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Modelling and Data Analysis
2020. Vol. 10, no. 4, 41–50
doi:10.17759/mda.2020100404
ISSN: 2219-3758 / 2311-9454 (online)

Using Machine Learning Methods to Solve Problems of Forecasting Demand for New Products in the Internet Marketplace

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A.A. Osin, A.K. Fomin, G.B. Sologub, V.I. Vinogradov

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Abstract

The work is aimed at researching the possibility of using machine learning methods to build models for forecasting demand for new products in the online store Ozon. ru. Approaches to the solution that were not previously used in a specific task are proposed for consideration. Data on sales history and storage of goods at Ozon.ru are used as a sample. There is a description and analysis of the approximate loss of the Ozon.ru website, the data used, the process of building a base model, and the results obtained. It describes the metrics used to evaluate the prediction results and makes a comparative analysis between the prediction results of the built model and the results of heuristically selected values.

General Information

Keywords: demand forecasting, new products, encoding, gradient busting, regression, preprocessing, data processing, machine learning

Journal rubric: Data Analysis

DOI: https://doi.org/10.17759/mda.2020100404

Published

For citation: Osin, A.A., Fomin, A.K., Sologub, G.B., Vinogradov, V.I. (2020). Using Machine Learning Methods to Solve Problems of Forecasting Demand for New Products in the Internet Marketplace. Modelling and Data Analysis, 10(4), 41–50. (In Russ.). https://doi.org/10.17759/mda.2020100404

© Osin A.A., Fomin A.K., Sologub G.B., Vinogradov V.I., 2020

License: CC BY-NC 4.0

References

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Information About the Authors

Artem A. Osin, Moscow Aviation Institute (National Research University), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-2664-1370, e-mail: artemosin1@yandex.ru

Artem K. Fomin, Moscow Aviation Institute (National Research University), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-3545-4435, e-mail: artem.fomin@outlook.com

Gleb B. Sologub, Candidate of Science (Physics and Matematics), Associate Professor of the Department of Mathematical Cybernetics of Institute of Information Technologies and Applied Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-5657-4826, e-mail: glebsologub@ya.ru

Vladimir I. Vinogradov, Candidate of Science (Physics and Matematics), Associate Professor, Department of Mathematical Cybernetics, Moscow Aviation Institute (National Research University), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-3773-9653, e-mail: vvinogradov@inbox.ru

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