Enhancing Demand Forecasting Accuracy in the Fast-Moving Consumer Goods Sector: A Deep Learning Approach Integrating Supplier and Retailer Insights

Additional Metadata
Keywords	deep learning, supply chain management, fast moving consumer goods, demand forecasting, forecasting
Thesis Advisor	Wolters, M.J.J., Gutt, Dominik
Persistent URL	hdl.handle.net/2105/74382
Series	Business Information 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	Diepeveen, Robert. (2024, July 30). Enhancing Demand Forecasting Accuracy in the Fast-Moving Consumer Goods Sector: A Deep Learning Approach Integrating Supplier and Retailer Insights. Business Information Management. Retrieved from http://hdl.handle.net/2105/74382

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