Time Series Forecasting with Hybrid SARIMA
S Pramothini, P Aakash, V M Vanmathi, Kanagasabapathi Somasundaram, Senthil Kumar Thangavel · 2025
Forecasting is an important task in any organization so that they can predict the targets and modify their strategies in order to improve their productivity of sales for the upcoming future. This paper primarily deals about the prediction of products for sales. The focus has been mainly on forecasting techniques like SARIMA and it is optimized using a gradient boosting algorithm to improve the prediction rate. The dataset that has been used for current predictions is a source from Kaggle. The data comprises of both linear and non-linear data to simulate the real time sales.