| dc.description.abstract | This thesis examines the supply chain management practices within the IT sector, with a focused
case study on Amazon-one of the world’s leading technology-driven organizations. The study
explores how Amazon integrates advanced technologies, data analytics, logistics innovations, and
customer-centric strategies to build one of the most efficient and resilient supply chain systems
globally.
The research identifies key components of Amazon’s supply chain, including procurement,
inventory management, warehouse automation, last-mile delivery, and the use of artificial
intelligence and machine learning for demand forecasting. It highlights how Amazon leverages
digital infrastructure such as Amazon Web Services (AWS), robotics, and real-time tracking tools
to streamline operations and maintain competitive advantage.
A quantitative was used to gather data, incorporating secondary research from credible sources
and primary insights where applicable. The analysis demonstrates that Amazon’s technology
enabled supply chain ensures speed, accuracy, and cost-effectiveness while maintaining high
customer satisfaction. The company’s strategic investments in automation, global distribution
networks, and sustainable logistics practices have strengthened its operational excellence.
The findings reveal that Amazon’s supply chain efficiency is driven by continuous innovation,
integration of advanced IT systems, and data-driven decision-making. Challenges such as rising
operational costs, environmental concerns, and complex global logistics were also identified, along
with potential opportunities for improvement. | en_US |
