Thesis Abstract

Abstract
The integration of artificial intelligence (AI) technologies into various sectors has revolutionized traditional business operations, and the supply chain management (SCM) in the retail industry is no exception. This research aims to investigate the impact of AI on SCM within the retail sector, focusing on how AI technologies have transformed key processes and decision-making in the supply chain. The study explores the opportunities and challenges posed by AI adoption in retail SCM, aiming to provide valuable insights for industry practitioners, policymakers, and researchers. Chapter 1 introduces the research by outlining the background of the study, defining the problem statement, objectives, limitations, scope, significance, and structure of the thesis. The study emphasizes the importance of understanding how AI is reshaping SCM practices in the retail industry to enhance efficiency, reduce costs, and improve customer satisfaction. Chapter 2 presents a comprehensive literature review that examines existing studies on AI applications in SCM and the retail sector. The review covers ten key areas, including AI technologies in SCM, supply chain optimization, inventory management, demand forecasting, logistics, customer relationship management, data analytics, decision-making, and competitive advantage in retail. Chapter 3 details the research methodology, including research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter outlines the steps taken to conduct a thorough investigation into the impact of AI on retail SCM, ensuring the validity and reliability of the study findings. Chapter 4 delves into the discussion of findings, presenting the results of the research analysis on the impact of AI on various aspects of SCM in the retail industry. The chapter explores the benefits and challenges associated with AI adoption, highlighting the implications for retailers and supply chain stakeholders. Chapter 5 concludes the thesis by summarizing the key findings, discussing the implications for practice and future research directions. The study underscores the transformative potential of AI technologies in revolutionizing SCM practices in the retail sector, highlighting the need for continuous innovation and adaptation to thrive in an increasingly competitive marketplace. Overall, this research contributes to the growing body of knowledge on the intersection of AI and SCM in the retail industry, shedding light on the opportunities and challenges presented by AI adoption. By understanding the impact of AI on retail SCM, organizations can leverage these technologies to optimize their supply chain processes, enhance operational efficiency, and drive sustainable growth in the dynamic retail landscape.

Thesis Overview