In the rapidly evolving landscape of logistics, the integration of Artificial Intelligence (AI) with advanced analytics platforms like Power BI and cloud services such as Azure has emerged as a transformative approach to enhance returns prediction processes. This presentation explores the methodologies and benefits of leveraging AI-driven predictive models within Power BI, powered by Azure's robust cloud capabilities, to optimize inventory management, reduce costs, and improve customer satisfaction. We will examine case studies demonstrating how AI algorithms analyze historical data, identify patterns, and forecast return rates, enabling logistics professionals to make informed decisions. Additionally, the session will discuss the visualization capabilities of Power BI and the scalability offered by Azure, facilitating real-time insights and actionable strategies. By merging AI's predictive power with Power BI's analytical tools and Azure's cloud infrastructure, organizations can streamline their operations and gain a competitive edge in the market. Attendees will leave with practical insights on implementing these technologies to enhance their returns management processes and drive overall operational efficiency.