Thesis Abstract

Abstract
The evolution of technology has brought about significant changes in various industries, and the retail sector is no exception. Artificial Intelligence (AI) has emerged as a transformative tool that offers immense potential for enhancing supply chain management practices in the retail industry. This thesis aims to analyze the impact of AI on supply chain management in retail, focusing on its benefits, challenges, and implications for businesses. Chapter One provides an introduction to the research topic, outlining the background of the study, problem statement, objectives, limitations, scope, significance, and the structure of the thesis. The chapter also defines key terms relevant to the study to establish a common understanding of the concepts discussed. Chapter Two presents a detailed literature review that explores existing research on AI applications in supply chain management, specifically in the retail sector. The review covers ten key areas, including the role of AI in demand forecasting, inventory management, logistics optimization, customer behavior analysis, and supply chain visibility, among others. Chapter Three outlines the research methodology employed in this study, detailing the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter also discusses the research approach, rationale for selecting specific methods, and justifications for the chosen methodology. Chapter Four presents the findings of the research, analyzing the impact of AI on supply chain management practices in the retail industry. The chapter discusses the key findings related to the benefits and challenges of implementing AI in supply chain operations, as well as the implications for retailers in terms of cost reduction, efficiency improvement, and customer satisfaction. Chapter Five offers a comprehensive conclusion and summary of the thesis, highlighting the key findings, implications, and recommendations for future research and practice. The chapter also discusses the limitations of the study and suggests areas for further exploration to enhance our understanding of the impact of AI on supply chain management in the retail industry. In conclusion, this thesis contributes to the growing body of knowledge on the role of AI in revolutionizing supply chain management practices in the retail sector. By analyzing the implications of AI adoption, this study provides valuable insights for businesses seeking to leverage technology to drive efficiency, innovation, and competitiveness in their supply chain operations.

Thesis Overview