Machine Learning Algorithm to predict product discontinuation by cdmon

cdmon joins inLab FIB UPC with the aim of developing a Machine Learning algorithm applied to predict the non-renewal of contracted products. The outcome of the project will be a computer program that will allow the processing of available internal data and information to predict product casualties with an associated degree of uncertainty. The benefit of having these results is that cdmon will be able to make decisions based on this data and implement preventive and corrective actions well in advance.