AI demand forecasting in Ashburton.

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

Mid Canterbury moved from sheep and grain to dairy, dairy support and seed crops. The paperwork grew with it, and that is the part we automate.

Made for New Zealand paperwork.

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
  • Xero, founded in New Zealand

On the tools or running at scale, the admin still eats the week :)

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.

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

Ashburton, up close.

Agriculture and its support industries drive the district, and reliable irrigation has moved land from sheep and grain towards dairy, dairy support and high value crops such as seed.

The Rangitata Diversion Race carries water for stock, irrigation and hydro generation across the plains. Most New Zealand dairy herds calve in spring, July to September.

Already buried in admin? We'll sort the first workflow for you :)

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

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

Built differently, on purpose.

We say when AI is not the answer

Production first, demo second

You keep the hours, the data and the system

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

One workflow.
In production.
In weeks.

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 AI theatre
  • No annual contracts

Good questions, answered

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.

Anyone else in this space using AI demand forecasting?

Plenty. Stockouts down 35%, overstock down 22% in the first season. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.

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.

What does the Privacy Commissioner expect before we use AI?

Senior leadership sign-off, a check that the tool is necessary and proportionate, and a privacy impact assessment before it goes live.

What does the Privacy Act 2020 mean for AI?

The same rules apply as for any system holding personal information. A breach that could cause serious harm must be reported to the Privacy Commissioner, who expects it within 72 hours.

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