Databases capture what's already happened.
Not what you see happening.
Chat to RabbitHawk. Share the context only your team has. Watch your forecast update in real time — with full transparency, evidence, and audit trail.
The forecast gap nobody talks about
Most forecasting systems work with structured data — sales history, inventory levels, scheduled deliveries. But the disruptions that derail your targets don't live in databases.
Weeks in spreadsheets
Adjusting forecasts manually after every disruption. Pivot tables, email chains, meetings to agree the new number. By the time you've finished, the situation has changed again.
Unstructured context, ignored
Supplier emails about delays. Manager notes about local events. Your intuition from 20 years of experience. None of it reaches the model.
2 years of data, 20 years of knowledge
Your forecasting model has a short memory. You don't. You know which suppliers are unreliable, which promotions actually work, which stores behave differently. That knowledge has nowhere to go.
Chat to RabbitHawk
No forms. No tickets. No waiting. Just tell RabbitHawk what's happening and your forecast updates while you're still talking.
Share context naturally
Paste a supplier email. Mention a local event. Flag a staffing change. RabbitHawk interviews you to extract the signal that matters.
Context becomes transparent priors
Your input shapes the forecast — but every assumption is visible and editable. Nothing is a black box. Disagree with the estimated impact? Adjust it.
Full audit trail, always
Every adjustment includes what changed, why it changed, what evidence supports the change, and how confident the system is. No more unexplained forecast shifts.
Contextual intelligence at scale
Watch RabbitHawk process a supplier disruption email, detect revenue at risk, then recalibrate when you add context about a local festival.
Every adjustment includes assumptions, evidence sources, and a full audit trail — so you always know why the forecast changed and can trust the recommendation.
13 shocks in 5 years. Zero gaps between them.
Australian and New Zealand importers have faced an unprecedented cascade of disruptions since 2019. Traditional forecasting saw none of them coming. Contextual intelligence sees them as they happen.
Red Sea shipping rerouted
10-14 extra days on European imports
Houthi attacks forced 70% of Suez traffic to the Cape of Good Hope. Freight costs spiked. Lead times blew out.
Shanghai lockdown
80% of vessels delayed at world's busiest port
China's zero-COVID policy shut down the Yangtze Delta. Trucking capacity dropped 45%. Importers felt the impact within weeks.
Eastern Australia floods
$5B grain harvest damage, highways severed
Multiple 1-in-1000-year flood events struck Queensland and NSW. Major freight corridors cut for months.
Suez Canal blocked
$9B in goods delayed daily for 6 days
The Ever Given grounded in the canal, creating a global container logjam that took months to clear.
Container capacity crisis
Freight rates up 700% on key routes
Containers stuck in the wrong locations globally. Larger ships, fewer port calls. ANZ deprioritised on global routes.
Port strikes across Australia
$84M per week in economic costs
DP World and Qube workers took industrial action at up to 10 ports. Every sector affected when 99% of trade moves by sea.
It's not just the big shocks
The disruptions that cost you most aren't always global crises. They're the everyday events your team knows about but your forecasting system doesn't.
A supplier running late. Roadworks near the warehouse. A local festival that changes foot traffic. These are the signals that separate a good forecast from a great one.
RabbitHawk lets you chat about any of them — and automatically translates your knowledge into model adjustments with full transparency.
Roadworks starting next week near your warehouse
Delivery windows shrink. Last-mile costs rise.
A key supplier running behind on production
Stock-outs on best-sellers in 3 weeks.
Local festival near your Byron Bay store
Foot traffic spikes 40%. Standard replenishment won't keep up.
Your buyer is on leave for two weeks
Purchase orders stall. Reorder windows missed.
A competitor opens across the street
Category share shifts overnight. Historical patterns break.
Unseasonable weather in your catchment
Seasonal stock sits. Demand shifts to unexpected categories.
From hindsight to foresight
Traditional systems tell you what happened. RabbitHawk helps you see what's about to happen — and adjust before it's too late.
Real-time recalibration
No more weeks amending spreadsheets and pivot tables. Share context, see the forecast update immediately. Safety-stock protocols initiate automatically when disruptions are detected.
Human knowledge, encoded
Your forecasting model has 2 years of data. You have 20 years of experience. RabbitHawk captures that intuition as transparent, auditable priors that improve the forecast.
Continuously learning
As real data arrives, the model refines itself. The renovation impact you estimated at -60% turns out to be -45% — next time RabbitHawk adjusts its baseline for similar events.
Context as infrastructure
Time-series models alone are not enough. RabbitHawk integrates supplier signals, shipping intelligence, economic indicators, and disruption alerts — the contextual intelligence that pure forecasting models can’t capture on their own.
Stop forecasting from the rear-view mirror
The next disruption is already forming. RabbitHawk helps you see it, quantify it, and adjust — before it hits your P&L.