CEU eTD Collection (2022); Abbas, Khawaja Hassan: Time Series Forecasting for Hourly Order Prediction

CEU Electronic Theses and Dissertations, 2022
Author Abbas, Khawaja Hassan
Title Time Series Forecasting for Hourly Order Prediction
Summary The pertaining issue that the company is facing is that due to high seasonality in the orders on hourly basis the logistic team is facing a dilemma of how many shifts are to be allocated in the next 24 hours. Therefore, our research will act as an additional analytical layer to their decision-making process that will leverage them to make more data supported decision. To summarise our problem statement is: Predicting the number of orders based on split of hour
Supervisor Reguly, Agoston
Department Economics MSc
Full texthttps://www.etd.ceu.edu/2022/abbas_khawaja-hassan.pdf

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