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Global supply chains are being reshaped by rapid technological change, shifting trade policies, and growing geopolitical tensions. In the battery sector 鈥� critical to the energy transition 鈥� understanding these shifts is vital for innovation, investment and resilience.

Researchers at The University of Manchester are developing AI-based methods to map how firms adapt to supply chain risks. By analysing data from international firms, including site visit transcripts, the team uses large language models to detect where and why networks are changing 鈥� from concentration around specific suppliers to diversification across regions.

This research offers a new lens on strategic management, showing how companies respond to uncertainty and external shocks. Insights from the project could inform policy and industry efforts to build more transparent, secure, and sustainable supply chains.

Linyi Guo, the PhD researcher leading this project explains: 鈥淚 believe innovation should be inclusive and driven by real-world needs, especially in supply chain transparency and corporate strategy. By combining AI with strategic analysis, we can uncover how global networks evolve 鈥� helping businesses and policymakers make better, fairer decisions in complex systems.鈥�