Explainable dual LSTM-autoencoders with exogenous features for anomaly detection and supply chain forecasting

Abstract Accurate demand prediction and early detection of anomalies are essential for efficiency, costs and users’ satisfaction in supply chain. Due to enormous growth, the retail systems have become more complicated and there is need for more advanced and intelligent systems for optimal management...

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Hlavní autor:	Chen Xiaoyang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-11-01
Edice:	Scientific Reports
Témata:	Time series forecasting Anomaly detection Supply chain operations LSTM-autoencoders Dual-head architecture Explainable AI
On-line přístup:	https://doi.org/10.1038/s41598-025-26449-4
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