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Agentic AI and Autonomous Operations in Conflict-Affected Supply Chains: Transforming Humanitarian Logistics in MENA Through Intelligent Automation
Abstract
This chapter examines how Agentic AI, autonomous systems transform SCM in conflict-affected MENA regions. Traditional models collapse under armed conflict, occupation, and institutional fragility. This research demonstrates that intelligent autonomous systems enable real-time decision-making, risk mitigation, and operational continuity in hostile environments. Case studies in Syria, Yemen, and Palestine show how Agentic AI performs critical functions demand forecasting, supplier selection, route optimization while maintaining humanitarian aid delivery despite severe constraints. The research contributes a theoretical framework integrating autonomous operations with conflict-sensitive SCM design, offering guidance for humanitarian organizations, technology providers, policymakers navigating digital transformation in crisis contexts. This framework addresses deployment challenges where infrastructure is damaged, security uncertain, and capacity limited, providing strategies for AI-driven logistics that enhance humanitarian response effectiveness and resilience.
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