Retail Demand Forecasting: A Comparative Analysis of Deep Neural Networks and the Proposal of LSTMixer, a Linear Model Extension

Accurate retail demand forecasting is integral to the operational efficiency of any retail business. As demand is described over time, the prediction of demand is a time-series forecasting problem which may be addressed in a univariate manner, via statistical methods and simplistic machine learning...

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Bibliographic Details

Published in:	Information
Main Authors:	Georgios Theodoridis, Athanasios Tsadiras
Format:	Article
Language:	English
Published:	MDPI AG 2025-07-01
Subjects:	retail demand forecasting time-series forecasting deep neural networks multivariate forecasting
Online Access:	https://www.mdpi.com/2078-2489/16/7/596