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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">sano</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Сибирского института бизнеса и информационных технологий</journal-title><trans-title-group xml:lang="en"><trans-title>Herald of Siberian Institute of Business and Information Technologies</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2225-8264</issn><publisher><publisher-name>Сибирский институт бизнеса и информационных технологий</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.24412/2225-8264-2024-3-822</article-id><article-id custom-type="elpub" pub-id-type="custom">sano-822</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>РАЗДЕЛ II. РЕГИОНАЛЬНАЯ И ОТРАСЛЕВАЯ ЭКОНОМИКА (ЭКОНОМИЧЕСКИЕ НАУКИ)</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>SECTION II. REGIONAL AND SECTORAL ECONOMICS (ECONOMIC SCIENCES)</subject></subj-group></article-categories><title-group><article-title>ИННОВАЦИОННЫЕ ПОДХОДЫ К ОНЛАЙН-УПРАВЛЕНИЮ АССОРТИМЕНТОМ В СФЕРЕ МОДНОЙ РОЗНИЧНОЙ ТОРГОВЛИ</article-title><trans-title-group xml:lang="en"><trans-title>INNOVATIVE APPROACHES TO ONLINE ASSORTMENT MANAGEMENT IN FASHION RETAIL</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0000-7052-8570</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Телеватюк</surname><given-names>С. Д.</given-names></name><name name-style="western" xml:lang="en"><surname>Televatyuk</surname><given-names>S. D.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Телеватюк Сергей Дмитриевич — Mini MBA по основам системной модели управления предприятием</p><p>г. Санкт-Петербург, Биржевой пер., 2</p></bio><bio xml:lang="en"><p>Sergey D. Televatyuk, Mini MBA in Fundamentals of Systematic Enterprise Management Model</p></bio><email xlink:type="simple">tsd1973@rambler.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Русская Школа Управления</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Russian School of Management</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>21</day><month>10</month><year>2024</year></pub-date><volume>13</volume><issue>3</issue><fpage>126</fpage><lpage>132</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Телеватюк С.Д., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Телеватюк С.Д.</copyright-holder><copyright-holder xml:lang="en">Televatyuk S.D.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://sano.elpub.ru/jour/article/view/822">https://sano.elpub.ru/jour/article/view/822</self-uri><abstract><p>Цель исследования заключается в выявлении возникающих стратегий в глобальном сегменте розничной торговли модной одеждой для лучшего управления ассортиментом в интернете в период с 2019 по 2023 годы в пяти странах, включая США, Великобританию, Германию, Китай и Австралию с выборкой из пятидесяти компаний. Анализируя данные с использованием эконометрического анализа, исследование стремится установить ключевые переменные, которые влияют на показатели продаж в розничной торговле модной одеждой, и дать рекомендации по улучшению этих показателей для компаний. Основные открытия, сделанные Сати, показывают, что методы, используемые при определении цен, значительно влияют на объемы продаж, причем низкие цены часто соответствуют большим объемам продаж, но при этом с некоторым влиянием на прибыльность. Другие аспекты, которые способствуют оптимизации рекламного таргетинга и улучшению результатов продаж, включают правильное нацеливание рекламного сообщения на потребителей, а также использование подходящего времени, основанного на бизнес-циклах и циклах поведения потребителей. Понимание тенденций ценовой конкуренции формирует стратегии конкуренции и дифференциации в контексте онлайн-ассортиментов. Это привело к практическим последствиям, включая определение динамических планов ценообразования относительно активности конкурентов, рекламные предложения с качествами обоснованных основ, поддержанных сильными статистическими элементами, и даже контроль запасов, предотвращающий ненужные дефициты. С точки зрения метода, использованного в исследовании, оно включает анализ данных о продажах, другие записи о ценах, промоакциях и даже экономических факторах, при этом используется множественная регрессия. Результаты предлагают тактические директивы для внедрения использования данных в планировании ассортимента, включая эконометрическое моделирование в процедурах ценообразования и в стратегии розничного ассортимента на фоне изменяющихся моделей потребительского поведения. Таким образом, используя эти знания, розничные торговцы модной одеждой могут улучшить свое рыночное положение, увеличить спрос и таким образом развить успешный бизнес на рынке в условиях развивающейся онлайн-розничной среды</p></abstract><trans-abstract xml:lang="en"><p>The objective of the study is to identify emerging strategies in the global fashion retail segment for better online assortment management from 2019 to 2023 in five countries including the US, UK, Germany, China and Australia with a sample of fifty companies. By analyzing the data using econometric analysis, the study seeks to establish the key variables that influence sales performance in fashion retail and provide recommendations for companies to improve these performance. Key findings by Satie show that the methods used in pricing significantly affect sales volumes, with low prices often corresponding to high sales volumes, but with some impact on profitability. Other aspects that contribute to the optimization of advertising targeting and improved sales results include the correct targeting of the advertising message to consumers, as well as the use of appropriate timing based on business cycles and consumer behavior cycles. Understanding the trends of price competition shapes competition and differentiation strategies in the context of online assortments. This has led to practical implications, including the definition of dynamic pricing plans in relation to competitor activity, promotional offers with the qualities of sound fundamentals supported by strong statistical elements, and even inventory control to prevent unnecessary shortages. In terms of the method used in the study, it includes the analysis of sales data, other records of prices, promotions, and even economic factors, using multiple regression. The results offer tactical guidelines for the implementation of data use in assortment planning, including econometric modeling in pricing procedures and in retail assortment strategy against the backdrop of changing consumer behavior patterns. Thus, by using this knowledge, fashion retailers can improve their market position, increase demand and thus develop a successful business in the market in the evolving online retail environment.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>интернет-торговля</kwd><kwd>управление ассортиментом</kwd><kwd>индустрия моды</kwd><kwd>эконометрическое моделирование</kwd><kwd>стратегии ценообразования</kwd><kwd>тактики продвижения</kwd><kwd>потребительские предпочтения</kwd><kwd>конкурентное позиционирование</kwd><kwd>оптимизация запасов</kwd><kwd>анализ данных</kwd></kwd-group><kwd-group xml:lang="en"><kwd>e-commerce</kwd><kwd>assortment management</kwd><kwd>fashion industry</kwd><kwd>econometric modeling</kwd><kwd>pricing strategies</kwd><kwd>promotion tactics</kwd><kwd>consumer preferences</kwd><kwd>competitive positioning</kwd><kwd>inventory optimization</kwd><kwd>data analysis</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Chernova V. 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