Why RabbitHawk
Built like a lab, judged on decisions
RabbitHawk is an enterprise decision-intelligence company built like an applied decision-science lab. Here is why serious planning, supply-chain and operations teams take us seriously.
- Enterprise category clarity
- Proven enterprise outcomes
- Scientific lab credibility
- Serious team and research depth
- Agentic decision workflows
- Consulting and bespoke problem-solving
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.
What enterprise buyers conclude
Six reasons we earn the conversation
We understand planning complexity deeply
We start from the hardest planning problems (volatile demand, sparse histories, promotions, markdowns, hierarchy, margin and working-capital pressure), not from a generic model library.
Real scientific depth
Behind the platform is an applied decision-science lab whose research is recognized at the field’s leading venues and used at scale by major organizations.
A measured enterprise result
A multinational retailer engagement compressed planning from three weeks to one day, with measured, attributed outcomes.
Product, services and bespoke problem-solving
We can sell software, consulting and frontier R&D, and recommend honestly between them based on your decision problem.
Agentic where it helps, governed where it matters
RabbitHawk senses context and recommends action, but humans approve high-impact decisions and every change is auditable.
Not a generic AI SaaS vendor
We are a small, elite team building enterprise forecasting and optimization systems, judged by decision quality rather than demos.
World-firsts
Built on approaches no one else has put together
RabbitHawk is the first system to bring these three ideas into a single decision loop.
Conjoined forecasting and optimization
Forecasting and optimization usually live in separate tools. RabbitHawk fuses them into one backbone, so every recommendation is optimized against forecasts that already account for uncertainty.
Forecasting from contextual, unstructured data
Beyond transactions and time series, RabbitHawk reads the context your systems miss, turning unstructured signals into measurable inputs for every forecast.
The Shale Alignment Score
A first-of-its-kind measure of how aligned a team really is on goals and priorities, turning alignment from a gut feel into a number the engine can optimize toward.
of teams report being misaligned on priorities, the kind of hidden gap the Shale Alignment Score makes visible and measurable.
Ways to engage
Ready when you are
See it against your own planning problem
Tell us where planning hurts today and we’ll show you, concretely, how RabbitHawk would approach it.
Request a decision-intelligence briefing