Thesis Abstract

Abstract
The integration of Artificial Intelligence (AI) technologies in supply chain management has revolutionized the way businesses operate by enhancing efficiency, accuracy, and decision-making processes. This thesis explores the impact of AI on supply chain management within the retail industry, focusing on how AI technologies have transformed traditional supply chain practices. The study examines the adoption of AI tools such as predictive analytics, machine learning, and robotic process automation in retail supply chains to optimize inventory management, demand forecasting, and logistics operations. Through a comprehensive literature review, this research assesses the benefits and challenges associated with implementing AI in supply chain management. The methodology chapter outlines the research design, data collection methods, and analysis techniques employed to investigate the impact of AI on supply chain management in the retail sector. Primary data is gathered through interviews with supply chain professionals and retail managers, while secondary data is collected from academic journals, industry reports, and case studies. The findings chapter presents the results of the study, highlighting the key insights into how AI technologies have improved supply chain efficiency, reduced costs, and enhanced customer satisfaction in the retail industry. The discussion chapter critically analyzes the implications of the research findings, exploring the opportunities and challenges of integrating AI into retail supply chain operations. The study identifies potential barriers to AI adoption in supply chain management, such as data security concerns, skill gaps, and organizational resistance to change. Furthermore, the research examines the ethical considerations surrounding AI implementation in supply chains, emphasizing the importance of transparency, accountability, and responsible AI deployment. In conclusion, this thesis synthesizes the key findings and implications of the study, emphasizing the transformative impact of AI on supply chain management in the retail industry. The research contributes to the existing literature by providing insights into the opportunities and challenges of leveraging AI technologies to optimize retail supply chain operations. Recommendations are offered for retail businesses seeking to adopt AI solutions in their supply chain processes, highlighting best practices and strategies for successful implementation. Overall, this study underscores the significance of AI in shaping the future of supply chain management and its role in driving innovation and competitiveness in the retail sector.

Thesis Overview

The project titled "Analyzing the Impact of Artificial Intelligence on Supply Chain Management in the Retail Industry" aims to investigate the role of artificial intelligence (AI) in transforming supply chain management practices within the retail sector. With the rapid advancements in AI technologies, businesses are increasingly adopting AI solutions to enhance efficiency, reduce costs, and improve decision-making processes across various functions. This research seeks to explore how AI applications are reshaping supply chain operations in the retail industry and the implications of these changes. The study will begin with a comprehensive literature review to examine the current state of AI adoption in supply chain management and the specific AI technologies being utilized in the retail sector. This review will provide a foundation for understanding the potential benefits and challenges associated with integrating AI into supply chain processes. The research methodology will involve a combination of qualitative and quantitative approaches, including interviews with industry experts, surveys of retail companies using AI in their supply chains, and data analysis to assess the impact of AI on key performance indicators such as operational efficiency, cost reduction, and customer satisfaction. Through the analysis of findings, the research aims to identify the key drivers and barriers to AI implementation in supply chain management within the retail industry. It will also evaluate the effectiveness of AI solutions in addressing specific challenges faced by retailers, such as demand forecasting, inventory management, and logistics optimization. The project will conclude with a detailed discussion of the implications of the research findings and recommendations for retail companies looking to leverage AI technologies to enhance their supply chain operations. By shedding light on the transformative potential of AI in supply chain management, this study seeks to contribute to the body of knowledge on the intersection of artificial intelligence and retail supply chains.