
The study aimed to identify key aspects of implementing information and communication technologies (ICT) in cargo transportation in Uzbekistan. It analysed the current challenges of the national logistics system, including route optimization, inventory management, and limited transparency in cargo operations, as well as available ICT solutions, their advantages, limitations, and implementation barriers. Two solutions were selected for detailed examination: the Transportation Management System (TMS) and the Real-Time Location System (RTLS). The implementation process, from technology selection and system integration to launch and performance monitoring, was described with consideration of local infrastructure and operational conditions. The study also reviewed the experience of international logistics operators, such as Federal Express, Maersk, and United Parcel Service, and considered their applicability to Uzbekistan. Results indicated that digital solutions reduce operating costs, enhance planning accuracy, and improve cargo tracking. Specifically, TMS can optimize transportation costs through automated route planning, while RTLS provides precise real-time cargo monitoring, reducing delays and errors. Additionally, Warehouse Management Systems, the Internet of Things, and blockchain technologies were found to enhance inventory management, increase process transparency, and secure supply chain data in the Uzbek context. These findings provide practical insights for modernizing Uzbekistan’s freight logistics system and improving overall operational efficiency.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
