Sustainable Cold Chain Management Using AI and IoT
作者
Shyam Sundar Gupta
出处
期刊:Advances in computational intelligence and robotics book series [IGI Global] 日期:2026-09-21卷期号:: 281-312
标识
DOI:10.4018/979-8-2600-0680-1.ch010
摘要
The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) is fundamentally reshaping cold chain logistics, enabling unprecedented levels of precision, transparency, and sustainability. This chapter examines how intelligent sensing, predictive analytics, blockchain-based traceability, and digital twin simulation collectively address the chronic inefficiencies of temperature-sensitive supply chains. Drawing on recent empirical and review studies, the chapter presents an integrated framework that links real-time data acquisition to AI-driven decision-making and blockchain-anchored accountability. Key themes include spoilage prevention, carbon footprint reduction, regulatory compliance, and consumer trust. The chapter concludes with a forward-looking perspective on challenges and emerging directions for scalable, equitable, and ethically grounded cold chain transformation.