A Comparative Study of Traditional and Machine Learning-Based Demand Forecasting of Ice Cream

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Keywords	Supply chain performance, Fast-moving consumer goods (FMCG), Machine learning, Unilever, Inventory management, Forecasting methods
Thesis Advisor	van Dalen, Jan, Aghamohammadzadeh, Ehsan
Persistent URL	hdl.handle.net/2105/68889
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	Mol, Pablo. (2023, July 4). A Comparative Study of Traditional and Machine Learning-Based Demand Forecasting of Ice Cream. Supply Chain Management. Retrieved from http://hdl.handle.net/2105/68889

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