Expanding your customer base requires a large investment from your company through advertisements and representatives. This is going well and profits are coming in, but how do you deal with customers who drop out or suddenly stop ordering? Early detection offers you the opportunity to stimulate the customer, for example through a personal offer.

Customer churn prediction is a complex problem: customers are diverse, interact with your company in different ways and can have different reasons to stop the cooperation. Detecting customers who are about to leave but who have not yet finalized their decision is the purpose of churn prediction.

ML2Grow uses advanced machine learning techniques to solve this problem. Based on hidden relationships between different customers and their behaviour, an accurate risk profile can be drawn up for each customer from limited data, such as a list of transactions.

Short description:

• HLS is the largest independent distributor of beverages and catering in Belgium
• A detailed product-level analysis of the churn behaviour of customers

Work performed:

• Custom analysis, development and visualization platform for customer churn

Added value:

• Fully integrated into sales and marketing team workflow
• Weekly churn updates.