This article explores the potential for implementing real -time analytics systems based on machine learning (ML) technologies to enhance the use of market information by small and medium -sized enterprises (SMEs). The research methodology includes a systemat ic literature review, comparative evaluation of algorithms, and analysis of the current state of SMEs in Uzbekistan. The findings suggest that ML technologies can improve SME competitiveness, optimize data -driven decision -making processes, and reduce opera tional costs. Practical mechanisms for implementing real -time market analysis systems for SMEs in the context of Uzbekistan are proposed. № 1 -SON YANVA R, 202 6-YIL 107
| Mualliflar | Yoʻldoshev Nodirbek Neʼmatjon oʻgʻli |
|---|---|
| Jurnal | Marketing |
| Nashr sanasi | 2026-01-31 |
| Son | 1 |
| Til | O‘zbek |
| DOI | 10.67668/mj/2026iss1/746 |
DOI: 10.67668/mj/2026iss1/746 · Maqolaning asl sahifasi
machine learning, small business, real -time analytics, artificial intelligence, market information, digital transformation, машинное обучение, малый бизнес, анализ в реальном времени, искусственный интеллект, рыночная информация, цифровая трансформация, mashinali oʻrganish, kichik biznes, real vaqtli tahlil, sunʼiy intellekt, bozor axboroti, raqamli transformatsiya
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