Fourth Edition of the International Conference on Research in Applied Mathematics and Computer Science ICRAMCS 2022
 March 24-25-26, 2022
Online and Face-to-Face Conference

ICRAMCS, 4 (2022) | Proceedings ISSN: 2605-7700

Research Communication | Open Access
Volume 2022 | Communication ID 352
Comparative studies of the SARIMA and LSTM models for sales forecasting of a product category in a Marketplace.
Ikhlass Boukrouh, Abdellah Azmani
Academic Editor: Youssef EL FOUTAYENI
Received
Accepted
Published
January 30, 2022
March 03, 2300
April 15, 2300

Abstract: Sales forecasting is an essential tool for managing a Marketplace. Its importance is reflected in the fact that it can help suppliers to analyze products or services appreciated by customers in order to increase profits and to reduce costs and returns of products. This article compares SARIMA of BoxJenkins models to the LSTM model of recurrent neural networks to predict sales of a product category. It aims to study these models with and without exogenous variables to see their influences on prediction. These variables are sales, holidays and seasons. Before the models are implemented, the ...