithms or uplift modeling to test offers
At the end of this lecture, you will learn the following
•Recommendation engines
At the end of this lecture, you will learn the following
•How AI Adapts emails, web pages, and chat interfaces in real time
A case study of using AI (Artificial Intelligence) for Excellence in Personalized Customer Experiences
At the end of this lecture, you will learn the following
•How AI Anticipate customer needs, behavior, or potential churn
At the end of this lecture, you will learn the following
•Next-best-action suggestions
At the end of this lecture, you will learn the following
•Automated follow-ups
At the end of this lecture, you will learn the following
•Chatbots and virtual assistants: Handle common queries instantly, 24/7
At the end of this lecture, you will learn the following
•Sentiment analysis: Detect customer mood to prioritize and escalate issues
At the end of this lecture, you will learn the following
•Conversational AI: Enable more human-like and context-aware interactions
At the end of this lecture, you will learn the following
•Lead scoring: Use machine learning to identify high-potential prospects
At the end of this lecture, you will learn the following
•Campaign optimization: Analyze past performance to improve email, ad, or content marketing strategies
At the end of this lecture, you will learn the following
•Customer journey mapping: Visualize and optimize the buyer’s journey using AI-driven insights
At the end of this lecture, you will learn the following
•Data entry automation
At the end of this lecture, you will learn the following
•Workflow orchestration
At the end of this lecture, you will learn the following
Document and email analysis
At the end of this lecture, you will learn the following
•Churn prediction: Identify at-risk customers using historical patterns.
At the end of this lecture, you will learn the following
Loyalty scoring: Measure and act on loyalty indicators to design retention strategies
At the end of this lecture, you will learn the following
•Feedback analysis: Process surveys and reviews to extract actionable insights
At the end of this lecture, you will learn the following
AI copilots for CRM tools: Microsoft Copilot and Salesforce Einstein help users make better decisions by summarizing data, suggesting actions, and even composing emails or responses
At the end of this lecture, you will learn the following
•Dashboards with predictive KPIs: Provide forward-looking insights on customer satisfaction, revenue potential, and more
Summarize the course
Imagine Knowing Which Customers Will Buy, Which Will Leave and What They Need Next.
That's exactly what Artificial Intelligence is making possible.
Organizations worldwide are using AI to predict customer behaviour, personalize customer experiences, automate CRM processes and make faster, smarter decisions.
In this course, you'll learn how to apply these same techniques to increase sales, improve customer retention and transform your Customer Relationship Management into a competitive advantage.
Why AI is Transforming Customer Relationship Management
Most organizations today:
Collect massive customer data but don’t use it effectively.
Struggle to personalize customer interactions at scale.
Rely on manual CRM processes that limit growth.
The opportunity is clear.
AI can transform your CRM into a powerful engine for increasing sales, improving customer retention and delivering exceptional customer experiences.
What You'll Achieve
In this course, you will learn how to apply AI in Customer Relationship Management (CRM) to:
Deliver personalized customer experiences at scale.
Identify customers likely to churn and implement proactive retention strategies.
Enable proactive customer engagement using predictive insights.
Improve sales, marketing and customer support performance.
Automate CRM workflows for greater efficiency and scalability.
Make real-time, data-driven business decisions.
What You Will Learn
How AI is transforming CRM (Customer Relationship Management) across industries.
A structured framework to build CRM Excellence using AI.
Real-world case studies of AI-driven CRM success.
Key building blocks of AI in CRM systems and processes.
A step-by-step approach to implement AI in CRM environments.
Deliver personalized and data-driven customer experiences.
Build AI-powered customer support systems.
Use AI for sales and marketing intelligence and insights.
Automate processes with AI-driven CRM tools and workflows.
Identify customers likely to churn and implement proactive retention strategies using AI.
Improve customer retention, loyalty and customer lifetime value.
Make smarter decisions with real-time AI insights.
What Makes This Course Different
Most CRM or AI courses focus primarily on software tools or AI concepts.
This course focuses on applying AI to solve real business challenges through:
End-to-end application of AI across the CRM lifecycle.
Practical business applications including lead scoring, churn prediction, personalized customer experiences and CRM automation.
Structured business frameworks you can apply immediately.
Real-world case studies demonstrating successful AI implementation.
You will not just learn AI or CRM separately—you will learn how to combine them to improve measurable business performance.
Built on the Real Evolution of AI in CRM
This course brings together practical insights from the evolution of AI in Customer Relationship Management:
Early CRM systems focused on customer data management and workflow automation.
Machine learning introduced predictive capabilities such as lead scoring and churn prediction.
AI-powered CRM platforms enabled smarter sales, marketing and customer service.
Generative AI and conversational AI transformed customer interactions.
Today's AI-powered CRM combines personalization, automation and intelligent decision-making to improve business performance.
These insights help you understand not only what AI can do, but how to apply it effectively in real business environments.
Who This Course Is For
CRM professionals and managers looking to upgrade their AI capabilities.
Sales, marketing and customer experience professionals.
Business leaders driving customer-centric digital transformation.
Entrepreneurs building scalable, customer-focused businesses.
Professionals preparing for careers in CRM, customer analytics and AI-enabled business roles.
Learn by Applying
Understand concepts through real-world business case studies.
Learn structured frameworks you can apply immediately.
Build practical knowledge of AI-powered CRM systems and processes.
Learn with Confidence
Preview selected lectures before enrolling.
Covered by Udemy's 30-day money-back guarantee.
Take the Next Step
If you want to:
Increase sales using AI.
Improve customer retention and loyalty.
Deliver exceptional customer experiences.
Build smarter CRM systems.
Drive business growth through intelligent automation and data-driven decisions.
Then this course will give you the knowledge, practical frameworks and confidence to make it happen.
Preview the lectures today.
Enroll now and start transforming your Customer Relationship Management into a powerful AI-driven growth engine.
This Course is Part of a Structured Learning Path
Learning Path: Sales and Customer Management Path (Starter → Builder → Advanced)
This course is your ADVANCED step.
Next Recommended Courses
After completing this course, continue your growth with:
B2B Sales and Business Development (Starter)
Sales Management (Builder)
Revenue Cycle Management (Advanced)