Thesis Abstract

Abstract
This thesis investigates the implementation of Artificial Intelligence (AI) in Supply Chain Management (SCM) within the context of a retail company. The application of AI technologies in SCM has gained significant attention due to its potential to enhance operational efficiency, optimize decision-making processes, and improve overall supply chain performance. This study focuses on exploring the practical implications and challenges associated with integrating AI solutions into the supply chain operations of a retail company. The research begins with a comprehensive review of the existing literature on AI in SCM, highlighting the key concepts, technologies, and benefits of AI adoption in supply chain processes. The literature review also discusses the potential impact of AI on inventory management, demand forecasting, logistics optimization, and customer service within the retail industry. The methodology chapter outlines the research approach and data collection methods employed in this study. A qualitative case study methodology is utilized to investigate the implementation of AI in the supply chain of a retail company, allowing for an in-depth analysis of the challenges, opportunities, and outcomes associated with this technological integration. Data is collected through interviews, observations, and analysis of internal documents and reports. The findings chapter presents the results of the case study analysis, highlighting the key findings, insights, and implications of implementing AI in the supply chain operations of the retail company. The discussion covers various aspects, including the effectiveness of AI technologies in improving forecasting accuracy, optimizing inventory levels, reducing lead times, and enhancing customer satisfaction. In conclusion, this thesis provides a detailed examination of the implementation of AI in SCM through a case study of a retail company. The research findings underscore the significance of AI adoption in enhancing supply chain efficiency and competitiveness in the retail sector. The study contributes to the existing body of knowledge by offering practical insights into the challenges and opportunities associated with integrating AI technologies into supply chain management practices. Keywords Artificial Intelligence, Supply Chain Management, Retail Industry, Case Study, Technology Integration, Operational Efficiency, Logistics Optimization, Inventory Management, Decision Making.

Thesis Overview