AI-Powered Smart Logistics for Last-Mile Delivery of Medical Products
Abstract
Last-mile delivery remains a critical challenge in healthcare logistics, particularly in remote and underserved regions. This paper presents an AI-powered smart logistics framework that uses real-time data, geographic information systems (GIS), and reinforcement learning to optimize last-mile delivery routes. The system dynamically adapts to traffic conditions, demand urgency, and resource availability to ensure timely delivery of essential medical products such as vaccines and medicines. Experimental results demonstrate improved delivery efficiency, reduced operational costs, and enhanced accessibility. The study contributes to building intelligent and scalable healthcare delivery networks.
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