Auckland · Applied AI

AI sales + stock forecasting, built for businesses operating in Waiheke Island.

Most of our Waiheke Island 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.

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

Auckland

The Waiheke Island context, plainly.

  • Waiheke is wine, hospitality, and high-touch tourism – AI here handles the spike when the ferry lands.
  • Cellar doors, restaurants, accommodation, and the trades that maintain it all. AI tools that handle bookings and reviews quietly are gold.

We work with teams across Waiheke Island: Oneroa · Onetangi · Palm Beach · Surfdale · Ostend.

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How we build AI demand forecasting for a Waiheke Island team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Waiheke Island business, so value lands before the build is finished. AI sales + stock forecasting.

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The outcome for Waiheke Island teams

We'd call the engagement a success when Waiheke Island teams are using the system without thinking about us. 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

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

Questions

FAQ

What's a typical engagement length for Waiheke Island businesses?

Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.

Do you do hourly billing or fixed price?

Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

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.

Can you work with our existing systems?

Yes. The default AI demand forecasting stack we reach for is Prophet, DuckDB, Claude, BigQuery, Vercel, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.

The honest version of a sales call.

No deck. No discovery doc. Just whether this is worth building and what it would cost.

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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.