International Journal of Communication and Information Technology

P-ISSN: 2707-661X, E-ISSN: 2707-6628
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2020, Vol. 1, Issue 2, Part A

Machine learning for product sales forecasting


Author(s): Swetha Ravuru

Abstract: We study the utilization of AI models for sales figure investigation. The fundamental goal of this paper is to consider the primary methodologies and contextual analyses of utilizing AI for sales forecasting. The summing up impact of AI was thought of. This impact can be utilized to create sales gauges when another item or store is propelled with a modest quantity of chronicled information for the exceptional sales time arrangement. The stacking strategy has been concentrated to develop a relapse group of single models. Utilizing results stacking procedures, models for sales time arrangement estimation can improve the presentation of participation models.

DOI: 10.33545/2707661X.2020.v1.i2a.18

Pages: 37-40 | Views: 1535 | Downloads: 1151

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How to cite this article:
Swetha Ravuru. Machine learning for product sales forecasting. Int J Commun Inf Technol 2020;1(2):37-40. DOI: 10.33545/2707661X.2020.v1.i2a.18
International Journal of Communication and Information Technology

International Journal of Communication and Information Technology

International Journal of Communication and Information Technology
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