A good command of computational and statistical tools has proven advantageous when
modelling and forecasting time series. According to recent literature, neural networks with …

The rise of e-commerce has transformed last-mile delivery, with companies' prioritising
faster, more flexible options and implementing innovations such as route optimisation …

This study aims to evaluate forecasting properties of classic methodologies (ARCH and
GARCH models) in comparison with deep learning methodologies (MLP, RNN, and LSTM …

Digital commerce activities have been on the rise in the last years. Several types of
forecasting models are considered to predict outcome variables in the context of e …

Forecasting plays a crucial role in enhancing the efficiency and effectiveness of logistics and
supply chain management in the healthcare sector, particularly in financial management …