Most of our Pukekohe engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI demand forecasting is then designed against the detail, not the shape.
Auckland · Applied AI
Built and supported here – the way a Pukekohe business would actually use it.
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
Auckland
What's different about doing this work in Pukekohe.
- Franklin and South Auckland's growth corridor – horticulture, food processing, and trades supporting a constant build boom.
- Vegetable growing, food processing, and a rapidly expanding residential market. AI tools that respect long days and small teams win.
We work with teams across Pukekohe: Pukekohe · Waiuku · Tuakau · Bombay · Patumāhoe.
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How we build AI demand forecasting for a Pukekohe team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Pukekohe business, so value lands before the build is finished. AI sales + stock forecasting.
Talk to usThe outcome for Pukekohe teams
What changes for Pukekohe 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 long does AI demand forecasting take to ship for Pukekohe businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real Pukekohe businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.
How do you price AI demand forecasting engagements?
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Pukekohe businesses are surprised how small the first cheque is.
What's the realistic outcome for Pukekohe businesses?
Stockouts down 35%, overstock down 22% in the first season. We don't promise tenfold lifts because we don't see them outside of marketing decks.
Who owns the code and the model setup?
You do, on delivery. We deploy AI demand forecasting into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Prophet sits in your account too – we don't operate it from ours.
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.