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Nowadays, industries have to deal with an increasingly competitive environment. In this sense, the operational process optimization to increase efficiency is crucial. The industrial systems are presently leaning toward every potential means of automation for improved accuracy and superior time management. There are significant challenges in industrial logistics management: streamline operations, customer service, transportation cost, planning, and risk management. Hence in this paper, the IoT-assisted Intelligent Logistics Transportation Management Framework has been proposed in the industrial environment to design an optimized logistics plan, improve customer service, and reduce transportation cost. This paper concentrates on identifying the optimal routes for the directed autonomous vehicle, considering different vehicles’ necessities, renewable generations, logistic requests, and the essential …