Thesis Abstract

Abstract
Artificial Intelligence (AI) technology has revolutionized various industries, and the retail sector is no exception. This thesis aims to analyze the impact of AI on supply chain management within the retail industry. The study explores how AI technologies such as machine learning, predictive analytics, and robotics have transformed traditional supply chain practices and enhanced operational efficiency in retail businesses. The research investigates the benefits, challenges, and implications of integrating AI into supply chain management processes and highlights the key factors that influence successful AI adoption in retail supply chains. The research methodology involves a comprehensive literature review to examine existing studies, theories, and frameworks related to AI in supply chain management and retail operations. The study also includes empirical research, incorporating surveys and interviews with industry experts, supply chain managers, and AI technology providers to gather insights and opinions on the subject matter. Findings from the research reveal that AI technologies have significantly improved supply chain performance in the retail industry by enabling real-time data analysis, demand forecasting, inventory optimization, and logistics automation. However, challenges such as data security, integration complexities, and workforce upskilling pose barriers to widespread AI adoption in supply chain management. The study emphasizes the importance of strategic planning, organizational readiness, and continuous innovation to harness the full potential of AI in retail supply chains. In conclusion, this thesis contributes to the growing body of knowledge on the role of AI in transforming supply chain management practices in the retail sector. The findings provide valuable insights for retail businesses, policymakers, and researchers seeking to leverage AI technologies for competitive advantage and operational excellence in supply chain operations. By understanding the impact of AI on supply chain management, retail companies can adapt to the evolving technological landscape and drive sustainable growth in a rapidly changing business environment.

Thesis Overview

The research project titled "Analyzing the Impact of Artificial Intelligence on Supply Chain Management in the Retail Industry" aims to investigate how the integration of artificial intelligence (AI) technologies impacts supply chain management practices within the retail sector. Supply chain management is a critical component of the retail industry, involving the coordination of activities such as sourcing, production, inventory management, logistics, and distribution to ensure the efficient flow of goods from suppliers to customers. In recent years, the rapid advancements in AI technologies have presented new opportunities and challenges for retail supply chain management. This study will delve into the current landscape of AI applications in supply chain management within the retail industry, exploring the various AI tools and techniques that are being utilized to optimize and streamline supply chain processes. The research will analyze how AI is being used to enhance demand forecasting, inventory management, warehouse operations, transportation logistics, and customer service in retail supply chains. By examining real-world case studies and industry best practices, the project aims to provide insights into the benefits and limitations of AI adoption in retail supply chain management. Moreover, the research will assess the impact of AI on key performance indicators (KPIs) such as cost reduction, inventory turnover, order fulfillment accuracy, lead times, and customer satisfaction in retail supply chains. By conducting interviews with industry experts, surveys with retail supply chain professionals, and data analysis of AI implementation outcomes, the study seeks to identify the critical success factors and challenges associated with integrating AI technologies into retail supply chain operations. Furthermore, the research will explore the implications of AI adoption on the workforce in retail supply chain management, considering the potential changes in job roles, skills requirements, and organizational structures brought about by AI technology. The project will also address ethical considerations related to AI implementation, including data privacy, security, bias, and transparency in decision-making processes within retail supply chains. Overall, this research overview highlights the importance of understanding the impact of AI on supply chain management in the retail industry and underscores the need for strategic planning, organizational readiness, and continuous innovation to harness the full potential of AI technologies for enhancing operational efficiency, agility, and competitiveness in retail supply chains.