Enhancing Supply Chain Management Efficiency with IoT and Machine Learning Integration

In order to increase force chain operation efficacy, this exploration article looks into the synergistic integration of machine literacy algorithms with Internet of impacts (IoT) technology. This paper highlights the dynamic and more complicated character of contemporary force networks, and it suggests a novel method that uses bias and Internet of Things detectors to collect data in real time across the force chain network. In addition, machine literacy algorithms are used to analyse this data, allowing for the optimisation of colourful force chain operations, anomaly detection, and prophetic perception. Through the utilisation of advanced analytics and IoT-generated data, associations can improve their force chain's visibility, traceability, and decision-making powers. In addition to offering an abstract framework for the integration of IoT and machine literacy in force chain operations, the study offers a thorough survey of the existing literature and addresses the obstacles, opportunities, and areas for future research in this rapidly developing topic.