Prospects for the application of artificial intelligence to address workforce shortages in Kazakhstan’s transport and logistics sector

Authors

  • A. Zharmenov Satbayev University, Kazakhstan
  • S. Bekzhanova Satbayev University, Kazakhstan
  • J. Szoltysek University of Economics in Katowice, Poland

DOI:

https://doi.org/10.51301/jemet.2024.i2.08

Keywords:

artificial intelligence, transport logistics, workforce shortage, automation, digital technologies, personnel selection, logis-tics efficiency, intelligent systems

Abstract

Kazakhstan's transport and logistics sector are rapidly growing, but workforce shortages are hindering its efficiency and competitiveness. Implementing artificial intelligence can optimize logistics processes and help address the labor deficit. This article explores the prospects of using artificial intelligence to address the workforce shortage in Kazakhstan’s transport and logistics sector. AI-driven solutions in personnel selection, automation of logistics processes, and employee training can significantly enhance industry efficiency. Implementing these technologies will help mitigate workforce shortages and improve the quality of logistics services.

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Published

2024-06-30

How to Cite

Zharmenov, A. ., Bekzhanova, S. ., & Szoltysek, J. . (2024). Prospects for the application of artificial intelligence to address workforce shortages in Kazakhstan’s transport and logistics sector. Journal оf Energy, Mechanical Engineering and Transport, 1(2), 41–45. https://doi.org/10.51301/jemet.2024.i2.08

Issue

Vol. 1 No. 2 (2024): Journal of Energy, Mechanical Engineering and Transport

Section

Transport and transport logistics

License

Copyright (c) 2024 Journal оf Energy, Mechanical Engineering and Transport

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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