Sales forecasting for retail stores using hybrid neural networks and sales-affecting variables

Accurate sales forecasting is vital for balancing demand and supply and enhancing profitability in the retail sector. Deep learning (DL) models have shown promise in this area; however, most either handle temporal or spatial patterns in isolation. Moreover, many studies rely on synthetic datasets or...

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Bibliografiske detaljer

Principais autores:	Saad Mansur, Kashif Sattar, Seyed Ebrahim Hosseini, Shahbaz Pervez, Iftikhar Ahmad, Kashif Saleem, Ahmed Zohier Elhendi
Format:	Artigo
Sprog:	Inglês
Udgivet:	PeerJ Inc. 2025-09-01
Serier:	PeerJ Computer Science
Fag:	Sales forecasting Retail store Deep learning CNN LSTM Mutivariate dataset
Online adgang:	https://peerj.com/articles/cs-3058.pdf
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