In this course, you’ll explore how Generative AI is reshaping supply chain management, from optimizing inventory and forecasting demand to enhancing logistics. With practical insights and real-world case studies, this course provides a comprehensive overview of AI applications in the supply chain, helping you stay ahead in an industry rapidly adopting advanced technologies. By the end, you’ll understand how Generative AI can solve key supply chain challenges, preparing you to apply these innovations in your own work.
GenAI for Supply Chain Optimization
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Identify Generative AI and its key applications within supply chain management, its impact on operational efficiency and decision-making processes.
Evaluate common Generative AI techniques and methodologies used in supply chain optimization.
Describe how Generative AI integrates with existing supply chain technologies.
Assess current advancements and innovations in Generative AI technology and their implications for the future of supply chain management.
Details to know
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Recently updated!
March 2025
Assessments
1 assignment
Taught in English
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There is 1 module in this course
This course provides a beginner-friendly exploration of how Generative AI is transforming supply chain management. Led by Mustafa Bayülgen, it covers essential AI concepts, real-world applications in demand forecasting, inventory optimization, and logistics, as well as emerging trends and ethical considerations. Designed for supply chain professionals, this course delivers practical insights through case studies and interactive content, equipping learners with the knowledge to apply AI-driven techniques in optimizing supply chain operations and enhancing decision-making.
What's included
14 videos5 readings1 assignment1 peer review
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