IMPROVING INFORMATION LOGISTICS MANAGEMENT MECHANISMS IN UZBEKISTAN BASED ON ARTIFICIAL INTELLIGENCE AND BIG DATA TECHNOLOGIES
DOI:
https://doi.org/10.5281/zenodo.22089518Abstract
The theoretical and practical aspects of improving information logistics management mechanisms in the Republic
of Uzbekistan through Artificial Intelligence (AI) and Big Data technologies are examined. In the digital economy, the efficiency
of logistics processes largely depends on the speed and effectiveness of collecting, processing, transmitting, and analyzing
information flows. The application of Artificial Intelligence and Big Data technologies enables the improvement of information
exchange, demand forecasting, transportation route optimization, efficient warehouse inventory management, and the reduction
of logistics costs. The ongoing digital transformation processes in Uzbekistan, the development of transport and logistics
infrastructure, and the current state of digital technology adoption in information logistics management are analyzed. The study
employs comparative and statistical analysis, a systems approach, and economic-mathematical methods. The findings demonstrate
that 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, practical
recommendations are developed for improving information logistics management mechanisms in Uzbekistan.
Keywords
information logistics, artificial intelligence, Big Data, digital logistics, logistics information system, supply chain, Internet of Things, ERP, WMS, TMS, UzbekistanReferences
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