The power of alignment at scale

RabbitHawk is a decision-intelligence platform designed to solve one of the most expensive and least visible problems in large organisations: misalignment
As our world-leading forecasting & optimization team helped companies improve their buying, replenishment and allocation of stock, pricing & promotions, rostering … they kept uncovering inefficiency not caused by inaccuracy, bad data or systems.
People and AI agents were doing what they felt was right. But we found even well-run companies lose as board-level goals fracture into competing interpretations as they flow through teams, incentives, perspectives, and daily decisions. 
How aligned is your team?
Find out today with a free Stack the Deck session, or get in touch to find out more
Stack the Deck
Stack the Deck
Let’s talk
Let’s talk
What’s 10% of your company’s revenue?
The annual cost of misalignment is estimated to approximate 5-10% of a company’s gross revenue.
So how do we solve misalignment? 
We begin with our Stack the Deck session—helping leadership and teams agree on what truly matters. We then make this alignment more powerful by analysing structured data from existing systems (ERP, POS, etc) as well as unstructured data that provides real-world context (executive judgment, events, and insights from frontline staff).
The result is a single, connected view of the future that everyone works from, rather than multiple forecasts and competing ‘truths.’
Step #1: Listen to your team
Hear them today with a free Stack the Deck session, or get in touch to find out more
Stack the Deck
Stack the Deck
Let’s talk
Let’s talk
Most companies set goals—then watch their teams unintentionally work against each other.
RabbitHawk fixes that at the root.
Instead of every silo running its own 
forecasts and optimisers, RabbitHawk gives 
you one unified, multi-agent forecasting and optimisation engine.
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A single system that produces reconciled, coherent forecasts at every level—from SKU, to store, to Enterprise—and optimises with a view of the entire business as one connected organism.
The result?
You replace multiple forecasts and multiple optimisers with one living system—so the entire company finally moves in the same direction, with decisions aligned to shared goals.

No silos.
No contradictions.

One intelligence steering the business forward.

BETTER DECISIONS

BETTER BUSINESS

RabbitHawk turns static planning into a living, adaptive system: one that sees patterns humans miss, learns from the unexpected, and continuously improves.
Goal-led, not supply-led
Starts with your desired outcome and dynamically maps the optimal path to achieve it.
Unified self-learning forecasting & optimisation
Every team sees the same reality. One continuous, self-reinforcing loop that learns from results and recommends the smartest next moves.
Structured, unstructured & contextual data
The first model to combine numbers, human intuition, imagery, and signals into a single adaptive view. For the first time, companies will be able to utilise the majority of their data.
Lightweight & cloud-native
Delivers supercomputer-level forecasting through affordable API-based cloud architecture.
Multi-agent, self-repairing network
Specialised domain agents collaborate to fix data and improve accuracy.
Goals  without Games
Modular, goal-based cards that make data usable for everyone - RabbitHawk aligns decisions to outcomes eliminating KPI gaming and Goodhart drift.
RabbitHawk brings different viewpoints together, and focuses them in one direction. RabbitHawk transforms fragmented enterprise data into real-time decision intelligence.
The inflection point
Three macro shifts are redefining what’s possible.

The explosion of unstructured data

80–90% of enterprise data now lives outside structured systems—in text, imagery, conversations, and signals. The intuition of experienced retail teams lives here. Every message, sensor, and transaction adds context that old models can’t even read.

ERP modernisation

Platforms like NetSuite, Shopify, and Lightspeed have gone API-first, opening their ecosystems for external intelligence. Forecasting and optimisation can now live above legacy stacks—enriching data, not replacing systems.

AI capacity leap

Reinforcement learning and agentic AI now let systems sense goals, weigh trade-offs, and act autonomously in real time.
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The shift to adaptive intelligence
We’ve entered the era of adaptive intelligence where models don’t just forecast, they learn and decide.

RabbitHawk sits at the centre of this transformation. A goal-driven forecasting and optimisation engine that learns continuously from every signal, every outcome, every constraint.

RabbitHawk won’t just tell you what’s most likely to happen but will help you decide what should happen next.
Meet our team
Our founders bring decades of combined leadership in forecasting, optimisation, and autonomous decision systems with experience spanning Google, Walmart, Meta, and leading research centres in Australia and Europe.
Meet our team
Meet our team
For retailers and industry leaders
RabbitHawk integrates seamlessly with existing systems including NetSuite, Shopify, Lightspeed, SAP, delivering foresight and optimisation as a service, without replacing core infrastructure.

It helps teams to reduce working capital locked in inventory, improve forecast accuracy by up to 95%, cut manual workload by 90%, and align every decision to revenue, margin, or inventory goals in real time.

This is where forecasting ends — and foresight begins.
RabbitHawk solves retailer pain points
Painpoint
Heavy manual planning, relying on spreadsheets and intuition
Why it happens
Planners spend hours building spreadsheets, copying last year’s numbers, adjusting vaguely for trends. Forecast accuracy suffers.
How RabbitHawk outperforms
RabbitHawk automates the loop: ingesting source data, forecasting, optimising, learning. Planners spend time making decisions, not building spreadsheets.
Painpoint
Low forecasting accuracy, lost sales & excess inventory
Why it happens
Most retailers still rely on ‘what sold last year’ without social, trend, weather, or store-level variation context. The result is stock-outs or overstocks.
How RabbitHawk outperforms
RabbitHawk uses structured & unstructured data (like reviews, heat-maps, and social trends), one-off indicators and meta-learning ensemble models to raise accuracy and reduce inventory tie-up.
Painpoint
Low forecasting accuracy, lost sales & excess inventory
Why it happens
Most retailers still rely on ‘what sold last year’ without social, trend, weather, or store-level variation context. The result is stock-outs or overstocks.
How RabbitHawk outperforms
RabbitHawk uses structured & unstructured data (like reviews, heat-maps, and social trends), one-off indicators and meta-learning ensemble models to raise accuracy and reduce inventory tie-up.
Painpoint
Fragmented systems & unused unstructured data
Why it happens
Forecasting with multimodal unstructured data has been extremely difficult to achieve.
How RabbitHawk outperforms
RabbitHawk’s API card-based architecture connects to existing systems and ingests unstructured data without heavy system rebuilds.
Painpoint
Store-level misallocation
Why it happens
Generic central forecasting ignores local variations of size, trend, store demand. More granular forecasts tend to be inaccurate.
How RabbitHawk outperforms
RabbitHawk provides SKU × Store × Time-horizon granular forecasts, optimises transfers, replenishment, markdowns tailored to each store.
Painpoint
Seasonality & trend unpredictability
Why it happens
Planning 12–18 months ahead is tough when trend cycles shorten and external signals dominate.
How RabbitHawk outperforms
RabbitHawk dynamically ingests trend data, images, social signals, and continuously adjusts goals and forecasts; informing strategy for ‘what should sell next season.’
Painpoint
Promotions & pricing inefficiencies
Why it happens
Markdowns done late or too deep; promotions not aligned with forecasted demand; margin suffers.
How RabbitHawk outperforms
RabbitHawk’s optimisation agents run micro-simulations under margin, lead-time or MOQ constraints and recommend actionable pricing, transfer & bundle strategies in real time.
Painpoint
Slow rollout, high cost of specialist planning teams
Why it happens
Legacy F&O tools require heavy implementation, analyst teams, and lengthy deployment.
How RabbitHawk outperforms
RabbitHawk is cloud-native, light to deploy, bootstrapped model fits smaller retailers—delivering enterprise-grade capability without waiting for heavy tech projects.
The hidden cost of misalignment
Think back over your last month’s work. Not the big moments. The ordinary ones.
That meeting where everyone seemed to agree, yet the same issue resurfaced two weeks later. Routine discussions - over-stocking, over-discounting, staffing shortfalls. Decisions that technically went ahead, but never quite landed. Competent conversations where well-intentioned people were pulling in slightly different directions.
Nothing critically wrong, but nothing fully working, is called Business As Usual because most executives will say some version of the same thing: “Strategically, we’re aligned. Execution is the hard part.” It’s an honest answer and a revealing one. The inevitable death by a thousand cuts meant leaders learn to live with misalignment.
We believe misalignment is the primary source of organisational drag, that it’s about to get far worse, and that recent technology makes it possible to identify and significantly reduce.
Underestimated, under-measured, and misdiagnosed misalignment hides behind phrases like complexity, change, and the cost of doing business. The research, however, tells a different story.
Case study
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Retailer pain pointsUnified forecasting & optimizationInflection pointFoundational, everywhere
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