Innovation science and technologiy 2-том 8-нөмір (2026) · 43-49-беттер
IMPROVING INFORMATION LOGISTICS MANAGEMENT MECHANISMS IN UZBEKISTAN BASED ON ARTIFICIAL INTELLIGENCE AND BIG DATA TECHNOLOGIES
Jamshedov, Islomjon
Аңдатпа
The theoretical and practical aspects of improving information logistics management mechanisms in the Republicof Uzbekistan through Artificial Intelligence (AI) and Big Data technologies are examined. In the digital economy, the efficiencyof logistics processes largely depends on the speed and effectiveness of collecting, processing, transmitting, and analyzinginformation flows. The application of Artificial Intelligence and Big Data technologies enables the improvement of informationexchange, demand forecasting, transportation route optimization, efficient warehouse inventory management, and the reductionof logistics costs. The ongoing digital transformation processes in Uzbekistan, the development of transport and logisticsinfrastructure, and the current state of digital technology adoption in information logistics management are analyzed. The studyemploys comparative and statistical analysis, a systems approach, and economic-mathematical methods. The findings demonstratethat the implementation of Artificial Intelligence and Big Data technologies contributes to improving logistics efficiency,enhancing the quality of managerial decision-making, and reducing logistics costs. Based on the research findings, practicalrecommendations are developed for improving information logistics management mechanisms in Uzbekistan.
information logistics, artificial intelligence, Big Data, digital logistics, logistics information system, supply chain, Internet of Things, ERP, WMS, TMS, Uzbekistan
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