Method
Constraint optimization
Turn forecasts into the best feasible action under real limits.
Constraint optimization explained
What it is
Constraint optimization chooses decisions that maximize an objective while respecting hard limits like budgets, capacity, lead times, MOQs and service levels.
Why it matters
A forecast tells you what is likely; it does not tell you what to do. Optimization does, within the constraints you actually operate under.
Where planning teams fail
Teams optimize one lever locally (e.g. price) and unintentionally hurt another (e.g. labor or cashflow).
How RabbitHawk applies it
RabbitHawk optimizes across inventory, price, markdown, allocation, capacity and workforce together, with transparent trade-offs.
Related methods
Keep exploring
- probabilistic forecasting
Probabilistic forecasting
Forecast ranges and likelihoods, not a misleading point forecast.
- 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.
Apply this to your data
See how RabbitHawk would use this method to improve your decisions.
Talk to our team