Thesis Abstract

Abstract
The integration of Artificial Intelligence (AI) technologies in various industries, including the retail sector, has been transformative in optimizing operations and enhancing efficiency. This thesis investigates the impact of AI on supply chain management within the retail industry. With the rapid advancements in AI capabilities, retailers are increasingly leveraging these technologies to streamline their supply chain processes, improve decision-making, and meet the evolving demands of modern consumers. The research begins with a comprehensive review of existing literature on AI applications in supply chain management, highlighting key trends, challenges, and opportunities. Through a qualitative research approach, this study examines the specific ways in which AI is being implemented in retail supply chains, including demand forecasting, inventory management, logistics optimization, and customer service. The methodology chapter outlines the research design, data collection methods, and analysis techniques employed in this study. Primary data is gathered through interviews with supply chain professionals and retail executives, providing valuable insights into the practical implications of AI adoption in the retail sector. The findings are then analyzed to identify patterns, trends, and potential areas for further research. The discussion chapter delves into the implications of the research findings, exploring the benefits and challenges associated with AI integration in retail supply chains. The analysis reveals that AI technologies have the potential to revolutionize supply chain operations, enabling retailers to enhance efficiency, reduce costs, and deliver superior customer experiences. However, concerns related to data security, ethical implications, and workforce displacement must be carefully considered in the adoption of AI solutions. In conclusion, this thesis offers a comprehensive overview of the impact of AI on supply chain management in the retail industry, highlighting the transformative potential of these technologies. By embracing AI-driven solutions, retailers can gain a competitive edge, adapt to changing market dynamics, and drive sustainable growth in an increasingly digital environment. The study concludes with recommendations for retailers looking to capitalize on the benefits of AI while mitigating associated risks, paving the way for future research and innovation in this rapidly evolving field.

Thesis Overview