Case Study: Largest Telecommunication Company (Orange) achieves superior churn and new-business sales prediction accuracy with CloudApps Sensai

Cloudapps outperforms Google and salesforce For new sales and Customer churn Predictions

Largest Telecommunication Company faced the challenge of using a large public CRM dataset to predict three core sales and marketing outcomes—customer churn, propensity to buy new products (appetency), and likelihood to purchase upgrades (upsell). They needed a solution that could handle heterogeneous, noisy tabular data and unbalanced classes while providing actionable, real‑time guidance. Cloudapps was engaged with its Sensai AI platform to benchmark and improve predictions on these CRM use cases.

Cloudapps implemented its Sensai deep‑learning platform, which combines high performance on tabular data with real‑time explainability and next‑best-action recommendations. Sensai outscored competitors (including Google’s TabNet and tree‑ensemble methods used by Salesforce) across appetency and churn metrics and placed a close second on upsell, and Cloudapps reports over 95% accuracy in forecasting and sales efficiency in related deployments. The result was stronger, more actionable predictions that improved sales and retention decisioning for the telco.