Microsoft Time Series algorithm application for sales forecasting

  • А. Stepanenko Kyiv National University Taras Shevchenko
  • А. Khlevniy Kyiv National University Taras Shevchenko
Keywords: forecasting, ARIMA, ARTXP, Microsoft Time Series algorithm


The article deals with the forecasting of product sales by known sales history without additional factors with the help of Microsoft Time Series algorithm. The study is concentrated on the analysis of the advantages and drawbacks of the given algorithm. Authors give the conclusions about the expediency of Microsoft Time Series algorithm application in product sales forecasting. The outcomes of practical Microsoft Time Series algorithm leveraging proved its effectiveness in forecasting sales based on historical data.


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How to Cite
StepanenkoА., & KhlevniyА. (2020). Microsoft Time Series algorithm application for sales forecasting. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (35), 79-83. Retrieved from