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This paper explores the integration of artificial intelligence (AI) into transporter refueling systems, redefining efficiency, sustainability, and autonomy in global logistics. Dubbed the "IA-Refueling Optimization System" (IRO-System), this framework leverages AI, IoT, and predictive analytics to minimize fuel waste, reduce operational costs, and lower carbon emissions. Through case studies and simulations, we demonstrate the transformative potential of such systems in the age of Industry 4.0. transporter refueled isaidub
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