AI demand forecasting in Whangārei.

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

The deep-water port up northAI sales + stock forecastingBuilt in New ZealandProduction AI, not slidewareWorking across NorthlandThe deep-water port up northAI sales + stock forecastingBuilt in New ZealandProduction AI, not slidewareWorking across NorthlandThe deep-water port up northAI sales + stock forecastingBuilt in New ZealandProduction AI, not slidewareWorking across NorthlandThe deep-water port up northAI sales + stock forecastingBuilt in New ZealandProduction AI, not slidewareWorking across Northland

Whangārei moves timber out and fuel in through Marsden Point. We automate the dispatch records, contractor paperwork and invoicing for the firms that keep it running.

Talk to us about Whangārei

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 the work runs

We find the one workflow costing Whangārei businesses the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.

To start, tell us about your week

Not your typical AI agency.

Straight answers, even when the answer is no

One workflow live in weeks, not a programme

Measured in hours back, not slides

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

What Whangārei runs on.

Northport at Marsden Point is New Zealand's northernmost deep-water port and mostly exports logs, woodchip and timber, while Channel Infrastructure's Marsden Point terminal imports fuel for Auckland and Northland.

Auckland and Northland make up about 40 per cent of New Zealand's fuel demand, supplied through the Marsden Point terminal.

Talk to us about Whangārei

Knows the New Zealand rules.

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
Serious breaches get reported

Small team.
Real systems.
Zero fluff.

What you get

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

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

Straight answers

Do you have proof this works for Whangārei businesses?

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

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 Whangārei - so the savings start landing before the rest of the build is finished.

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.

Can AI help with payday filing?

It can prepare it. Employers file employment information every payday, within 2 working days when filing electronically, and automation can have it ready for a person to check.

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.

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