Reducing energy costs by predicting and controlling efficiency, saving up to 35% and enabling anomaly detection and automated management for commercial properties.
Our client is building a new real-estate evaluation system where tax will be calculated based on the property value.
Churn prediction model for business customers that identified potential churners with higher precision than the client’s existing model, achieving a 15-20% improvement in accuracy.