Thesis Abstract

Abstract
The retail industry is undergoing a significant transformation due to the integration of artificial intelligence (AI) technologies in supply chain management processes. This thesis explores the impact of AI on supply chain management in the retail industry, focusing on how these technologies are revolutionizing operations, enhancing efficiency, and improving customer satisfaction. The study delves into the various applications of AI in supply chain management, such as demand forecasting, inventory optimization, route planning, and warehouse automation. Chapter One provides an introduction to the research topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. The chapter sets the stage for understanding the role of AI in transforming supply chain management practices in the retail sector. Chapter Two comprises a comprehensive literature review that examines existing studies, theories, and models related to AI in supply chain management and the retail industry. The review encompasses ten key areas, including the evolution of AI technologies, benefits and challenges of AI adoption in supply chains, and case studies illustrating successful implementations of AI in retail supply chains. Chapter Three outlines the research methodology employed in this study, detailing the research design, data collection methods, sample selection, data analysis techniques, and ethical considerations. The chapter presents a rigorous framework for investigating the impact of AI on supply chain management practices in the retail industry. Chapter Four presents a detailed discussion of the research findings, analyzing the implications of AI adoption on supply chain efficiency, cost reduction, inventory management, and customer service in retail operations. The chapter critically evaluates the existing literature and empirical evidence to provide insights into the transformative effects of AI technologies on retail supply chains. Chapter Five offers a conclusive summary of the thesis, highlighting the key findings, implications, and recommendations for practitioners and policymakers in the retail industry. The chapter underscores the significance of AI-driven supply chain management strategies in enhancing competitiveness, agility, and sustainability in the retail sector. 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 exploring the opportunities and challenges associated with AI adoption, this study sheds light on the transformative potential of these technologies in revolutionizing retail supply chain operations and meeting the evolving demands of the modern consumer market.

Thesis Overview