Thesis Abstract

Abstract
This thesis investigates the impact of artificial intelligence (AI) on supply chain management (SCM) within the context of the retail industry. The advent of AI technologies has revolutionized various business functions, and its potential in optimizing supply chain operations is of particular interest. The study aims to explore how AI applications such as machine learning, predictive analytics, and automation are transforming traditional SCM practices in the retail sector. The research methodology employed a mixed-methods approach, incorporating both qualitative and quantitative techniques to gather data from retail organizations utilizing AI in their supply chain processes. A comprehensive literature review was conducted to establish a theoretical framework and understand the current landscape of AI adoption in SCM. The study involved interviews with industry experts, surveys of retail executives, and analysis of secondary data to assess the impact of AI on key SCM metrics such as efficiency, cost savings, and customer satisfaction. Findings indicate that AI technologies have significant potential to enhance supply chain efficiency and responsiveness in the retail industry. Machine learning algorithms enable demand forecasting with higher accuracy, leading to improved inventory management and reduced stockouts. AI-powered predictive analytics optimize route planning and logistics operations, resulting in cost savings and faster delivery times. Automation through AI-driven robotics and drones streamlines warehouse operations and order fulfillment processes, increasing overall productivity. Moreover, the study reveals that AI applications in SCM contribute to better customer service through personalized recommendations, real-time tracking, and seamless omnichannel experiences. Retailers leveraging AI technologies gain a competitive edge by adapting quickly to market dynamics, minimizing risks, and meeting consumer demands more effectively. However, challenges such as data security, integration complexities, and workforce reskilling need to be addressed to fully harness the benefits of AI in SCM. In conclusion, this thesis provides valuable insights into the transformative impact of AI on supply chain management in the retail industry. The research findings offer practical recommendations for retail organizations looking to adopt AI solutions to optimize their supply chain processes and stay ahead in a rapidly evolving market landscape. By embracing AI technologies strategically, retailers can achieve operational excellence, drive innovation, and deliver superior value to customers in the digital age.

Thesis Overview