Development of an AI-driven smart logistics ecosystem for economic growth in Uzbekistan: theoretical analysis and policy recommendations based on international experience

Abstract

This article examines the development of an AI-driven smart logistics ecosystem as a key driver of economic growth in Uzbekistan. It provides a theoretical analysis of logistics digitalization, emphasizing the role of artificial intelligence in enhancing efficiency, transparency, and supply chain resilience. Drawing on international experience, the study identifies essential technological, institutional, and infrastructural components required for successful implementation. The research highlights critical challenges in emerging economies, including limited digital infrastructure, data fragmentation, and skills shortages, and demonstrates that the development of an AI-based logistics ecosystem can significantly improve trade performance and support sustainable economic development. The study also provides policy recommendations aimed at facilitating the effective implementation of smart logistics systems.