Using clustering to improve sales forecasts in retail merchandising

DOI10.1007/s10479-008-0417-zzbMath1185.62116OpenAlexW2079147754MaRDI QIDQ970165

Nitin R. Patel, Mahesh Kumar

Publication date: 10 May 2010

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-008-0417-z

zbMATH Keywords

clusteringforecastingcombining forecasts

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics (62P99) Consumer behavior, demand theory (91B42) Marketing, advertising (90B60)

Related Items (3)

Concurrent neural network: a model of competition between times series ⋮ High-dimensional VAR with low-rank transition ⋮ Frequent pattern mining-based sales forecasting

Cites Work

• Unnamed Item
• Clustering data with measurement errors
• Review of guidelines for the use of combined forecasts
• On Grouping for Maximum Homogeneity

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