About the Supply Chain AI Lab – University of Cambridge

The Supply Chain AI Lab (SCAIL), led by Professor Alexandra Brintrup, is a leading research group at the intersection of supply chain management and artificial intelligence, based within the Department of Engineering at the University of Cambridge. SCAIL investigates the complex, adaptive nature of manufacturing and supply chain systems using cutting-edge AI, complexity science, and nature-inspired computing techniques. Recognising that supply chains are partly designed and partly emergent, the lab develops novel tools and methods to better understand and manage these dynamic systems.

SCAIL’s research focuses on discovering hidden patterns in large-scale data to provide actionable insights for forecasting deliveries, predicting disruptions, estimating risks, and optimising procurement and product quality. The lab advances autonomous supply chain operations using agent-based systems, studies the emergence of hidden dependencies, and works on large-scale real-time optimisation of supply network performance, reliability, and resilience.

Current activities also include the development of digital twins, detection of self-organisation phenomena in supply networks, and the creation of AI-driven cyber-physical systems that enable autonomous decision-making through distributed planning and collaborative analytics.

By combining theoretical innovation with practical applications, SCAIL aims to transform supply chains into more adaptive, efficient, and resilient systems that can respond effectively to uncertainty and change.

For more information and to stay updated on SCAIL's latest research outputs, please follow its LinkedIn page SCAIL, University of Cambridge (Supply Chain AI Lab).