Thesis Abstract

Abstract
The retail industry is undergoing a significant transformation with the advent of Artificial Intelligence (AI) technologies. This thesis aims to analyze the impact of AI on supply chain management within the retail sector. The study delves into the various ways in which AI is revolutionizing traditional supply chain processes and enhancing operational efficiencies. Through an extensive literature review, this research explores the current state of AI adoption in supply chain management and identifies key trends and challenges faced by retail organizations. The methodology chapter outlines the research design, data collection methods, and analysis techniques employed in this study. Data was collected through interviews with industry experts, surveys of retail professionals, and analysis of case studies from leading retail companies. The findings chapter presents a detailed discussion of the results, including the benefits and drawbacks of AI implementation in supply chain management, the key success factors, and the implications for retail businesses. The conclusion chapter synthesizes the key findings and highlights the significance of AI technologies for enhancing supply chain management practices in the retail industry. The study underscores the importance of integrating AI solutions strategically to optimize inventory management, demand forecasting, logistics, and customer service. Overall, this research contributes to the growing body of knowledge on the transformative impact of AI on supply chain operations in retail, providing valuable insights for both practitioners and researchers in the field. Keywords Artificial Intelligence, Supply Chain Management, Retail Industry, Technology Adoption, Operational Efficiency.

Thesis Overview