An analysis of the impact of artificial intelligence on supply chain management in the retail industry

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.