Thesis Abstract

Abstract
This thesis examines the impact of artificial intelligence (AI) on supply chain management efficiency within the retail industry. The integration of AI technologies in supply chain processes has revolutionized the way retailers manage their operations, enhance customer experiences, and optimize business performance. The study investigates how AI applications, such as machine learning, predictive analytics, and robotics, influence supply chain efficiency in retail operations. Through a comprehensive literature review and empirical research, the thesis aims to provide insights into the benefits and challenges associated with AI adoption in supply chain management within the retail sector. Chapter One Introduction 1.1 Introduction 1.2 Background of Study 1.3 Problem Statement 1.4 Objectives of Study 1.5 Limitations of Study 1.6 Scope of Study 1.7 Significance of Study 1.8 Structure of the Thesis 1.9 Definition of Terms Chapter Two Literature Review 2.1 Introduction to Literature Review 2.2 Overview of Supply Chain Management in Retail Industry 2.3 Concept of Artificial Intelligence in Supply Chain Management 2.4 Applications of Artificial Intelligence in Retail Supply Chains 2.5 Benefits of AI Adoption in Retail Supply Chain Management 2.6 Challenges and Barriers to AI Integration in Retail Supply Chains 2.7 Best Practices for Implementing AI in Retail Supply Chains 2.8 Case Studies on AI Implementation in Retail Supply Chains 2.9 Gaps in Existing Literature 2.10 Theoretical Framework Chapter Three Research Methodology 3.1 Introduction to Research Methodology 3.2 Research Design 3.3 Data Collection Methods 3.4 Sampling Techniques 3.5 Data Analysis Procedures 3.6 Ethical Considerations 3.7 Limitations of the Research Methodology 3.8 Validity and Reliability of Data 3.9 Research Hypotheses 3.10 Research Framework Chapter Four Discussion of Findings 4.1 Introduction to Discussion 4.2 Analysis of Empirical Results 4.3 Interpretation of Data 4.4 Comparison with Existing Literature 4.5 Implications for Retail Industry 4.6 Recommendations for Retailers 4.7 Future Research Directions Chapter Five Conclusion and Summary 5.1 Conclusion 5.2 Summary of Findings 5.3 Contributions to Knowledge 5.4 Practical Implications 5.5 Recommendations for Future Research 5.6 Conclusion Remarks Overall, this thesis aims to contribute to the growing body of knowledge on the impact of artificial intelligence on supply chain management efficiency in the retail industry. The findings of this study will provide valuable insights for retailers, supply chain professionals, and policymakers seeking to leverage AI technologies to enhance operational performance and competitiveness in the dynamic retail landscape.

Thesis Overview