Tauranga businesses don't need another generic AI pitch. AI demand forecasting only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Bay of Plenty.
Bay of Plenty · Applied AI
AI demand forecasting designed around the way a Tauranga 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 Kiwi Dynamics
With Kiwi Dynamics
Bay of Plenty
Our field notes from Tauranga builds.
- Tauranga is one of NZ's fastest-growing cities – and with growth comes admin. AI here clears the backlog so teams can keep up.
- Horticulture, marine, logistics through the Port of Tauranga, and a booming services scene. Local businesses want AI that scales with seasonal swing.
We work with teams across Tauranga: Mount Maunganui · Papamoa · Bethlehem · Greerton · Tauriko · Te Puke · Katikati.
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How we build AI demand forecasting for a Tauranga team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Tauranga business, so value lands before the build is finished. AI sales + stock forecasting.
Talk to usThe outcome for Tauranga teams
What changes for Tauranga teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Stockouts down 35%, overstock down 22% in the first season.
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.
Questions
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".
What's the smallest engagement you'd take on?
A two-week paid discovery for Tauranga businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Anyone else in this space using AI demand forecasting?
Plenty. Stockouts down 35%, overstock down 22% in the first season. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope 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 Tauranga team can actually run after we hand the build over, not what looks good on a vendor sticker.
One reply, one direction.
We don't run sequences or follow-up automation. One useful answer, one decision on your side.
Get in touch
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.