Logistics and Warehouse Management Challenges of Amazon

Abstract This study investigates the key logistics and warehouse management challenges faced by Amazon, one of the world’s leading e-commerce platforms. With rapid growth and global expansion, Amazon has developed a highly complex logistics network involving systems such as Fulfillment by Amazon (FBA), Multi-Channel Fulfillment (MCF), and Amazon Warehousing and Distribution (AWD). Despite these advancements, the company continues to face operational difficulties related to last-mile delivery, labor turnover, inventory accuracy, and scalability during seasonal peaks. The research adopted a secondary data analysis approach, using industry reports, academic literature, and real-world case studies to explore these challenges and assess Amazon’s strategic responses. Key findings highlight the company’s reliance on automation, AI, and robotics to enhance efficiency and maintain customer satisfaction. However, persistent issues like workforce management and safety under high pressure remain areas of concern. This dissertation contributes to the broader understanding of how global e-commerce giants manage complex supply chain operations. It also provides actionable insights for logistics managers, supply chain strategists, and policymakers seeking to optimize warehouse performance and customer fulfillment. The findings may serve as a foundation for further primary research or comparative studies in the evolving logistics and e-commerce landscape.