The reason we take on work in Burnie is that the businesses here tend to be sharper about what they want than the brief lets on. AI demand forecasting for a Burnie team almost always ends up looking different to AI demand forecasting for a downtown Auckland one.
AI demand forecasting designed around the way a Burnie team actually runs.
What AI demand forecasting actually does
Forecasts that account for school holidays, NZ weather, tourist seasons, and your own promo calendar. Order the right stock, roster the right hours, plan the next quarter with actual numbers.
- 01 Combines your sales history with weather, calendar, and event data
- 02 Per-SKU and per-store forecasts, not whole-business averages
- 03 Re-forecasts weekly as new data comes in
- 04 Explains the why behind every number
Built on: Prophet DuckDB Claude BigQuery Vercel
Without Koala Dynamics
With Koala Dynamics
Our field notes from Burnie builds.
- Burnie is a port and industrial town on the north west coast, running on forestry, mining services and manufacturing.
- Bulk port operations, forestry, mineral processing and advanced manufacturing. Industrial clients bring safety and quality documentation that small suppliers struggle to keep up with.
We work with teams across Burnie: Burnie CBD · Somerset · Wynyard · Upper Burnie · Penguin.
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How we build AI demand forecasting for a Burnie team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Burnie business, so value lands before the build is finished. AI sales + stock forecasting.
Talk to usThe outcome for Burnie teams
Stockouts down 35%, overstock down 22% in the first season. For Burnie teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
Is AI demand forecasting worth it for a smaller Burnie?
Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
Has this actually shipped for a real Burnie?
Yes. Stockouts down 35%, overstock down 22% in the first season. We'll share comparable engagements on the call.
What tools do you build AI demand forecasting on?
For AI demand forecasting we usually reach for Prophet, DuckDB, Claude, BigQuery, Vercel. We're tool-agnostic at heart - we pick what your Burnie team can actually run after we hand the build over, not what looks good on a vendor sticker.
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.