AI demand forecasting in Cromwell.
AI sales + stock forecasting - wired into a Cromwell workflow, not bolted on the side.
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.*
*Illustrative, based on 9 hours a week of admin at a typical 80% automation rate. The calculator uses your own numbers.
Nearly half of New Zealand's export cherries come from the Cromwell Basin. When picking starts, AI keeps orders, staff and export paperwork moving.
What AI demand forecasting actually does
Forecasts that account for school holidays, NZ weather, tourist seasons, and your own promo calendar. With the right workflow automated, nine hours of admin a week could drop to about one.*
*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.
Small crew or big organisation, the busywork is the same :)
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.
Business in Cromwell.
Horticulture is a mainstay of Central Otago, and nearly half of New Zealand's export cherries are grown in the Cromwell Basin.
Central Otago is the most southerly wine region, and most of its plantings are Pinot Noir.
Small team.
Real systems.
Zero fluff.
What you get
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 shelfware or licences you do not use
Not your typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions Cromwell businesses ask
Is AI demand forecasting worth it for a smaller Cromwell?
Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
What happens if we want to swap a vendor out later?
AI demand forecasting is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Prophet, DuckDB, Claude, BigQuery, Vercel are our defaults, but the build is intentionally portable.
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.
Can it remind us about the annual return?
Yes. Every company must file an annual return with the Companies Office each year, separate from its tax return.
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.
Let's chat
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