Stéphane CHOLET (SoftBridge) : Don\'t leave! How Machine Learning can help prevent churn - Use case

For a company that sells its services, retaining customers and keeping them for as long as possible is structurally important, even vital to its survival. Churn is therefore commonly understood to mean the departure of customers, for example to a competitor.
In an approach combining big data, modelling, visualisation and machine learning, we propose to tell them: "Don't leave! Predicting that a client will leave is fine, but prescribing* that they stay is better. In this dive into the heart of IT R&D, you will discover how fundamental and applied research are put at the service of the industry, through a use case, that of churn prevention.
* Taken here in the marketing sense, prescribing a customer to stay means influencing him to stay.