<p>Research on the humanitarian supply chain is crucial in mitigating the pandemic’s impact on affected communities, focusing on stakeholder coordination, success factors, and implementation-specific obstacles. To address these impacts, a novel Multi-Criteria Decision based Integrated Pandemic Response and Sustainable Healthcare Ecosystem is proposed. Existing techniques lack effective strategies to manage unpredictable consumer behaviour, like panic buying, during pandemics, and the resulting supply chain challenges. Hence AI-powered Predictive Dynamic Supply Chain Inventory Optimization Platform is proposed, to improve operational efficiency and product availability during uncertain market conditions by predicting demand patterns, optimizing production, inventory, and distribution in real-time. Existing humanitarian approaches ignore overlapping of vulnerabilities that impact decision-making, complicating tailored aid plans for marginalized groups during emergencies. To enhance transparency during pandemics, a novel Blockchain-based Integrated Vulnerable Population Support Framework is introduced, to improve transparency and accountability by providing secure digital identities to vulnerable individuals, effectively allocating resources, and promoting equitable access to services and information. Existing techniques inadequately manage sudden medical waste surges in crises like COVID-19, lacking comprehensive strategies for community behaviour, stakeholder engagement, and regulatory frameworks, risking health and environmental impacts from improper disposal. Hence, a Comprehensive Decentralized Eco Med-Waste Management System is developed, to enhance coordination between health authorities and waste management for efficient medical waste handling. As a result, the proposed model outperforms existing methods, higher precision, higher waste prediction accuracy, lower MAE and higher AUC.</p>