Implementation of Artificial Intelligence in Supply Chain Management: A Case Study in the Retail Industry

Thesis Abstract

Abstract
This thesis investigates the implementation of Artificial Intelligence (AI) in supply chain management within the context of the retail industry. The research aims to explore how AI technologies can enhance supply chain efficiency, accuracy, and decision-making processes in retail operations. The study focuses on a case study approach to analyze the application of AI in a real-world retail setting, providing insights into the challenges, benefits, and implications of AI adoption in supply chain management. The introductory chapter sets the foundation for the research by presenting the background, problem statement, objectives, limitations, scope, significance of the study, and defining key terms related to AI and supply chain management. The subsequent literature review chapter critically evaluates existing studies and theories on AI in supply chain management, highlighting key themes such as AI technologies, supply chain optimization, predictive analytics, and automation. The research methodology chapter outlines the approach taken to investigate the implementation of AI in supply chain management in the retail industry. The methodology includes research design, data collection methods, sample selection, data analysis techniques, and ethical considerations. Through interviews, surveys, and data analysis, the study gathers empirical evidence to support the findings and discussions presented in the subsequent chapters. The findings chapter presents the results of the case study analysis, discussing the practical applications of AI technologies in improving supply chain processes, inventory management, demand forecasting, and customer service in a retail environment. The chapter also addresses the challenges faced during the implementation of AI, such as data quality issues, integration complexities, and organizational resistance to change. The discussion chapter critically examines the implications of the findings, offering insights into the potential benefits of AI adoption in supply chain management and the strategies for overcoming implementation barriers. The chapter also reflects on the theoretical and practical contributions of the research, identifying areas for further study and development in the field of AI-enabled supply chain management. In conclusion, this thesis summarizes the key findings, implications, and recommendations derived from the study on the implementation of AI in supply chain management in the retail industry. The research contributes to the growing body of knowledge on AI technologies in supply chain operations, offering practical insights for retailers and supply chain professionals seeking to leverage AI for competitive advantage and operational excellence.