Thesis Abstract

Abstract
This thesis investigates the impact of Artificial Intelligence (AI) on Supply Chain Management (SCM) within the Retail Industry. The fast-paced evolution of technology has led to the integration of AI solutions in various business functions, including SCM, to enhance efficiency, accuracy, and decision-making processes. In this study, a comprehensive analysis is conducted to explore how AI applications such as machine learning, predictive analytics, and automation are transforming traditional SCM practices in the retail sector. The research encompasses a thorough review of relevant literature, an examination of current trends and challenges, as well as the development and implementation of a research methodology to gather primary data from industry experts and stakeholders. The findings from this study shed light on the benefits, limitations, and implications of AI adoption in SCM for retail organizations. Through a detailed discussion of the results, this thesis provides valuable insights into the opportunities and risks associated with leveraging AI technologies in SCM operations. The conclusions drawn from this research contribute to the existing body of knowledge on the subject, offering recommendations for retailers looking to optimize their supply chain processes through AI integration. Overall, this study underscores the transformative potential of AI in reshaping supply chain dynamics and driving competitive advantage in the retail industry.

Thesis Overview

The research project titled "Analysis of the Impact of Artificial Intelligence on Supply Chain Management in the Retail Industry" aims to investigate the influence of artificial intelligence (AI) on supply chain management practices within the retail sector. This comprehensive study will explore how the integration of AI technologies is transforming traditional supply chain operations and shaping the competitive landscape of the retail industry. The project will begin by providing an introduction to the significance of AI in supply chain management, emphasizing its potential to enhance efficiency, accuracy, and decision-making processes. By delving into the background of the study, the research will highlight the evolution of AI technologies in the retail sector and their increasing adoption by industry players. A critical aspect of this research will involve identifying and analyzing the key challenges and opportunities that arise from incorporating AI into supply chain management practices in the retail industry. By addressing the problem statement, the study aims to shed light on the specific areas where AI can drive improvements and potential obstacles that organizations may encounter during implementation. Furthermore, the research objectives will outline the specific goals of the study, which include assessing the impact of AI on inventory management, demand forecasting, logistics optimization, and customer experience within retail supply chains. The limitations of the study will also be acknowledged to provide a realistic perspective on the scope and boundaries of the research. The scope of the study will encompass various aspects of AI application in supply chain management, such as machine learning algorithms, predictive analytics, automated systems, and robotics. By examining the significance of AI in enhancing supply chain processes, the research will highlight the potential benefits for retail businesses in terms of cost savings, operational efficiency, and competitive advantage. Moreover, the structure of the thesis will be outlined to guide the reader through the research framework, methodology, data analysis, findings, and conclusions. Definitions of key terms related to AI, supply chain management, and the retail industry will be provided to ensure clarity and understanding of the research context. Overall, this research overview sets the stage for an in-depth exploration of how artificial intelligence is reshaping supply chain management practices in the retail industry. By examining the impact of AI technologies on various aspects of the supply chain, this study aims to provide valuable insights for industry practitioners, policymakers, and researchers seeking to leverage AI for competitive advantage and operational excellence in the retail sector.