Thesis Abstract

Abstract
The retail industry is constantly evolving, driven by technological advancements and changing consumer behaviors. One of the most significant technological advancements impacting the retail sector is the integration of artificial intelligence (AI) in supply chain management. This research explores the impact of AI on supply chain management in the retail industry, aiming to understand the opportunities and challenges that AI presents to retailers. The study begins with an introduction providing an overview of the research topic, followed by a detailed background of the study that contextualizes the role of AI in supply chain management. The problem statement highlights the gaps in the existing literature regarding the specific impact of AI on supply chain management in the retail industry. The objectives of the study are to analyze how AI is transforming supply chain operations, identify the key benefits and challenges associated with AI implementation, and provide recommendations for retailers looking to adopt AI in their supply chain processes. The research methodology section outlines the approach taken to conduct the study, including the research design, data collection methods, and data analysis techniques. The literature review presents a comprehensive analysis of existing studies on AI in supply chain management, covering topics such as AI applications in inventory management, demand forecasting, logistics optimization, and customer experience enhancement. The findings of the study reveal that AI technologies have the potential to revolutionize supply chain management in the retail industry by enabling real-time data analysis, predictive analytics, and automation of routine tasks. However, the implementation of AI also poses challenges related to data privacy, integration with existing systems, and workforce reskilling requirements. The discussion section critically evaluates the implications of the study findings, highlighting the key takeaways for retailers seeking to leverage AI in their supply chain operations. The conclusion summarizes the main findings of the research and offers recommendations for future research directions in this area. Overall, this thesis contributes to the existing literature on AI in supply chain management by providing insights into the transformative potential of AI technologies for the retail industry. The findings of this study can inform strategic decision-making for retailers looking to remain competitive in an increasingly digital and data-driven marketplace.

Thesis Overview