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Leeds University Advances AI for Supply Chain Risk Mapping
March 18, 2026
Dr Chee Yew Wong of Leeds University Business School presented innovative applications of artificial intelligence to map risk and sustainability in upstream multi-tier supply chains at the Sustainable Supply Chain Exhibition held at NEC Birmingham, United Kingdom. The approach leverages targeted data and explainable AI models integrated with transport and planning systems to enable better supplier risk prioritization, identification of carbon hotspots, and predictive disruption management. This development supports greener logistics decisions and risk reduction across complex supply chains, offering procurement professionals actionable insights to enhance supply chain resilience and sustainability.
- Procurement teams can leverage AI-driven tools to identify and prioritize supplier risks more effectively, improving supply chain continuity.
- The integration of explainable AI models facilitates transparency and trust in risk assessments, aiding compliance and decision-making.
- Organizations focused on sustainability can use these AI capabilities to pinpoint carbon hotspots and support decarbonization initiatives within their supply chains.
- Vendors and contractors providing AI, transport, and planning system solutions may find emerging opportunities to support government and healthcare supply chains, such as NHS Supply Chain, in adopting these technologies.
AI enables targeted decarbonisation, better supplier risk prioritisation, and predictive disruption management across upstream tiers.
— Dr Chee Yew Wong
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NHS Supply Chain
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GetTransport.com
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- AI for Mapping Risk in Upstream MultiโTier Supply Chains · GetTransport.com · Mar 18