Pattern Recognition - Product Sales Analysis Using SARIMA Model in Time Series Forecasting

Ruchir Kulkarni, Milind Rane

Abstract: Product sales analysis is the most important part for any working manufacturing industry. It not only provides an over sales record of their currently manufactured product, but also it helps them predict it performance in the near future. This performance can affect the company in a positive or negative way. For this effective analysis, I have used a SARIMAX model in time series forecasting, which I will be describing in this paper. This paper will explain why there is a need of such model instead of using a simpler form of regression to predict the sales values.

Keywords: Product Sales, SARIMAX, time series, regression, SARIMA, Forecasting, Pattern Recognition

How to Cite?: Ruchir Kulkarni, Milind Rane, "Pattern Recognition - Product Sales Analysis Using SARIMA Model in Time Series Forecasting", Volume 9 Issue 5, May 2020, International Journal of Science and Research (IJSR), Pages: 345-347, https://www.ijsr.net/getabstract.php?paperid=SR20430171526, DOI: https://dx.doi.org/10.21275/SR20430171526