Review of Application of AI in Amazon Warehouse Management

This paper outlines the research perspectives, objectives and methods to explore the ideas and applications of artificial intelligence in optimizing supply chain inbound management. By leveraging AI algorithms for demand forecasting, inventory optimization, and transportation planning, Amazon has improved efficiency, reduced costs, and increased customer satisfaction. The integration of robotic warehousing systems, automated guided vehicles, and shortest path algorithms has revolutionized warehouse operations, enabling faster order fulfillment and resource utilization. Despite challenges such as data security, technological uncertainty, and employee resistance, companies can address these issues through enhanced data protection measures, flexible technology architecture, and promoting collaboration between AI and employees. The future of AI in supply chain management will require continuous adaptation to technological advances, efficient path planning solutions for multiple robots, and cultivating harmonious relationships between AI systems and human workers. Embracing AI-driven innovation offers great potential for optimizing inventory processes, improving operational efficiency, and achieving sustainable growth in the digital age. Through a comprehensive literature review and case study analysis, it aims to provide valuable insights into the role of artificial intelligence in the transformation of supply chain operations.