KEY ASPECTS OF IMPROVING ECONOMIC EFFICIENCY IN INDUSTRIAL ENTERPRISES THROUGH THE APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Using JSC "O'zbekiston temir yo'llari" (Uzbekistan Railways) as a case study, the article examines how artificial intelligence (AI) technologies can improve the economic efficiency of industrial and infrastructure enterprises. The analysis shows that, in the first nine months of 2025, 53.4% of net profit was attributable to exchange-rate differences, while the cost of services accounted for 80.9% of revenue. AI-based cost reductions of 3–20% are estimated to generate annual savings of UZS 0.36–2.37 trillion.

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Publication Details

Journal
ECONOSCITECH INTEGRATION
Published
2026-10-31
DOI
https://doi.org/10.5281/zenodo.23831534
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
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article

KEY ASPECTS OF IMPROVING ECONOMIC EFFICIENCY IN INDUSTRIAL ENTERPRISES THROUGH THE APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Shаkirovа Fаrog‘аt Boltаevnа
ECONOSCITECH INTEGRATION
Impact of AI and Big Data on Business and Society
article

KEY ASPECTS OF IMPROVING ECONOMIC EFFICIENCY IN INDUSTRIAL ENTERPRISES THROUGH THE APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Shаkirovа Fаrog‘аt Boltаevnа
article en

Abstract

Using JSC "O'zbekiston temir yo'llari" (Uzbekistan Railways) as a case study, the article examines how artificial intelligence (AI) technologies can improve the economic efficiency of industrial and infrastructure enterprises. The analysis shows that, in the first nine months of 2025, 53.4% of net profit was attributable to exchange-rate differences, while the cost of services accounted for 80.9% of revenue. AI-based cost reductions of 3–20% are estimated to generate annual savings of UZS 0.36–2.37 trillion.

ECONOSCITECH INTEGRATION
Tashkent State Transport University (UZ)
Openalex Percentile: Top 10%
Impact of AI and Big Data on Business and Society
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