Machine Learning Algorithm to foresee product withdrawals

cdmon joins inLab FIB UPC with the aim of developing a Machine Learning algorithm applied to predict non-renewal in contracted products. The result of the project will be a computer program that allows the processing of data and internal information available to predict product losses 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.