Enterprise decision intelligence
Forecast uncertainty. Optimize the next move.
RabbitHawk helps planning, supply-chain, finance and operations teams turn live business context into reconciled forecasts, constraint-aware recommendations and decisions humans can trust.
Domain-agnostic decision intelligence. Built by an applied decision-science team.
- 01
Context detected
Supplier delay · promotion note · local event · manager override
- 02
Forecast updated
Full-distribution demand and revenue forecast recalculated
- 03
Optimization recommended
Replenishment · allocation · markdown · price · service-level trade-off
- 04
Human approval
Planner reviews assumptions, evidence, risk and expected impact
- 05
Outcome learned
Actual result feeds the forecast, decision rules and planning policy
Multinational retailer case study
Case-study outcomes
- Reduction in new inventory
- 52%Reduction in new inventorywith no loss of sales revenue
- Forecast accuracy improvement
- 96%Forecast accuracy improvementvs legacy forecasting
- Reduction in manual workload
- 90%Reduction in manual workloadfrom weeks to hours
- Decision cycle
- 3 wks → 1 dayDecision cyclefrom debate to coordinated action
Results from a multinational retailer case study. Outcomes vary by data, workflow and operating context.
The planning problem
Many tools. Many truths. One planning problem.
Every function sees a different version of the future, and none of them is the decision.
RabbitHawk connects those layers into one governed decision workflow, so the organization acts on a single, reconciled truth.
- Forecastingsees one number.
- Financeplans around another.
- Supply chainsees constraints.
- Merchandisingknows the commercial context.
- Executivesneed a decision.
Decision architecture
From data and context to governed decisions
RabbitHawk is enterprise infrastructure, not a dashboard. Six layers turn messy inputs into decisions teams can trust, and every decision teaches the system.
- 01
Data & context
ERP · POS · WMS · planning sheets · finance systems · calendars · emails · notes.
- 02
Context layer
Structured data, unstructured signals, human assumptions and business events, captured and tested.
- 03
Forecasting layer
Hierarchical, probabilistic, reconciled and driver-aware forecasts across every level.
- 04
Optimization layer
Inventory, price, markdown, allocation, capacity and workforce, optimized under real constraints.
- 05
Decision workflow
Scenarios, recommendations, approvals, overrides and a full audit trail keep humans in control.
- 06
Learning layer
Actuals, forecast error and decision outcomes feed back to improve the next decision.
Contextual intelligence at scale
Watch a forecast react to the real world
Paste a supplier email, a local event, a manager’s note. RabbitHawk extracts the signal, quantifies the impact, and revises the forecast. Actuals stay fixed; only the forecast moves.
Built different, by design
An integrated decision-intelligence engine
Six design choices that address the root causes of planning dysfunction, not just the symptoms.
Goal-led, not supply-led
Key capabilities
- Multi-objective trade-off modeling
- Constraint-aware optimization (MOQs, budgets, lead times)
- Prevents Goodhart's Law / KPI gaming
One reconciled backbone
Key capabilities
- Hierarchical reconciliation across every level
- Probabilistic confidence intervals
- Regime-shift detection and adaptation
Reads everything
Key capabilities
- POS, inventory, pricing and supplier data
- Images, reviews and social signals
- Manager context and tacit knowledge
Uncertainty-aware
Key capabilities
- Full predictive distributions, not just point estimates
- Calibrated confidence intervals at any quantile
- Risk-aware decision thresholds
Multi-agent & self-repairing
Key capabilities
- Autonomous drift detection
- Self-healing data pipelines
- Continuous model retraining
Goals without games
Key capabilities
- Joint optimization across levers
- Cross-effect awareness (price vs labor)
- Transparent reasoning and audit trails
An applied decision-science lab behind the platform
Research-backed, not research-trapped: every method is judged by whether it improves decisions under real-world constraints, spanning forecasting, optimization, agentic AI and alignment science.
Explore the Labs- publications across the team and research network
- 1,100+publications across the team and research network
- citations
- 50,000+citations
- highly cited research
- Top 1%highly cited research
The team
A team built for hard decision problems
Turning uncertain forecasts, messy context and operational constraints into trustworthy decisions takes forecasting science, optimization, applied AI, product engineering and enterprise delivery in one team.
Meet the teamWays to engage
Pick the path that fits where you are
One system, three products
RabbitHawk is the engine. The ecosystem makes it stick.
90North helps teams decide what matters. RabbitHawk computes the path, forecasting and optimizing every decision. The Chronicle keeps the progress visible. One identity, one backbone, one loop.
Forecast Unfiltered
Our new podcast on forecasting, optimization and decision intelligence for leaders building better planning systems, straight from the applied decision-science lab.
- 01A beautiful forecast chart is not proof
- 02Why forecasting tools create false confidence
- 03Why point forecasts hide risk
- 04Forecasting is not enough: optimization must follow
- 05Hierarchy: why SKU plans do not add up to executive truth
Season one
Ready to evaluate enterprise decision intelligence?
Tell us about your planning environment and the decisions you need to improve. We’ll walk you through how RabbitHawk forecasts, optimizes and governs them.
Request a decision-intelligence briefing




