The capacity of making reliable predictions and knowing how to exploit them profitably, is fundamental to support the business of any company, whatever the sector in which it operates. In this perspective, Machine Learning algorithms, Data Analysis and Big Data are extremely useful and widely applied tools. This work is carried out in collaboration with CNH Industrial, a global leader in agricultural and construction machinery and services, providing a wide range of replacement parts to thousands of dealers worldwide. The aim of the thesis is to make predictions on dealers propensity to buy a specific part in a certain month, using Classification learning algorithms.