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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd">
<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2518-1092</journal-id><journal-title-group><journal-title>Research result. Information technologies</journal-title></journal-title-group><issn pub-type="epub">2518-1092</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2518-1092-2019-4-1-0-3</article-id><article-id pub-id-type="publisher-id">1639</article-id><article-categories><subj-group subj-group-type="heading"><subject>SYSTEM ANALYSIS AND PROCESSING OF KNOWLEDGE</subject></subj-group></article-categories><title-group><article-title>AUTOMATED FORECASTING SYSTEM FOR VOLUMES OF SALES WHOLESALE TRADE COMPANY WITH SEASON ACCOUNT</article-title><trans-title-group xml:lang="en"><trans-title>AUTOMATED FORECASTING SYSTEM FOR VOLUMES OF SALES WHOLESALE TRADE COMPANY WITH SEASON ACCOUNT</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Litvinova</surname><given-names>Alina Aleksandrovna</given-names></name><name xml:lang="en"><surname>Litvinova</surname><given-names>Alina Aleksandrovna</given-names></name></name-alternatives><email>figer91@mail.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Zabnin</surname><given-names>Sergey Aleksandrovich</given-names></name><name xml:lang="en"><surname>Zabnin</surname><given-names>Sergey Aleksandrovich</given-names></name></name-alternatives><email>figer91@mail.ru</email></contrib></contrib-group><pub-date pub-type="epub"><year>2019</year></pub-date><volume>4</volume><issue>1</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/information/2019/1/ит3.pdf" /><abstract xml:lang="ru"><p>The paper considers the development of an automated system for forecasting sales volumes of a wholesale trading company, considering seasonality. The method of searching for similar subsequences of the time series of forecasting sales volume, considering the seasonal component, has been adapted to the specifics of forecasting sales volumes of a particular enterprise. The effectiveness of adapting the method of searching for similar time series subsequences for forecasting sales volumes at an enterprise has been evaluated.</p></abstract><trans-abstract xml:lang="en"><p>The paper considers the development of an automated system for forecasting sales volumes of a wholesale trading company, considering seasonality. The method of searching for similar subsequences of the time series of forecasting sales volume, considering the seasonal component, has been adapted to the specifics of forecasting sales volumes of a particular enterprise. The effectiveness of adapting the method of searching for similar time series subsequences for forecasting sales volumes at an enterprise has been evaluated.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>sales forecasting</kwd><kwd>dynamic transformation of the timeline</kwd><kwd>forecasting</kwd><kwd>numerical methods</kwd><kwd>criteria</kwd><kwd>sales</kwd><kwd>seasonality</kwd></kwd-group><kwd-group xml:lang="en"><kwd>sales forecasting</kwd><kwd>dynamic transformation of the timeline</kwd><kwd>forecasting</kwd><kwd>numerical methods</kwd><kwd>criteria</kwd><kwd>sales</kwd><kwd>seasonality</kwd></kwd-group></article-meta></front><back><ref-list><title>Список литературы</title><ref id="B1"><mixed-citation>1. Schwager, Jack D. Technical analysis. Full course / Jack D. Schwager - M.: Alpina лишablisher, 2017. - 880 p.</mixed-citation></ref><ref id="B2"><mixed-citation>2. Murphy, John J. Technical analysis of futures markets. Theory and Practice / John J. 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