APPLIED AI-DRIVEN DIGITAL TRANSFORMATION OF PHARMACEUTICAL SUPPLY CHAIN OPERATIONS: A NATIONAL-SCALE DEPLOYMENT STUDY IN UZBEKISTAN

Abstract

Uzbekistan's pharmaceutical sector is undergoing significant digital transformation, with over 220 private pharmaceutical companies operating in the country and government-mandated serialization systems requiring end-to-end tracking of pharmaceutical products. However, the operational infrastructure connecting procurement, distribution, and inventory management across pharmacy networks remains largely dependent on manual processes. This paper presents the applied deployment and outcomes of Restocks AI, an autonomous artificial intelligence platform for pharmaceutical supply chain management, across two major pharmacy networks in Uzbekistan spanning a combined 427 locations in all 14 administrative regions. The platform integrates multi-agent decisioning systems, predictive inventory engines, and distributed data processing infrastructure to autonomously manage demand forecasting, procurement automation, expiration tracking, and supply chain coordination. Deployment at OXYMED (150+ private pharmacy locations) and the Central Polyclinic of the Ministry of Internal Affairs (277 government pharmacy locations, annual budget exceeding 1.2 trillion UZS) yielded measurable results: 70% reduction in manual workload, procurement cycle compression from 18 days to under 4, 65% reduction in expiration waste, 70% fewer stockout incidents, and combined financial impact of 812 billion UZS. These outcomes demonstrate the viability of applied AI as digital infrastructure for national-scale healthcare operations in Uzbekistan and provide a framework for digital transformation of pharmaceutical logistics in the broader Central Asian region.