Thesis Abstract

Abstract
The integration of artificial intelligence (AI) into supply chain management has revolutionized operations in various industries, with the retail sector being a primary beneficiary. This thesis analyzes the impact of AI on supply chain management within the retail industry, focusing on its implications for efficiency, cost-effectiveness, and customer satisfaction. The study delves into the potential benefits and challenges associated with AI adoption in retail supply chains, exploring how advanced technologies can streamline processes, optimize inventory management, and enhance decision-making capabilities. Through a comprehensive literature review, this research examines current trends, best practices, and case studies to provide valuable insights into the transformative role of AI in reshaping traditional supply chain operations. Furthermore, the thesis presents a detailed research methodology, including data collection techniques and analysis tools, to investigate the real-world applications and outcomes of AI implementation in retail supply chains. The findings of this study offer a nuanced understanding of the opportunities and limitations of AI in optimizing supply chain management practices within the retail sector, shedding light on key success factors and potential areas for improvement. Ultimately, this research contributes to the existing body of knowledge on AI-driven supply chain innovation, providing practical recommendations for retailers seeking to leverage advanced technologies for sustainable competitive advantage and enhanced customer experiences.

Thesis Overview