Optimization of treasury business processes based on artificial intelligence and machine learning technologies

Kurbanov , Alisher, Курбанов , Алишер, Kurbanov , Alisher

Илғор иқтисодиёт ва педагогик технологиялар · 2026-yil

Annotatsiya

This article examines the theoretical and methodological aspects of optimizing treasury business processes through artificial intelligence and machine learning technologies. It substantiates the need for treasury digitalization to move beyond converting processes into electronic form towards the intelligent use of data. The article proposes a decision-support mechanism based on analyzing digital process traces through Process Mining, identifying redundant and repetitive operations, intelligently automating standard low-risk operations, and generating forecasts using machine learning. The author develops G-TOP, a mechanism for the intelligent optimization of treasury business processes, and TIOI, the Treasury Intelligent Optimization Index, to evaluate its effectiveness. The research findings demonstrate that artificial intelligence should be used in treasury operations not as a substitute for human decision-making, but as a technology that improves the quality of decisions

Maqola ma’lumotlari
MualliflarKurbanov , Alisher, Курбанов , Алишер, Kurbanov , Alisher
JurnalИлғор иқтисодиёт ва педагогик технологиялар
NashriyotТошкент давлат иқтисодиёт университети ҳузуридаги «Ўзбекистон иқтисодиётини ривожлантиришнинг илмий асослари ва муаммолари» илмий-тадқиқот маркази
ISSN1994-2025
Nashr sanasi2026-10-13
Jild3
Son5
Betlar376-384
TilIngliz
DOI10.60078/3060-4842-2026-vol3-iss5-pp376-384
Indeksga qo‘shilgan2026-10-18

DOI: 10.60078/3060-4842-2026-vol3-iss5-pp376-384 · Maqolaning asl sahifasi

Kalit so‘zlar

treasury, artificial intelligence, machine learning, process mining, RPA (Robotic Process Automation), G-TOP, TIOI, business analytics, business process, budget execution, forecasting, decision support, digital transformation, казначейство, искусственный интеллект, машинное обучение, интеллектуальный анализ процессов, технологии RPA (Robotic Process Automation роботизированная автоматизация бизнес-процессов), G-TOP, TIOI, бизнес-аналитика, бизнес-процесс, исполнение бюджета, прогнозирование, поддержка принятия решений, цифровая трансформация, g‘aznachilik, sun’iy intellekt, mashinaviy o‘qitish, jarayonlarni intellektual tahlil qilish, RPA (Robotic Process Automation robotlashtirilgan biznes-jarayonlarni avtomatlashtirish) texnologiyalari, G-TOP, TIOI, biznes-analitika, biznes-jarayon, budjet ijrosi, prognozlash, qarorlarni qo‘llab-quvvatlash, raqamli transformatsiya

Iqtibos keltirish

APAKurbanov , Alisher, Курбанов , Алишер, & Kurbanov , Alisher (2026). OPTIMIZATION OF TREASURY BUSINESS PROCESSES BASED ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNOLOGIES. Илғор иқтисодиёт ва педагогик технологиялар, 3(5), 376-384. https://doi.org/10.60078/3060-4842-2026-vol3-iss5-pp376-384
GOST (OAK)Kurbanov , Alisher, Курбанов , Алишер, Kurbanov , Alisher OPTIMIZATION OF TREASURY BUSINESS PROCESSES BASED ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNOLOGIES // Илғор иқтисодиёт ва педагогик технологиялар. – 2026. – T. 3, № 5. – P. 376-384. – DOI: 10.60078/3060-4842-2026-vol3-iss5-pp376-384.
MLAKurbanov , Alisher, Курбанов , Алишер, and Kurbanov , Alisher. “OPTIMIZATION OF TREASURY BUSINESS PROCESSES BASED ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNOLOGIES.” Илғор иқтисодиёт ва педагогик технологиялар, 3(5), 376-384, 2026. https://doi.org/10.60078/3060-4842-2026-vol3-iss5-pp376-384
ChicagoKurbanov , Alisher, Курбанов , Алишер, and Kurbanov , Alisher. “OPTIMIZATION OF TREASURY BUSINESS PROCESSES BASED ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNOLOGIES.” Илғор иқтисодиёт ва педагогик технологиялар, 3(5), 376-384 (2026). https://doi.org/10.60078/3060-4842-2026-vol3-iss5-pp376-384
HarvardKurbanov , Alisher, Курбанов , Алишер, and Kurbanov , Alisher (2026) ‘OPTIMIZATION OF TREASURY BUSINESS PROCESSES BASED ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNOLOGIES’, Илғор иқтисодиёт ва педагогик технологиялар, 3(5), 376-384. https://doi.org/10.60078/3060-4842-2026-vol3-iss5-pp376-384
BibTeX
@article{kurbanovalisher2026,
  title = {OPTIMIZATION OF TREASURY BUSINESS PROCESSES BASED ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNOLOGIES},
  author = {Kurbanov , Alisher and Курбанов , Алишер and Kurbanov , Alisher},
  journal = {Илғор иқтисодиёт ва педагогик технологиялар},
  year = {2026},
  volume = {3},
  number = {5},
  pages = {376-384},
  doi = {10.60078/3060-4842-2026-vol3-iss5-pp376-384},
  url = {https://doi.org/10.60078/3060-4842-2026-vol3-iss5-pp376-384}
}

Boshqa maqola uchun iqtibos tayyorlash

Илғор иқтисодиёт ва педагогик технологиялар jurnalidan boshqa maqolalar

Илғор иқтисодиёт ва педагогик технологиялар — barcha maqolalar · 2026-yil arxivi

Kurbanov , Alisher — boshqa maqolalari