close
Co-funded by the European Union. Views and opinions expressed are however those of the author or authors only and do not necessarily reflect those of the European Union or the Foundation for the Development of the Education System. Neither the European Union nor the entity providing the grant can be held responsible for them.

AI is helping businesses predict demand, manage stock, and reduce waste across global supply chains. These tools make operations more efficient, but they also introduce complex questions about fairness, sustainability, and data ethics. When algorithms optimise inventory or purchasing, whose needs are prioritised? And at what environmental cost?

In this section, learners investigate the practical use of AI in supply chain management, alongside its wider social and environmental implications. From demand forecasting to ethical sourcing, these resources show how AI can support smarter decisions—if it’s applied with care.

You'll find:

Case studies

on AI’s use in demand forecasting and inventory control

Exercises

on designing supply strategies that consider environmental and social impacts

Activities

that challenge learners to reflect on fairness and accountability in operational decisions

Perfect for business and logistics courses, this section encourages students to think beyond efficiency and consider what a responsible, sustainable AI-enabled supply chain looks like.

OER Content

menuchevron-down