Design and Implementation of an efficient IoT based approach to Supply Chain Management

This study presents a cutting-edge IoT-driven supply chain management (SCM) framework that integrates AI and blockchain to enhance efficiency, security, and decision-making. By validating the model through multiple industry datasets and benchmarking against established SCM solutions such as SAP, Oracle, and IBM Watson, this research highlights significant improvements. Key findings include a 29% increase in predictive analytics accuracy, a 64% boost in decision execution speed, and a 65% reduction in security vulnerabilities. Additionally, scalability challenges and real-world deployment considerations are discussed, positioning this framework as a viable solution for next-generation SCM applications.