Project Abstract

Abstract
The integration of artificial intelligence (AI) technologies in supply chain management has revolutionized the retail industry, offering unparalleled opportunities for efficiency, optimization, and innovation. This research study delves into the intricate relationship between AI applications and supply chain management in the retail sector, aiming to analyze the profound impacts, challenges, and future implications of this technological advancement. Through an extensive literature review, the study explores the current state of AI adoption in supply chain management, highlighting key trends, benefits, and potential risks associated with this transformative technology. Chapter one of the research provides a comprehensive introduction to the topic, outlining the background of the study, defining the problem statement, objectives, limitations, scope, significance, structure, and key terms of the research. Chapter two presents a detailed literature review comprising ten critical themes related to AI in supply chain management, including automation, predictive analytics, demand forecasting, inventory management, logistics optimization, supplier relationship management, customer experience, sustainability, risk management, and competitive advantage. In chapter three, the research methodology is elucidated, encompassing various aspects such as research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter delineates the systematic approach employed to investigate the impact of AI on supply chain management in the retail industry, ensuring rigor and validity in the research process. Chapter four constitutes the core of the study, offering a comprehensive discussion of the research findings derived from empirical data analysis. The chapter examines seven key findings related to the impact of AI on supply chain management in retail, providing insights into performance improvements, cost reduction, operational efficiencies, decision-making capabilities, supply chain visibility, risk mitigation, and competitive positioning. Lastly, chapter five presents the conclusion and summary of the research, encapsulating the key insights, implications, and recommendations emanating from the study. The chapter synthesizes the findings to draw overarching conclusions regarding the transformative potential of AI in redefining supply chain management practices within the retail industry. It also outlines future research directions and practical implications for industry practitioners and policymakers seeking to leverage AI technologies effectively in enhancing supply chain performance and competitiveness. In conclusion, this research study contributes to the growing body of knowledge on the impact of artificial intelligence on supply chain management in the retail industry, shedding light on the transformative potential of AI technologies and providing valuable insights for academics, practitioners, and stakeholders navigating the complex landscape of AI-driven supply chain innovation.

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