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RabbitHawk

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.

  1. 01

    Context detected

    Supplier delay · promotion note · local event · manager override

  2. 02

    Forecast updated

    Full-distribution demand and revenue forecast recalculated

  3. 03

    Optimization recommended

    Replenishment · allocation · markdown · price · service-level trade-off

  4. 04

    Human approval

    Planner reviews assumptions, evidence, risk and expected impact

  5. 05

    Outcome learned

    Actual result feeds the forecast, decision rules and planning policy

Multinational retailer case study

Case-study outcomes

Read the case study
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.

  1. 01

    Data & context

    ERP · POS · WMS · planning sheets · finance systems · calendars · emails · notes.

  2. 02

    Context layer

    Structured data, unstructured signals, human assumptions and business events, captured and tested.

  3. 03

    Forecasting layer

    Hierarchical, probabilistic, reconciled and driver-aware forecasts across every level.

  4. 04

    Optimization layer

    Inventory, price, markdown, allocation, capacity and workforce, optimized under real constraints.

  5. 05

    Decision workflow

    Scenarios, recommendations, approvals, overrides and a full audit trail keep humans in control.

  6. 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

Enterprise outcomes drive decisionsStart from the outcome (margin, service level, cashflow) and let RabbitHawk compute the optimal path.

Key capabilities

  • Multi-objective trade-off modeling
  • Constraint-aware optimization (MOQs, budgets, lead times)
  • Prevents Goodhart's Law / KPI gaming

One reconciled backbone

One truth for every teamCoherent forecasts that add up across SKU, store, region and time. One truth for every team.

Key capabilities

  • Hierarchical reconciliation across every level
  • Probabilistic confidence intervals
  • Regime-shift detection and adaptation

Reads everything

The first model to read it allStructured, unstructured and contextual data (numbers, text, images and market signals) in one model.

Key capabilities

  • POS, inventory, pricing and supplier data
  • Images, reviews and social signals
  • Manager context and tacit knowledge

Uncertainty-aware

Plan for ranges, not false precisionProbabilistic forecasts with explicit confidence, so you plan for ranges, not false precision.

Key capabilities

  • Full predictive distributions, not just point estimates
  • Calibrated confidence intervals at any quantile
  • Risk-aware decision thresholds

Multi-agent & self-repairing

AI agents that collaborateSpecialised agents collaborate to detect anomalies, repair data and improve accuracy automatically.

Key capabilities

  • Autonomous drift detection
  • Self-healing data pipelines
  • Continuous model retraining

Goals without games

Aligned decisions, not gamingDecisions are judged by enterprise outcomes, not gameable departmental KPIs. No Goodhart effects.

Key capabilities

  • Joint optimization across levers
  • Cross-effect awareness (price vs labor)
  • Transparent reasoning and audit trails
RabbitHawk Labs

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 team
From the Lab

Forecast Unfiltered

Our new podcast on forecasting, optimization and decision intelligence for leaders building better planning systems, straight from the applied decision-science lab.

    Season one

  1. 01A beautiful forecast chart is not proof
  2. 02Why forecasting tools create false confidence
  3. 03Why point forecasts hide risk
  4. 04Forecasting is not enough: optimization must follow
  5. 05Hierarchy: why SKU plans do not add up to executive truth

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