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This paper explores the transformative impact of IoT and data analytics on supply chain operations, emphasizing their role in enhancing efficiency, reducing costs, and improving performance. It addresses key challenges such as lack of real-time visibility, inefficient inventory management, operational delays, and risk management. The integration framework involves data collection, processing, analysis, and decision-making. Emerging technologies like edge computing, blockchain, AI, 5G, and digital twins are highlighted for their potential to further revolutionize supply chains. Strategic recommendations include investing in IoT infrastructure, ensuring data security, fostering skill development, collaborating across stakeholders, and initiating pilot projects. The findings underscore the significance of IoT and data analytics in creating resilient, agile, and sustainable supply chains.
Ikevuje et al. (Fri,) studied this question.
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