Optimizing the performance of forecasting models in highly promotion driven environments: a case of Beauty & Personal Care at Unilever.

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Keywords	Forecasting, FMCG, Promotional Forecasting, Unilever, BPC
Thesis Advisor	Rooderkerk, Robert, Pennings, C.L.P.
Persistent URL	hdl.handle.net/2105/63646
Series	Supply Chain Management
Organisation	Rotterdam School of Management
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Otten, Michael. (2022). Optimizing the performance of forecasting models in highly promotion driven environments: a case of Beauty & Personal Care at Unilever. In Supply Chain Management.http://hdl.handle.net/2105/63646

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