How Can The Integration of Outlier Detection and Predictive Modeling Enhance The Efficiency And Accuracy Of The Invoice Approval Process In Company X’s EMEA Road Transport Operations?

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Keywords	Accessorial Costs, Statistical Modelling, Machine Learning, Outliers, Cost Forecasting
Thesis Advisor	Hurovich, Gustavo, van Dalen, Jan
Persistent URL	hdl.handle.net/2105/74674
Series	Business Analytics & 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	Chhabra, Shreyas. (2024, August 6). How Can The Integration of Outlier Detection and Predictive Modeling Enhance The Efficiency And Accuracy Of The Invoice Approval Process In Company X’s EMEA Road Transport Operations?. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/74674

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