Evidence01
Bring together what the business knows
Operational data
Sales, inventory, calendars
Human knowledge
Store, customer, supplier
Agent-detected evidence
Approved email, documents, news and feeds
Forecast what is likely.Bring in new evidence.Optimize what to do.
Choose where RabbitHawk starts.
01Keep your forecasting systemForecast InterventionsAssess new evidence and selectively reforecast the affected scope.Explore productExplore Forecast Interventions02Forecast or optimize with RabbitHawkForecasting & OptimizationDeploy a forecast, specialist optimizer or connected decision loop.Explore productExplore Forecasting & OptimizationHow RabbitHawk works
From new evidence to forecast, decision and learning.
Operational data, people and approved sources contribute evidence. RabbitHawk assesses whether it changes the model's view of demand, another planning object or nothing at all.
Context Intelligence02
Interpret before changing a number
Resolve source, scope and timing
Ask only what could change the belief
Route the evidence to the right object
Demand evidenceTargetConstraintScenarioNo forecast change
Models compute03
Represent uncertainty, then evaluate feasible actions
Forecast under uncertainty
A reviewed contextual belief conditions the affected-scope reforecast
Optimize under conditions
Goals, constraints, cost and risk
Govern04
Review consequences before acting
Evidence and assumptions
Forecast and decision consequences
Publish, monitor or preserve
Versioned forecast and decision lineage
Outcome and learning
Outcomes inform the next review
Observed outcome
Actuals, availability and service
Reviewed learning proposal
Forecast, confidence and decision performance
Reviewed evidence informs the next contextual assessment.
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
Scientific foundation
Built by researchers who shaped the methods
- indexed research outputs
- 1,181indexed research outputs
- combined citations
- 53,485combined citations
- Clarivate Highly Cited Papers in forecasting
- Top 1%Clarivate Highly Cited Papers in forecasting
Dr Christoph Bergmeir
Forecasting & AI systems
13,200+ citations across forecasting & ML research
Dr Peter Stuckey
Constraint programming & optimization
23,000+ citations, h-index 71
Dr Wray Buntine
Machine learning & generative AI
Top 0.75% most-cited AI researchers globally
Forecasting & Optimization
Forecast what is likely. Optimize what to do.
Example walkthrough: capture goals, forecast under uncertainty, and choose the next move.
Forecast Interventions
Replace competing overrides with evidence the model can use.
Store, regional and central teams often change the same forecast in sequence. RabbitHawk keeps each contribution, forms a reviewed contextual belief and selectively reforecasts the affected scope.
Explore Forecast InterventionsModelled planning walkthrough
Specialist services
Specialist help for difficult decision problems.
Design, validation and implementation across forecasting and optimization.
Discuss the decision problem you need to improve.
Bring the decision, constraints and current workflow.
Talk to RabbitHawk