The reason we take on work in Nelson is that the businesses here tend to be sharper about what they want than the brief lets on. AI demand forecasting for a Nelson team almost always ends up looking different to AI demand forecasting for a downtown Auckland one.
Nelson-Tasman · Applied AI
AI demand forecasting designed around the way a Nelson 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
Nelson-Tasman
The pattern across Nelson engagements we've shipped.
- Nelson is creative, outdoorsy, and full of clever small businesses – AI here is about giving owner-operators their evenings back.
- Aquaculture, hops, tourism, and a deep creative sector. Nelson teams want tools that fit a smaller crew without enterprise overhead.
We work with teams across Nelson: CBD · Stoke · Tahunanui · Richmond · Motueka · Brightwater.
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How we build AI demand forecasting for a Nelson team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Nelson business, so value lands before the build is finished. AI sales + stock forecasting.
Talk to usThe outcome for Nelson teams
Stockouts down 35%, overstock down 22% in the first season. For Nelson 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.
Questions
FAQ
What's the realistic timeline for AI demand forecasting with a Nelson?
Most Nelson businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational – your team gets to use the thing well before the engagement is "done".
What does AI demand forecasting cost for a Nelson?
Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.
Can you walk us through a comparable build?
Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Stockouts down 35%, overstock down 22% in the first season.
What happens if we want to swap a vendor out later?
AI demand forecasting is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Prophet, DuckDB, Claude, BigQuery, Vercel are our defaults, but the build is intentionally portable.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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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.