This project investigates the use of machine learning algorithms for the task of supplier selection in supply chain analytics for Medizinn, a company producing medical and industrial equipment electronics. Supplier selection is important in order to achieve operational effectiveness and to deliver quality products, however, classical approaches towards supplier selection are often inadequate for the current supply chain lot of complexities and large amounts of data.