Intelligent Healthcare Supply Chain Management Using AI for Efficient Product Delivery
Abstract
Healthcare supply chains face significant challenges in ensuring timely delivery of medical products and equipment. This research explores the application of AI techniques, including demand forecasting, route optimization, and inventory management, to enhance healthcare product delivery systems. The proposed model integrates deep learning and optimization algorithms to predict demand fluctuations and optimize logistics operations. Case studies illustrate how AI reduces delivery delays, minimizes costs, and ensures availability of critical medical supplies. The paper emphasizes the importance of AI-driven supply chain resilience, especially during emergencies such as pandemics.
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