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 transformed the way retailers manage their operations, inventory, and customer relationships. The study aims to provide a comprehensive analysis of how AI applications, such as machine learning, predictive analytics, and automation, influence supply chain efficiency, cost-effectiveness, and overall performance in the retail sector. The research begins with a thorough examination of the theoretical background of AI and supply chain management, highlighting key concepts and frameworks that underpin the study. A detailed review of relevant literature explores existing knowledge on the topic, identifying trends, challenges, and opportunities associated with AI adoption in retail supply chains. Methodologically, the research employs a mixed-method approach, combining qualitative and quantitative techniques to gather data from retail industry professionals, AI experts, and supply chain practitioners. Data collection methods include surveys, interviews, and case studies to capture diverse perspectives and insights on the subject matter. The findings of the study reveal significant impacts of AI on various aspects of retail supply chain management, including demand forecasting, inventory optimization, logistics planning, and customer service. AI-driven solutions have enabled retailers to streamline operations, reduce costs, enhance decision-making processes, and improve overall supply chain performance. The discussion of findings delves into the implications of AI adoption for retail supply chains, addressing both the opportunities and challenges that arise from integrating AI technologies into existing systems. Key themes explored include data security, ethical considerations, workforce reskilling, and the need for strategic alignment between AI initiatives and organizational goals. In conclusion, the study underscores the transformative potential of AI in reshaping supply chain dynamics within the retail industry. By leveraging AI technologies effectively, retailers can gain a competitive edge, drive innovation, and meet evolving consumer demands in a rapidly changing market environment. The thesis contributes valuable insights to the academic discourse on AI-enabled supply chain management and offers practical recommendations for industry practitioners seeking to navigate the complexities of AI implementation in retail supply chains.

Thesis Overview

The project titled "Analysis of the Impact of Artificial Intelligence on Supply Chain Management in Retail Industry" aims to investigate the influence of artificial intelligence (AI) on supply chain management practices within the retail sector. With the rapid advancements in technology, AI has emerged as a disruptive force that is transforming traditional business operations across various industries, including retail. This research will delve into the specific applications of AI in supply chain management processes and analyze the implications for retailers in terms of efficiency, cost-effectiveness, and competitiveness. The research overview will encompass a comprehensive analysis of the current landscape of supply chain management in the retail industry, highlighting the key challenges and opportunities faced by organizations in managing complex supply chains. By focusing on the integration of AI technologies, such as machine learning, predictive analytics, and robotic process automation, this study seeks to explore how retailers can leverage these tools to optimize their supply chain operations and enhance overall performance. Furthermore, the research will examine case studies and best practices from leading retail companies that have successfully implemented AI-driven solutions in their supply chain management processes. Through a comparative analysis of different AI applications, the study aims to identify the critical success factors and potential pitfalls associated with the adoption of AI in supply chain management. Moreover, the research overview will address the potential impact of AI on various aspects of supply chain management, including demand forecasting, inventory optimization, logistics planning, and supplier relationship management. By evaluating the benefits and challenges of AI implementation in these areas, the study aims to provide valuable insights for retail executives and supply chain professionals looking to enhance their operations through technological innovation. Overall, this research project will contribute to the existing body of knowledge on the intersection of AI and supply chain management in the retail industry, offering practical recommendations and strategic implications for businesses seeking to stay competitive in an increasingly digitalized marketplace.