Why RabbitHawk
Decision science, built into the product
Researchers in probabilistic forecasting, optimization and machine learning work alongside the engineers building RabbitHawk.
- Uncertainty modelling
- Constraint optimization
- Context intelligence
- Governed evaluation
Measured client outcomes
Multinational apparel retailer
- Reduction in new inventory
- 52%Reduction in new inventoryobserved sales revenue maintained during the evaluated period
- Reduction in MASE
- 96%Reduction in MASEversus saved legacy forecasts at style × colour × store × brand
- Reduction in manual workload
- 90%Reduction in manual workloadfrom weeks to hours
- Decision cycle
- 3 wks → 1 dayDecision cyclefrom debate to coordinated action
What the product preserves
Scientific discipline in the operating workflow
Uncertainty stays explicit
Contextual beliefs, predictive distributions and information cutoffs remain visible from evidence through evaluation.
Optimization respects the operation
Recommendations account for budgets, capacity, lead times, service requirements and the costs of changing a plan.
Context becomes model input
People and connected agents contribute evidence. RabbitHawk forms a probabilistic belief before a forecasting model recomputes affected demand.
Every version can be evaluated
Reference forecasts, contextual candidates, human belief amendments and approved versions remain available when outcomes arrive.
Measured client outcomes
A multinational retailer engagement reduced a three-week planning cycle to one day, with the comparison basis retained in the case study.
Specialists stay involved
RabbitHawk combines software with forecasting, operations-research, validation and implementation expertise.
One connected method
Forecast, decide and learn without hiding uncertainty
The same governed objects connect evidence, uncertain beliefs, possible futures, decisions and outcomes.
Probabilistic forecasting
Forecast distributions remain available to the decisions that depend on them.
Contextual evidence
Human knowledge and agent-detected signals become reviewed, uncertain model inputs.
Decision optimization
Actions are evaluated against objectives, constraints and the selected forecast distribution.
Ways to engage
Ready when you are
Bring us the decision that is difficult to improve
We will identify whether the right starting point is forecasting, optimization, Forecast Interventions or specialist work.
Talk to us