Data Driven Techniques for Supply Chain Management (Pilot)

SUMMARY

How do you know which data-driven method is right for solving your supply chain challenges? This course is all about helping you answer that question. We’ll focus on mapping specific supply chain needs—such as forecasting demand, optimizing inventory, or mitigating supplier risks—to the most suitable data-driven techniques.

With a clear framework as your guide, you’ll learn when to use each method and explore practical examples that demonstrate how these techniques are applied in real-world scenarios. Whether your organization faces challenges in managing variability, improving visibility, or ensuring efficiency, this course equips you with the tools to align your data strategy with your unique supply chain requirements.

About The Author

Dilek Dustegor is a Professor of Computing Science at the University of Groningen in the Netherlands. She is interested in bridging the gaps between research, development and implementation using AI and automation. She is pursuing research about modeling, design and analysis of large scale / networked systems using IoT and ML techniques, with a special interest in smart city applications. She is a seasoned educator, and loves using the newest educational technologies for an enhanced learning experience.