Artificial Intelligence-Driven Optimization of Humanitarian Supply Chains for Effective Disaster Management: A Systematic Literature Review

Humanitarian supply chain management (HSCM) has been enhanced by Artificial Intelligence (AI) to improve disaster management, disaster prediction, transportation planning, demand forecasting, inventory management and resource allocation. Earlier studies on HSCM using AI techniques, including Machine Learning, Deep Learning, Reinforcement Learning, and Natural Language Processing, are analysed in this study as part of a systematic literature review. This study shows that AI improves decision-making, reduces response time, and enhances operational efficiency in the humanitarian supply chain. It also highlights significant hitches such as limited data availability, inappropriate infrastructure, and ethics-related challenges. It also identifies future research directions, including modern technologies such as Explainable AI, blockchain incorporation, and autonomous systems to build more intelligent and resilient humanitarian logistics systems for effective management of disasters.