Thesis Abstract

Abstract
This thesis explores the impact of artificial intelligence (AI) on supply chain management within the retail industry. As technology continues to advance, organizations are increasingly turning to AI solutions to enhance efficiency, accuracy, and decision-making processes in various aspects of their operations. The retail sector, with its complex supply chains and rapidly evolving market dynamics, stands to benefit significantly from the integration of AI technologies. The research begins with a thorough examination of the current landscape, providing an overview of the evolution of AI in supply chain management and its applications within the retail industry. The literature review delves into key concepts and theories related to AI, supply chain management, and retail operations, highlighting the potential advantages and challenges associated with their intersection. Methodologically, this study adopts a mixed-methods approach, combining quantitative data analysis with qualitative case studies to provide a comprehensive understanding of the impact of AI on retail supply chain management. Through surveys, interviews, and data analysis, the research aims to identify the specific AI applications that have been most effective in optimizing supply chain processes and driving business performance in retail settings. The findings of this study are expected to shed light on the various ways in which AI technologies can transform traditional supply chain management practices in the retail sector. From inventory optimization and demand forecasting to warehouse automation and customer service enhancements, AI offers a wide range of opportunities for retailers to streamline operations, minimize costs, and deliver superior customer experiences. The implications of this research extend beyond the academic realm, offering practical insights and recommendations for retail professionals, supply chain managers, and technology providers looking to harness the power of AI in driving business success. By understanding the potential benefits and challenges associated with AI adoption, organizations can make informed decisions about integrating these technologies into their supply chain strategies to gain a competitive edge in the dynamic retail landscape. In conclusion, this thesis contributes to the growing body of knowledge on the intersection of AI and supply chain management in the retail industry, offering valuable insights into the transformative potential of AI technologies. By exploring the impact of AI on key supply chain processes and performance metrics, this research paves the way for future advancements and innovations in retail supply chain management, positioning organizations to thrive in an increasingly digital and data-driven marketplace.

Thesis Overview

Research Overview: The project titled "Exploring the Impact of Artificial Intelligence on Supply Chain Management in the Retail Industry" aims to investigate the growing influence of artificial intelligence (AI) on supply chain management practices within the retail sector. With the rapid advancements in AI technology, businesses across various industries are increasingly turning to AI solutions to optimize their supply chain operations. In the retail industry, where efficiency, speed, and customer satisfaction are paramount, leveraging AI in supply chain management has the potential to revolutionize traditional practices and drive competitive advantage. This research seeks to delve into the specific ways in which AI is transforming supply chain management processes in retail, exploring the benefits, challenges, and implications for businesses operating in this sector. By examining real-world case studies and industry trends, the study aims to provide valuable insights into the adoption and integration of AI technologies in retail supply chains. Key areas of focus include the role of AI in demand forecasting, inventory management, logistics optimization, and customer engagement. By analyzing how AI-powered tools such as predictive analytics, machine learning algorithms, and robotic process automation are reshaping supply chain dynamics, this research aims to identify best practices and recommendations for retailers looking to harness the power of AI for competitive advantage. Through a combination of literature review, data analysis, and case studies, this research project seeks to contribute to the existing body of knowledge on the intersection of AI and supply chain management in the retail industry. By shedding light on the opportunities and challenges associated with AI adoption in this context, the study aims to provide actionable insights for industry practitioners, researchers, and policymakers seeking to navigate the evolving landscape of AI-driven supply chains. Overall, this research project aspires to offer a comprehensive examination of the impact of AI on supply chain management in the retail sector, highlighting the transformative potential of AI technologies in driving operational efficiency, enhancing customer experiences, and shaping the future of retail supply chains.