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AI & Digital Transformation in Logistics
Rating: 4.5 out of 5(1 rating)
1 students

AI & Digital Transformation in Logistics

Learn AI, Machine Learning, IoT, Robotics, Digital Twins and Digital Transformation Strategies for Modern Logistics
Last updated 6/2026
English

What you'll learn

  • Understand AI and Digital Transformation in Logistics.
  • Apply Machine Learning and Predictive Analytics in supply chains.
  • Explore IoT, Robotics, Digital Twins and Automation.
  • Build future-ready, technology-driven logistics operations.

Course content

1 section • 5 lectures • 36m total length
  • Introduction5:16
  • Advanced Topics and Case Studies6:18
  • Fundamental Concepts and Principles7:13
  • Review, Discussion, and Conclusion9:25
  • Core Techniques and Applications8:28

Requirements

  • No prior AI knowledge required. Basic understanding of logistics is helpful. Interest in technology and innovation. Desire to improve logistics performance through digital solutions.

Description

Artificial Intelligence is transforming the logistics and supply chain industry at an unprecedented pace. From demand forecasting and inventory optimization to warehouse automation and transportation planning, AI is helping organizations improve efficiency, reduce costs, and enhance customer satisfaction.

This course provides a practical introduction to AI and Digital Transformation in Logistics. Designed for logistics professionals, supply chain managers, business leaders, entrepreneurs, and students, the course explains how emerging technologies are reshaping logistics operations.

You will learn the fundamentals of Artificial Intelligence, Machine Learning, Generative AI, Internet of Things (IoT), Robotics, Digital Twins, Control Towers, and Predictive Analytics. The course also covers real-world applications across warehousing, transportation, inventory management, freight forwarding, and supply chain visibility.

Through practical examples and industry insights, participants will understand how organizations are using digital technologies to build smarter, faster, and more resilient supply chains.

Key learning areas include:

• AI fundamentals and business applications
• Machine Learning and Predictive Analytics
• IoT and Connected Supply Chains
• Robotics and Warehouse Automation
• Digital Twins and Control Towers
• Future Trends in Logistics and Supply Chain Management

By the end of this course, learners will have a clear understanding of how AI-driven technologies can create competitive advantage and drive digital transformation in logistics operations

Who this course is for:

  • No prior AI knowledge required. Basic understanding of logistics is helpful. Interest in technology and innovation. Desire to improve logistics performance through digital solutions.