Method
Probabilistic forecasting
Forecast ranges and likelihoods, not a misleading point forecast.
Probabilistic forecasting explained
What it is
Probabilistic forecasting predicts a full distribution of outcomes, available at any quantile or prediction interval, instead of one point estimate, so decisions can account for risk.
Why it matters
A point forecast hides uncertainty. Knowing the range lets teams set safety stock, budgets and service levels deliberately rather than betting on one point estimate.
Where planning teams fail
Teams plan against the mean, get surprised by the tails, and over- or under-invest because the forecast never told them how uncertain it was.
How RabbitHawk applies it
RabbitHawk produces calibrated probabilistic forecasts across demand, revenue and transactions, and carries the uncertainty through to optimization and the planner workspace.
Related methods
Keep exploring
- hierarchical reconciliation
Hierarchical reconciliation
Make local plans add up to executive truth across every level.
- forecast bias diagnostics
Forecast bias diagnostics
Find the systematic errors quietly distorting your plans.
- context aware forecasting
Context-aware forecasting
Bring the signals your team knows about into the forecast.
Apply this to your data
See how RabbitHawk would use this method to improve your decisions.
Scope a forecasting diagnostic