Kiwi Dynamics

West Coast · Applied AI

Built and supported here – the way a Greymouth business would actually use it.

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Most of our Greymouth 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

West Coast

Where Greymouth operators actually lose hours.

  • The West Coast runs on mining, dairy, fishing, and tourism – AI here is about working efficiently across long, lonely distances.
  • Resource industries, hospitality serving tourism flows, and the trades that keep it all running. Tools that work offline matter.

We work with teams across Greymouth: Greymouth · Hokitika · Westport · Reefton · Punakaiki.

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How we build AI demand forecasting for a Greymouth team.

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

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The outcome for Greymouth teams

We'd call the engagement a success when Greymouth 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

When does AI demand forecasting actually pay back?

Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Greymouth – so the savings start landing before the rest of the build is finished.

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 Greymouth businesses are surprised how small the first cheque is.

Do you have proof this works for Greymouth businesses?

Direct case study: Stockouts down 35%, overstock down 22% in the first season. Happy to walk you through full numbers on a call.

Will this run on our own infrastructure?

Yes, where it makes sense. AI demand forecasting can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Prophet, DuckDB, Claude, BigQuery, Vercel but the architecture supports your existing platform choices.

Worth a conversation?

Even if you don't end up working with us, you'll leave the call knowing what's worth building.

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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.