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AI enhancing efficiency and preparedness in disaster supply chains worldwide

· Source: devdiscourse.com

In short

A new bibliometric study published in the Journal of Risk and Financial Management examines 288 academic publications on AI in disaster supply chains, revealing a sharp rise in research since 2020. While AI tools such as machine learning, predictive analytics, and deep learning are increasingly used for demand forecasting, routing optimization, and resilience modeling, the study identifies a critical gap in integrating financial risk considerations. The research calls for interdisciplinary collaboration and real-world validation to fully unlock AI's potential in disaster management.

Read Original Article — Read the full article on the publisher’s site.

In the issue of week 18, 2026: Agentic AI and Physical Automation Drive Supply Chain Breakthroughs

Tags: disaster, supply chain, resilience, predictive analytics, risk management, humanitarian logistics

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