“ Large Language Models can extend these capabilities by analysing complex datasets such as geospatial and satellite data, helping organisations model physical climate risks like flooding, heat stress or extreme weather events,” he explains.“ Over longer time horizons, these insights support infrastructure planning, energy efficiency and long-term supply chain resilience. AI significantly improves how organisations detect, understand and respond to climate-related supply chain risk. By continually analysing supplier, logistic and environmental data, AI can identify where disruption is likely to occur and trigger preventative action in near real time.
“WITH SUPPLY CHAIN SUSTAINABILITY, CIRCULARITY IS HERE TO STAY”
Sandra Leyva Martinez, Head of Sustainability( Sr. Director) – Americas, CHEP supplychaindigital. com
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