Thesis Abstract

Abstract
This thesis investigates the impact of Artificial Intelligence (AI) on supply chain management within the retail industry. The integration of AI technologies in supply chain processes has revolutionized the way businesses operate, enhancing efficiency, accuracy, and overall performance. The study aims to analyze how AI tools and techniques are transforming traditional supply chain practices in the retail sector and evaluate the implications of these advancements. The research methodology employed a mixed-method approach, combining quantitative data analysis and qualitative case studies to provide a comprehensive understanding of the subject matter. A thorough literature review was conducted to explore existing research, theories, and practical applications of AI in supply chain management and its specific relevance to the retail industry. Chapter One provides an introduction to the research topic, delving into the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of terms related to AI and supply chain management. Chapter Two presents a detailed literature review, focusing on ten key areas such as AI technologies in supply chain management, benefits and challenges of AI adoption in retail, impact on inventory management, demand forecasting, logistics optimization, and customer experience enhancement. Chapter Three outlines the research methodology utilized, including data collection methods, sampling techniques, data analysis approaches, and ethical considerations. It explores how the research was conducted to ensure reliability and validity of the findings. Chapter Four analyzes the research findings, discussing the observed impact of AI on supply chain management in retail. It examines case studies and empirical data to identify trends, challenges, and opportunities arising from the integration of AI technologies in supply chain operations. Chapter Five presents the conclusions drawn from the study, summarizing key findings, implications for practice, and recommendations for future research. The conclusion underscores the significance of AI in transforming supply chain management practices in the retail sector and emphasizes the need for businesses to adapt to these technological advancements to remain competitive. In conclusion, this thesis contributes to the growing body of knowledge on the impact of AI on supply chain management in the retail industry. By shedding light on the benefits and challenges of AI adoption and showcasing real-world examples of AI implementation, this research provides valuable insights for retailers and supply chain professionals seeking to leverage AI technologies for operational excellence and competitive advantage.

Thesis Overview

The project titled "Analyzing the Impact of Artificial Intelligence on Supply Chain Management in Retail Industry" aims to investigate the profound influence of artificial intelligence (AI) on supply chain management practices within the retail sector. In recent years, the integration of AI technologies has revolutionized various industries, enhancing operational efficiency, decision-making processes, and customer experiences. However, the specific implications of AI adoption within the context of retail supply chains require in-depth exploration. The study will delve into the key components of supply chain management, focusing on procurement, inventory management, logistics, and demand forecasting. By examining how AI applications such as machine learning, predictive analytics, and robotic process automation are reshaping these areas, the research seeks to uncover the tangible benefits and potential challenges faced by retailers. Furthermore, the project will assess the strategic implications of AI implementation on supply chain performance metrics, cost optimization, lead time reduction, and overall competitiveness in the retail landscape. By analyzing case studies and industry best practices, the study aims to provide valuable insights for retailers looking to leverage AI technologies effectively. Moreover, the research will explore the implications of AI on workforce dynamics, organizational structures, and the skill sets required for successful AI integration in supply chain functions. Understanding the human impact of AI adoption is crucial for ensuring smooth transitions and maximizing the benefits of technological advancements. In conclusion, this project will contribute to the existing body of knowledge by offering a comprehensive analysis of how AI is transforming supply chain management practices in the retail industry. By highlighting the opportunities and challenges associated with AI implementation, the study aims to provide practical recommendations for retailers seeking to navigate the evolving landscape of AI-driven supply chains.