Thesis Abstract

Abstract
This thesis aims to investigate the impact of Artificial Intelligence (AI) on supply chain management efficiency in the retail industry. The integration of AI technologies in supply chain operations has become increasingly prevalent, offering opportunities for improved decision-making, enhanced operational efficiency, and cost savings. The study will delve into the various applications of AI in supply chain management within the retail sector, analyzing how these technologies are transforming traditional practices and reshaping the industry landscape. The research will commence with a comprehensive review of the existing literature on AI in supply chain management, highlighting key concepts, trends, and challenges. Subsequently, a detailed examination of the methodology employed in this study will be presented, outlining the research design, data collection methods, and analysis techniques utilized to investigate the research objectives. The empirical findings of this study will be discussed in depth, focusing on the implications of AI adoption for supply chain efficiency in retail settings. Through the analysis of real-world case studies and empirical data, the research will provide valuable insights into the benefits and challenges associated with AI implementation in supply chain management within the retail industry. Furthermore, the study will offer recommendations for retail organizations seeking to leverage AI technologies to enhance their supply chain operations. These recommendations will be based on the research findings and will address key areas such as technology integration, organizational readiness, and strategic planning. In conclusion, this thesis will contribute to the existing body of knowledge on AI in supply chain management, shedding light on the transformative potential of these technologies for the retail industry. By examining the impact of AI on supply chain efficiency, this research aims to provide valuable insights that can guide retail organizations in optimizing their operations and gaining a competitive edge in the dynamic marketplace.

Thesis Overview

The project titled "Analyzing the Impact of Artificial Intelligence on Supply Chain Management Efficiency in the Retail Industry" aims to investigate how the integration of artificial intelligence (AI) technologies can enhance supply chain management practices within the retail sector. This research seeks to explore the potential benefits and challenges associated with leveraging AI tools and solutions in optimizing supply chain operations, with a specific focus on improving efficiency and overall performance in retail businesses. The use of AI in supply chain management has gained increasing attention in recent years due to its potential to revolutionize traditional processes and drive significant improvements in operational effectiveness. By employing advanced AI algorithms, machine learning techniques, and data analytics, retailers can enhance forecasting accuracy, streamline inventory management, optimize logistics and transportation, and ultimately deliver better customer service. This study will begin with an in-depth literature review to examine existing research and theories on the application of AI in supply chain management, highlighting key concepts, trends, and best practices in the field. The research methodology will involve a combination of quantitative and qualitative approaches, including data collection through surveys, interviews, and case studies to gather insights from industry experts, retail practitioners, and AI technology providers. Through the analysis of empirical data and findings, this research aims to identify the specific ways in which AI can impact supply chain management efficiency in the retail industry. By evaluating the implications of AI adoption on key performance metrics such as cost reduction, lead time optimization, inventory turnover, and customer satisfaction, this study seeks to provide valuable insights for retail managers, decision-makers, and policymakers. The discussion of findings will present a detailed analysis of the research results, discussing the implications, limitations, and practical implications of the study. By critically evaluating the benefits and challenges of implementing AI technologies in supply chain management, this research aims to offer recommendations for retailers looking to harness the power of AI to enhance their competitive advantage and drive sustainable growth in the dynamic retail landscape. In conclusion, this research will contribute to the existing body of knowledge on the impact of AI on supply chain management in the retail industry, shedding light on the transformative potential of AI technologies in optimizing operational efficiency, enhancing decision-making processes, and creating value for retail businesses. By addressing the research objectives and exploring the significance of AI integration in supply chain management, this study aims to provide valuable insights and practical recommendations for retailers seeking to leverage AI tools for sustainable business success.