AI-Based Cold Chain Monitoring and Optimization for Healthcare Product Delivery
Abstract
Maintaining the integrity of temperature-sensitive medical products such as vaccines and biologics is critical in healthcare delivery. This paper introduces an AI-based cold chain monitoring system that uses IoT sensors and machine learning algorithms to track and predict temperature variations during transportation. The system provides real-time alerts and predictive insights to prevent spoilage and ensure compliance with regulatory standards. The proposed solution enhances reliability and transparency in healthcare product delivery. Experimental validation shows significant reduction in product loss and improved supply chain efficiency.
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