Masterton 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 Wairarapa.
Wairarapa · Applied AI
AI demand forecasting that lives in your stack, not on a vendor's roadmap. Shipped from Wairarapa.
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
Wairarapa
What Masterton teams tell us when they get on a call.
- Wairarapa runs on agriculture, wine, and a thriving lifestyle-block community – AI here lets small operators run on bigger leverage.
- Sheep and beef, viticulture, and a tourism flow from Wellington commuters. AI tools that respect rural broadband budgets land best.
We work with teams across Masterton: Masterton CBD · Carterton · Greytown · Featherston · Martinborough.
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How we build AI demand forecasting for a Masterton team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Masterton business, so value lands before the build is finished. AI sales + stock forecasting.
Talk to usThe outcome for Masterton teams
Stockouts down 35%, overstock down 22% in the first season. For Masterton 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
How fast could we have AI demand forecasting in production?
Eight to ten weeks for most Masterton businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for Masterton 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.
Has this actually shipped for a real Masterton?
Yes. Stockouts down 35%, overstock down 22% in the first season. We'll share comparable engagements on the call.
What if our Masterton doesn't have any data ready?
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI demand forecasting specifically, we typically run that work on Prophet, DuckDB, Claude, BigQuery, Vercel and assume messy starting conditions from day one.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
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.