Thesis Abstract

Abstract
The integration of Artificial Intelligence (AI) technologies in supply chain management has revolutionized the operations of businesses across various industries, including the retail sector. This thesis delves into the impact of AI on supply chain management in the retail industry, aiming to explore the benefits, challenges, and future implications of this technological advancement. The research methodology involved a comprehensive literature review, data collection from industry experts, and analysis of case studies to provide a holistic understanding of the subject matter. Chapter One provides an introduction to the research topic, highlighting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. Chapter Two presents a detailed literature review encompassing ten key areas related to AI in supply chain management and its specific applications in the retail industry. The literature review offers insights into the current trends, best practices, and potential challenges in this field. Chapter Three outlines the research methodology adopted for this study, including research design, data collection methods, sampling techniques, data analysis procedures, ethical considerations, and limitations. The chapter also discusses the theoretical framework used to guide the research process and ensures the reliability and validity of the findings. In Chapter Four, the findings of the research are presented and analyzed in-depth. The impact of AI on various aspects of supply chain management in the retail industry, such as demand forecasting, inventory management, logistics, and customer experience, are examined. The chapter also explores the challenges faced by retailers in implementing AI solutions and highlights the strategies for overcoming these obstacles. Finally, Chapter Five concludes the thesis by summarizing the key findings, discussing the implications for businesses in the retail sector, and providing recommendations for future research and practical applications. The study underscores the transformative potential of AI technologies in enhancing supply chain efficiency, reducing costs, improving customer satisfaction, and gaining a competitive edge in the retail industry. In conclusion, this thesis contributes to the growing body of knowledge on the impact of AI on supply chain management in the retail industry. By shedding light on the opportunities and challenges associated with AI adoption, this research aims to empower retailers to make informed decisions and leverage AI technologies effectively to drive innovation and success in their supply chain operations.

Thesis Overview

The research project titled "The Impact of Artificial Intelligence on Supply Chain Management in the Retail Industry" aims to investigate the influence of artificial intelligence (AI) technologies on supply chain management practices within the retail sector. With the rapid advancements in AI technologies, businesses, particularly in the retail industry, are increasingly leveraging these tools to enhance efficiency, streamline operations, and gain a competitive edge in the market. The research will delve into the various applications of AI in supply chain management within the retail industry, including but not limited to demand forecasting, inventory management, logistics optimization, and customer relationship management. By examining how AI tools and algorithms are being utilized in these key areas, the study seeks to uncover the specific impacts and benefits they bring to retail supply chain operations. Furthermore, the research will explore the challenges and limitations associated with the adoption of AI in supply chain management, such as data privacy concerns, integration complexities, and workforce implications. Understanding these obstacles is crucial for developing strategies to address them effectively and maximize the potential of AI technologies in the retail supply chain context. Through a comprehensive analysis of existing literature, case studies, and empirical research, this project aims to provide valuable insights into the transformative power of AI in reshaping supply chain management practices within the retail industry. By shedding light on the opportunities, challenges, and implications of AI adoption, the research intends to offer practical recommendations for retail businesses seeking to harness the full potential of AI technologies in optimizing their supply chain operations and driving sustainable competitive advantage.