The article examines various machine learning models for predicting GN FEA codes based on product descriptions entered into customs declarations. GN FEA codes are widely used by all customs services due to a number of advantages, including a more convenient and simplified approach to calculating duties and preventing potential revenue loss. This study is based on a cross -industry process to develop a data mining methodology. The results demonstrate that machine learning models are effective tools for predicting GN FEA codes based on input data. 38
| Mualliflar | Муратова Шохиста Ниматуллаевна |
|---|---|
| Jurnal | Marketing |
| Nashr sanasi | 2025-11-29 |
| Son | 11 |
| Til | Rus |
| DOI | 10.67668/mj/2025iss11/617 |
DOI: 10.67668/mj/2025iss11/617 · Maqolaning asl sahifasi
machine learning, GN FEA codes, predictive models, customs services, revenue loss prevention, trade, машинное обучение, код ТН ВЭД, прогнозные модели, таможенные службы, предотвращение потери доходов, торговля, mashinaviy o‘qitish, TIF TN kodi, prognoz modellar i, bojxona xizmati, daromad yo‘qotishlarining oldini olish, savdo
This article analyzes the current state of domestic trade in Uzbekistan, the factors affecting its efficiency, and the ways to modernize the trade system under the conditions of a digital economy. The study explores the…
The article analyzes the rapid development of digital marketing in small businesses in Uzbekistan, highlighting its advantages and existing challenges. It examines the transformation of marketing tools under the…
This article examines the pressing issue of highly qualified specialist migration in modern Uzbekistan, known as "brain drain." Based on an analysis of statistical data and the legal framework, key factors…
The article analyzes the strategic application of interdisciplinary neuromarketing methods within the highly competitive environment of modern digital marketplaces such as Wildberries, Uzum Market, and Yandex.Market…
This article examines the relationship between marketing and economic sustainability in business development. Marketing helps to promote goods and services, while economic sustainability ensures the stability and…
The article examines the strategic role of the seed sector in shaping a resilient global agricultural and food system. Drawing on international statistical series for 2000 –2023 and datasets from FAO, OECD, UPOV , ISTA…
This study examined key behavioral barriers in consumer decision -making. Emotional distortions, information overload, and cognitive shortcuts were identified as significant factors affecting purchase frequency and cost…
The article is devoted to the study of methodological approaches to teaching digital economy in higher educational institutions of Uzbekistan. Teaching competencies and effective pedagogical technologies that contribute…
The article presents methodological approaches to assessing and ensuring the economic sustainability of Uzbekistan's cotton -textile clusters. Factors influencing the level of sustainability are identified, and an…
This article provides a theoretical and empirical analysis of the impact of digital transformation, electronic services and artificial intelligence technologies on the management efficiency of service enterprises. The…