Thesis Abstract

Abstract
This thesis investigates the impact of artificial intelligence (AI) on supply chain management within the retail industry. The integration of AI technologies in supply chain processes has revolutionized the way businesses operate, presenting both opportunities and challenges for retailers. The primary objective of this study is to explore how AI applications such as machine learning, predictive analytics, and robotic process automation are transforming traditional supply chain practices in the retail sector. Through a comprehensive literature review, an in-depth analysis is conducted to examine the current state of AI adoption in supply chain management and its implications for retail businesses. The research methodology employed in this study encompasses both qualitative and quantitative approaches, including case studies, surveys, and interviews with industry experts. By identifying key trends and best practices in AI implementation within supply chains, this research aims to provide valuable insights for retailers seeking to leverage AI technologies to optimize their operations, enhance efficiency, and meet evolving consumer demands. Furthermore, the study investigates the challenges and limitations associated with AI integration in supply chains, such as data security, workforce reskilling, and ethical considerations. The findings of this research highlight the significant benefits of AI in improving supply chain visibility, demand forecasting accuracy, inventory management, and customer service in the retail industry. Moreover, the study underscores the importance of strategic planning and investment in AI capabilities to stay competitive in a rapidly evolving market landscape. The implications of AI on supply chain sustainability, cost reduction, and customer satisfaction are also discussed in detail. In conclusion, this thesis contributes to the existing body of knowledge by offering a comprehensive analysis of the impact of AI on supply chain management in the retail sector. By synthesizing theoretical insights with practical examples and real-world case studies, this research provides a roadmap for retailers to navigate the complexities of AI adoption and maximize the benefits of intelligent supply chain solutions. The study concludes with recommendations for future research directions and practical implications for industry stakeholders looking to harness the full potential of AI-driven supply chain innovations.

Thesis Overview