he convergence of Internet of Things (IoT) technologies and predictive artificial intelligence (AI) has revolutionized supply chain management in the United States, creating unprecedented opportunities for operational optimization and strategic advantage. This study examines the integration of IoT analytics with predictive AI algorithms to enhance supply chain efficiency, reduce costs, and improve customer satisfaction across American enterprises. Through comprehensive analysis of implementation patterns, performance metrics, and emerging trends, this research demonstrates that organizations leveraging intelligent supply chain optimization achieve average cost reductions of 15-25% while improving delivery performance by 30-40%. The paper presents a systematic framework for IoT-AI integration in supply chain operations, supported by empirical data from leading US corporations and industry benchmarks.