<p>The Internet of Things (IoT) and Artificial Intelligence (AI) have driven a paradigm shift in fleet management providing organizations to monitor, manage and even optimize their vehicle operations. This article presents an IoT and AI enabled framework for Smart Fleet Management, wherein real-time data, predictive analytics and automation are used for efficient, safe and green fleets. The IoT devices based in automobiles sense and collect data on the consumption of (fuel), engine diagnostics, the environmental conditions at which the automobile is being driven, senvironmental conditions of the automobile driving behavior, and send this to a central virtual platform for analysis. Such AI systems analyze data and pick up the pattern which helps for predictive maintenance, which is a core part of this architecture that helps minimize vehicle downtime and reduces maintenance costs by doing proper identification of potential faults at the right time. The AI also routes better, ensuring vehicles travel down the most efficient roads, have lower emissions and use less fuel, while still ensuring timely deliveries. The proposed architecture also gives the safety of its Advanced Driver Assistance Systems (ADAS) by detecting dangerous driving actions and reactions. Additionally, AI can also be used to fund sustainability programs by forecasting fuel consumption, emission, and fleet corrosion to cut down the carbon footprint of the fleet’s activity. This holistic approach through the synergy of IoT’s data collection capabilities and AI’s intelligent decision-making processes can turn traditional fleet management into a more proactive data-driven and sustainable business.</p>