Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

DIGITAL TRANSFORMATION OF FREIGHT TRANSPORTATION MANAGEMENT USING ICT TECHNOLOGIES IN UZBEKISTAN

Authors: Omonov Bakhodir Shomirzayevich; Jurayev Jamshid Mekhrojidin ugli;

DIGITAL TRANSFORMATION OF FREIGHT TRANSPORTATION MANAGEMENT USING ICT TECHNOLOGIES IN UZBEKISTAN

Abstract

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.

  • BIP!
    Impact byBIP!
    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
Powered by OpenAIRE graph
Found an issue? Give us feedback
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average