Revolutionizing cold chain logistics: Leveraging IoT and AI for enhanced food safety and waste reduction

Pindi, Munikumar (2025) Revolutionizing cold chain logistics: Leveraging IoT and AI for enhanced food safety and waste reduction. World Journal of Advanced Research and Reviews, 26 (2). pp. 1412-1424. ISSN 2581-9615

The integration of the Internet of Things (IoT) and Artificial Intelligence (AI) technologies is fundamentally transforming cold chain logistics for perishable goods management, addressing critical challenges that have long plagued temperature-sensitive supply chains. This comprehensive technical article examines how these advanced technologies create unprecedented capabilities for real-time monitoring, predictive analytics, and automated decision-making throughout the cold chain. Beginning with an analysis of persistent challenges, including temperature excursions, limited visibility, and documentation gaps, the article explores how IoT sensors provide the foundational infrastructure for continuous environmental monitoring beyond basic temperature tracking. It then examines how AI analytics transforms collected data into actionable intelligence through predictive quality management, anomaly detection, and route optimization. The integration of blockchain technology further enhances transparency and traceability, creating immutable records of handling conditions. The article also addresses implementation considerations, return on investment analysis, and emerging technologies that promise to further revolutionize cold chain management, ultimately demonstrating how these integrated solutions are shifting the industry from reactive to proactive approaches while improving food safety, regulatory compliance, and sustainability.