From Information to Intelligence: LLMs and Agentic AI in Supply Chain Management 🤖📦
Part of the Complexity Economics Seminar Series, this talk is delivered by Sara AlMahri (University of Cambridge). The session examines how modern supply chains generate vast amounts of fragmented, siloed information — and how Large Language Models and agentic AI systems can convert this unstructured data into structured network knowledge.
The lecture explores how these AI systems can detect disruptions, analyse propagation across multi‑tier networks, and autonomously support more resilient and sustainable decision‑making.
What to expect:
- 🧠 Insights into how LLMs and agentic AI can transform unstructured supply‑chain data into usable network intelligence
- 🔍 Discussion of disruption detection, propagation analysis, and autonomous decision‑support
- 🌐 A look at real research applications from the Supply Chain AI Lab at Cambridge