Analyzing 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 rapid advancement of AI technologies presents both opportunities and challenges for retailers in managing their supply chains efficiently and effectively. The study aims to analyze how AI tools and techniques are transforming traditional supply chain practices and strategies in the retail sector. The research methodology employed in this study includes a comprehensive literature review to explore the current state of AI applications in supply chain management and identify key trends and developments. Additionally, primary data collection through surveys and interviews with retail industry professionals will provide insights into the practical implications of AI adoption in supply chain operations. The findings of the study reveal that AI technologies such as machine learning, predictive analytics, and robotic process automation are increasingly being utilized by retailers to optimize inventory management, demand forecasting, logistics planning, and supplier relationship management. These AI-driven solutions have the potential to enhance operational efficiency, reduce costs, and improve customer satisfaction levels in the retail supply chain. Moreover, the study highlights the challenges and limitations associated with the implementation of AI in supply chain management, including data privacy concerns, workforce reskilling requirements, and integration complexities. The research also discusses the ethical implications of AI adoption in supply chain decision-making processes. The significance of this study lies in its contribution to the existing body of knowledge on the intersection of AI and supply chain management in the retail industry. By examining the impact of AI technologies on various aspects of the retail supply chain, this research provides valuable insights for retailers, policymakers, and academics seeking to harness the potential of AI for competitive advantage and sustainable growth. In conclusion, this thesis underscores the transformative power of AI in reshaping supply chain management practices in the retail sector. By embracing AI-driven solutions and overcoming associated challenges, retailers can position themselves for success in an increasingly digital and data-driven business environment.