Thesis Abstract

Abstract
This thesis explores the impact of artificial intelligence (AI) on supply chain management within the retail industry through a case study approach. The integration of AI technologies in supply chain processes has revolutionized the way businesses operate, enabling enhanced efficiency, accuracy, and decision-making capabilities. This research aims to analyze the specific implications of AI adoption in supply chain management within the retail sector, focusing on its effects on inventory management, demand forecasting, logistics optimization, and customer satisfaction. The study begins with a comprehensive review of relevant literature on AI applications in supply chain management, highlighting key concepts, theories, and empirical findings. Subsequently, a detailed examination of the research methodology employed in the case study is presented, outlining the data collection methods, sampling techniques, and analytical tools utilized to investigate the research objectives. The findings of the case study reveal significant improvements in supply chain performance metrics following the implementation of AI technologies, including reduced lead times, lower inventory carrying costs, and increased order fulfillment rates. Additionally, the study identifies challenges and limitations associated with AI adoption in the retail supply chain, such as data security concerns, integration complexities, and workforce skills development. The discussion section critically analyzes the implications of the research findings, offering insights into the strategic implications of AI integration for retail supply chain management. Key themes explored include the role of AI in fostering supply chain resilience, enhancing customer service experiences, and driving competitive advantage in the retail marketplace. In conclusion, this thesis underscores the transformative potential of AI technologies in reshaping supply chain practices within the retail industry. By leveraging AI-driven solutions, retailers can optimize their operations, streamline processes, and deliver superior value to customers. The research contributes to the existing body of knowledge on AI in supply chain management and provides practical recommendations for retail businesses seeking to harness the power of AI for sustainable growth and success.

Thesis Overview