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 Style AAA Style APA 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, July 12). Optimizing the performance of forecasting models in highly promotion driven environments: a case of Beauty & Personal Care at Unilever.. Supply Chain Management. Retrieved from http://hdl.handle.net/2105/63646

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