Predictive Analytics & Scoring
From data history to the model that predicts the business future
Machine learning models that convert your historical data into actionable predictions: who will buy, who will churn, what will be demanded and where the risk lies.
Overview
Predictive analytics transforms your company's history into a real competitive advantage. We use affinity scoring algorithms (Jaccard, cosine similarity), churn models, demand forecasting and fraud detection so every business decision is backed by data — not intuition.
Included capabilities
Return on investment
+35%
Conversion improvement
−18%
Churn reduction
85%
Model accuracy
< 1 s
Decision time
Use cases
Each case starts from a concrete operational pain and delivers a measurable result.
Retail & E-commerceProblem: Mass email campaigns with low conversion, no personalization
Solution: Propensity model that identifies the 20% of customers generating 80% of conversions
FinanceProblem: High default rate due to manual criteria-based approvals
Solution: Scoring model evaluating 50+ variables in < 1 s with regulatory explainability
Telco & SaaSProblem: High customer churn without early warning signals
Solution: Churn model with 85% accuracy that triggers retention actions 30 days in advance
Tech stack
Python / scikit-learn
Model training
XGBoost / LightGBM
Classification models
SHAP / LIME
Model explainability
MLflow
Experiment tracking
AWS SageMaker
Production deployment
Grafana
Model monitoring
We start with a free evaluation of your case. In 30 minutes we know if it makes sense and what the first step would be.
