Optimization of The Food Supply Chain Through Smart Logistics Technologies: Evidence from The Tashkent Region

This article examines the economic efficiency and practical significance of implementing smart logistics technologies to optimize the food supply chain, using the Tashkent region as a case study. As global dependence on robust food logistics systems continues to increase, traditional models are becoming insufficient to meet rising demands for efficiency, waste reduction, traceability, and timely delivery. In this context, smart logistics— supported by artificial intelligence (AI), the Internet of Things (IoT), blockchain solutions, and predictive analytics—offers new opportunities for real-time monitoring, demand forecasting, and resource optimization.

The study investigates the existing weaknesses of the food supply chain in the Tashkent region, including transportation delays, insufficient cold-chain capacity, limited inventory management systems, and low levels of digital literacy among supply-chain actors. The analysis forecasts that the adoption of smart logistics technologies could reduce product waste by up to 11%, shorten delivery times by 44%, and decrease fuel consumption by approximately 20%. In addition, the research highlights the potential of these technologies to improve food safety, support sustainability goals, and reduce environmental impacts across logistics operations.

The findings contribute to the theoretical understanding of digital transformation in food supply chains and offer practical recommendations for policymakers, producers, and logistics providers seeking to strengthen food security and operational efficiency in Uzbekistan.