In the previous post we looked at enabling the built-in integration of Dynamics NAV and Time Series, which uses a Machine Learning (ML) model to predict inventory or cash requirements. This time we will make a very basic example with the sole aim of sending data from Dynamics NAV as input into an ML model that is running as a web service, and receive a result back from the model.