A predictive model analyses your company’s historical data to identify patterns and generate forecasts on future events: sales, demand, churn, failures, fraud.
The models we build use algorithms like XGBoost, Random Forest and neural networks, trained on your real data with rigorous validation. Every prediction comes with a confidence measure and the features that drove it.
Weekly or monthly sales forecasts based on time series, seasonality, promotions and external events. Stock optimisation, waste reduction, production planning.
IoT sensor data + ML to predict failures before they happen. The model learns degradation patterns and signals when to intervene. Up to 80% reduction in unplanned downtime.
Prova dal vivo F1 Strategy Predictor: apri la demo e testa il servizio con dati reali.
Prova la demo →Tell us about your case. In 30 minutes we analyse your context and tell you what’s feasible.
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