AI demand forecasting in Taupō.

AI demand forecasting designed around the way a Taupō team actually runs.

Lake, geothermal and a visitor economyAI sales + stock forecastingBuilt in New ZealandProduction AI, not slidewareWorking across WaikatoLake, geothermal and a visitor economyAI sales + stock forecastingBuilt in New ZealandProduction AI, not slidewareWorking across WaikatoLake, geothermal and a visitor economyAI sales + stock forecastingBuilt in New ZealandProduction AI, not slidewareWorking across WaikatoLake, geothermal and a visitor economyAI sales + stock forecastingBuilt in New ZealandProduction AI, not slidewareWorking across Waikato

Taupō businesses serve visitors all year, from lake cruises to forest trails. We automate bookings, reviews and staff scheduling so owners are not answering enquiries at midnight.

Talk to us about Taupō

What Taupō runs on.

Taupō is a visitor region built around Lake Taupō, the largest freshwater lake in Australasia, with geothermal power stations generating electricity across the area.

Lake Taupō is the largest freshwater lake in Australasia.

Talk to us about Taupō

Built around how New Zealand works.

Demand and cash flow forecasts from your own history, including the harvest, school holiday and public holiday swings your business actually has.

11 public holidays, plus yours
Four school terms a year
KiwiSaver now 3.5 per cent

Less admin.
More weekend.
No theatre.

What AI demand forecasting covers

Stockouts down 35%, overstock down 22% in the first season.

Combines your sales history with weather, calendar, and event data
Per-SKU and per-store forecasts, not whole-business averages
Re-forecasts weekly as new data comes in
Explains the why behind every number
No annual contracts
No AI theatre

An AI agency, minus the theatre.

We say when AI is not the answer

Production first, demo second

You keep the hours, the data and the system

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

From one-person trades to national organisations, we find the hours :)

The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.

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*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.

How much is the admin really costing you?

Nine hours a week of admin is 468 hours a year. That could drop to about 52.*

With us

52 hrs

Without

468 hrs

Try the calculator

*Illustrative, based on 9 hours a week of admin at a typical 80% automation rate. The calculator uses your own numbers.

Good questions, answered

How quickly can we see something running?

Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".

Do you have proof this works for Taupō businesses?

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

What tools do you build AI demand forecasting on?

For AI demand forecasting we usually reach for Prophet, DuckDB, Claude, BigQuery, Vercel. We're tool-agnostic at heart - we pick what your Taupō team can actually run after we hand the build over, not what looks good on a vendor sticker.

Does it keep up with KiwiSaver changes?

It has to. The minimum employer contribution rose to 3.5 per cent on 1 April 2026 and rises to 4 per cent on 1 April 2028.

Is our data kept in New Zealand?

Kiwi Dynamics hosts its own infrastructure in New Zealand, under New Zealand governance. If personal information ever has to go offshore, privacy principle 12 requires comparable protection.

Talk to us about AI demand forecasting

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