Southland · Applied AI

For Invercargill operators who want a working pilot in weeks, not a year-long programme.

Most of our Invercargill 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

Southland

What's different about doing this work in Invercargill.

  • Southland businesses are stoic, practical, and patient – AI gets traction when it shows up working, not promised.
  • Dairy, aquaculture, manufacturing, and a tight services market. AI in Southland needs to install once and run quietly for years.

We work with teams across Invercargill: CBD · Hawthorndale · Waikiwi · Bluff · Gore · Riverton.

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How we build AI demand forecasting for a Invercargill team.

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

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The outcome for Invercargill teams

The shape of the result for Invercargill teams: Stockouts down 35%, overstock down 22% in the first season. Built on Prophet, hardened with the rest of the stack as it scales.

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 Invercargill – so the savings start landing before the rest of the build is finished.

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.

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.

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