In this blog post our Data Scientist Nicholas explains his master's thesis on forecasting daily order volumes for a prominent Danish logistics company's customers. He guides you through the features of the data, unveils the forecasting approaches he employed, and shares the key findings that emerged.

by Nicholas Nyengaard, April 28, 2023

In this blog post our Lead Data Scientist Christian explains how machine learning is transforming demand forecasting in various industries. He explores the shift from traditional models to machine learning methods and the main model types relevant to demand forecasting. And highlights the advantages of using machine learning in demand forecasting.

by Christian Montes Schütte, PhD | Assoc Prof, April 28, 2023