Revenue Forecasting with ML

ML ensemble — not just linear regression

ETS captures seasonality. XGBoost handles non-linear patterns. Linear regression provides the baseline. The ensemble outperforms any single model by 40%. Every forecast includes MAPE tracking so you know exactly how accurate you are.

SHAP feature importance — see what drives your forecast

Every prediction comes with SHAP values showing which drivers matter most. Pipeline value, NDR expansion, ACV trend, churn rate — ranked, quantified, and visualized so your team can act on the right levers.

Bear / Base / Bull with confidence bands

80% confidence intervals rendered as gradient bands on your forecast chart. See the full range of outcomes, not just a single point estimate. Probability-weighted scenarios for board-ready presentations.

Live sensitivity sliders

Drag NDR, pipeline conversion, churn, or headcount — watch the forecast update instantly. Model the impact of any assumption change in real-time without rebuilding your model.

"The ML ensemble caught a seasonal pattern our team had been manually adjusting for 3 years. Forecast accuracy went from 85% to 97% in one quarter."