Cluster-based hierarchical demand forecasting for perishable goods

•Cluster analysis of articles based on intra-day sales pattern.•Exploiting of article clusters and organizational structure for demand forecasting.•DSS for ordering fast-moving substitutable perishable goods.•Evaluation based on real data of an industrialized bakery. Demand forecasting is of particu...

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Veröffentlicht in:	Expert systems with applications 2017-06, Vol.76, p.140-151
Hauptverfasser:	Huber, Jakob, Gossmann, Alexander, Stuckenschmidt, Heiner
Format:	Artikel
Sprache:	eng
Schlagworte:	Autoregressive models Cluster analysis Clusters Consumer goods Consumers Decision support Decision support systems Demand Economic forecasting Hierarchical demand forecasting Perishable fresh food Perishable goods Predictive analytics Sales Supply chains
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