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 traditional practices, offering new opportunities for efficiency, cost reduction, and enhanced decision-making. This study aims to explore the effects of AI adoption on supply chain operations and performance in retail settings. The research methodology employed a mixed-methods approach, combining qualitative interviews with industry experts and quantitative data analysis from retail companies utilizing AI in their supply chains. The literature review synthesized existing knowledge on AI applications in supply chain management and highlighted key trends, challenges, and benefits associated with AI implementation in the retail sector. Findings from the study reveal that AI technologies such as machine learning, predictive analytics, and robotic process automation have significantly transformed supply chain processes in retail, leading to improved forecasting accuracy, inventory management, and customer satisfaction. However, challenges related to data security, integration complexity, and workforce reskilling were identified as barriers to successful AI adoption in supply chains. The discussion of findings delves into the implications of AI integration for supply chain stakeholders, including retailers, suppliers, and logistics providers. Strategies for overcoming AI implementation challenges and maximizing the benefits of AI in supply chain management are presented, emphasizing the importance of organizational readiness, strategic alignment, and continuous innovation. In conclusion, this thesis contributes to the growing body of knowledge on AI-enabled supply chain management in the retail industry, providing insights for practitioners, researchers, and policymakers. The findings underscore the transformative potential of AI technologies in optimizing retail supply chains and driving competitive advantage in an increasingly digital marketplace. Recommendations for future research include exploring the long-term impacts of AI on supply chain sustainability, ethical considerations, and industry-wide collaboration to leverage AI capabilities effectively. Keywords Artificial intelligence, Supply chain management, Retail industry, Technology adoption, Digital transformation, Machine learning, Predictive analytics, Robotic process automation.

Thesis Overview

The research project titled "An analysis of the impact of artificial intelligence on supply chain management in the retail industry" aims to investigate the increasing influence of artificial intelligence (AI) on supply chain management within the retail sector. This study will delve into the profound implications of AI technologies on various aspects of supply chain operations, including inventory management, demand forecasting, logistics optimization, and customer service. The advent of AI has revolutionized traditional supply chain practices by offering advanced data analytics, predictive modeling, and automation capabilities. Retail businesses are increasingly adopting AI tools and systems to enhance efficiency, reduce costs, and improve overall performance in their supply chain operations. However, there is a need to comprehensively analyze the specific impacts of AI on supply chain management within the retail industry to provide valuable insights for practitioners and researchers. This research overview will explore how AI technologies are reshaping supply chain processes in retail, leading to enhanced decision-making, improved visibility, and increased responsiveness to market dynamics. By examining case studies, industry trends, and expert opinions, this study aims to identify the key challenges, opportunities, and best practices associated with integrating AI into supply chain management practices in the retail sector. Furthermore, this research will investigate the potential risks and limitations of AI adoption in supply chain operations, such as data security concerns, algorithm biases, and workforce displacement. By critically evaluating these issues, the study seeks to propose strategies and recommendations for retail organizations to effectively leverage AI technologies while mitigating associated risks. Through a comprehensive analysis of existing literature, empirical research, and real-world examples, this project aims to contribute to the growing body of knowledge on the intersection of artificial intelligence and supply chain management in the retail industry. By understanding the transformative impact of AI on supply chains, this study will provide valuable insights for industry practitioners, policymakers, and academics seeking to navigate the evolving landscape of technology-driven supply chain management in the retail sector.