Develop a predictive model based on large data sets. Identify the window of opportunity. Establish a system of regular customer evaluation. Notify churn management and retention teams within the window of an opportunity to run segment-specific churn prevention campaigns and reduce voluntary churn.
Identify customers that are going to spend the most money, in the most consistent way and over the longest period. Model the purchasing behavior of customers in order to predict their future actions and estimate their lifetime value.
By analyzing data related to lifecycle maintenance of technical equipment, our system can predict both timelines for probable maintenance events and upcoming capital expenditure requirements to streamline maintenance costs and avoid critical downtime.