Predictive Analytics

The most valuable insight is the one that arrives before a decision closes. Predictive Analytics gives business users access to ML-powered forecasting and scoring: churn prediction, demand forecasting, lead scoring, inventory optimization. No data science team required to operate it.

Inferdat trains predictive models on the customer's historical data. Not generic benchmarks or pre-trained defaults. Models that reflect the customer's actual patterns, seasonality, and business dynamics. Output is structured for business users: a churn score per customer, a forecast per SKU, a score per lead, not a Jupyter notebook.

Every prediction is monitored in production. Model drift detection identifies when the real world changes and the model's assumptions no longer hold. Predictions do not degrade silently. Alerts fire when model performance drops, and retraining is triggered before the business is making decisions based on outdated predictions.

All model training data, prediction outputs, and monitoring data stay in the customer's AWS account.