Organizational and economic mechanisms for enhancing the efficiency of retail services through artificial intelligence technologies

Urinov , Yigitali

Pioneering Studies and Theories · 2026-yil

Annotatsiya

This article examines the organizational and economic mechanisms through which artificial intelligence (AI) enhances service efficiency in retail trade enterprises. The relevance of the topic is driven by intensifying competition, changing consumer expectations, and the rapid development of the digital economy in Uzbekistan under the national Strategy for the Development of Artificial Intelligence Technologies until 2030. The aim of the study is to assess the impact of AI adoption on retail service efficiency and to substantiate the mechanisms that convert this adoption into measurable performance gains. A mixed-methods design was applied: a survey of 128 retail enterprises operating in different regions of Uzbekistan, semi-structured interviews with 17 industry experts, and analysis of official statistical data. Service efficiency was measured through an integral coefficient combining speed, accuracy, availability, cost, and customer satisfaction. The results show that enterprises applying AI solutions in an integrated manner reduced average customer service time by 41 per cent, increased order fulfilment accuracy by 17 per cent, raised the customer satisfaction index by 24 per cent, and lowered operating costs by 21 per cent. Correlation analysis confirmed a strong positive relationship between the intensity of AI adoption and service efficiency (r = 0.58– 0.74). The study also identifies key barriers such as digital-skills shortages, high integration costs, and data-security concerns. On this basis, a phased implementation model and a set of organizational and economic mechanisms are proposed. The findings are useful for retail managers, sector regulators, and researchers of the digital economy.

Maqola ma’lumotlari
MualliflarUrinov , Yigitali
JurnalPioneering Studies and Theories
NashriyotХалқаро Нордик университети
ISSN3060-5105, 3060-5105
Nashr sanasi2026-07-11
Jild2
Son4
Betlar2-10
TilIngliz
Ilmiy sohaIqtisodiyot
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

artificial intelligence, retail trade, service efficiency, digital transformation, machine learning, customer experience, organizational mechanisms, economic mechanisms, personalization, Uzbekistan

Ilmiy soha

Iqtisodiyot

Iqtibos keltirish

APAUrinov , Yigitali (2026). ORGANIZATIONAL AND ECONOMIC MECHANISMS FOR ENHANCING THE EFFICIENCY OF RETAIL SERVICES THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES. Pioneering Studies and Theories, 2(4), 2-10. https://pstjournal.uz/index.php/pst/article/view/134
GOST (OAK)Urinov , Yigitali ORGANIZATIONAL AND ECONOMIC MECHANISMS FOR ENHANCING THE EFFICIENCY OF RETAIL SERVICES THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES // Pioneering Studies and Theories. – 2026. – T. 2, № 4. – P. 2-10.
MLAUrinov , Yigitali. “ORGANIZATIONAL AND ECONOMIC MECHANISMS FOR ENHANCING THE EFFICIENCY OF RETAIL SERVICES THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES.” Pioneering Studies and Theories, 2(4), 2-10, 2026. https://pstjournal.uz/index.php/pst/article/view/134
ChicagoUrinov , Yigitali. “ORGANIZATIONAL AND ECONOMIC MECHANISMS FOR ENHANCING THE EFFICIENCY OF RETAIL SERVICES THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES.” Pioneering Studies and Theories, 2(4), 2-10 (2026). https://pstjournal.uz/index.php/pst/article/view/134
HarvardUrinov , Yigitali (2026) ‘ORGANIZATIONAL AND ECONOMIC MECHANISMS FOR ENHANCING THE EFFICIENCY OF RETAIL SERVICES THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES’, Pioneering Studies and Theories, 2(4), 2-10. https://pstjournal.uz/index.php/pst/article/view/134
BibTeX
@article{urinovyigitali2026,
  title = {ORGANIZATIONAL AND ECONOMIC MECHANISMS FOR ENHANCING THE EFFICIENCY OF RETAIL SERVICES THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES},
  author = {Urinov , Yigitali},
  journal = {Pioneering Studies and Theories},
  year = {2026},
  volume = {2},
  number = {4},
  pages = {2-10},
  url = {https://pstjournal.uz/index.php/pst/article/view/134}
}

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