We've worked with enough operators in Kerikeri to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI demand forecasting project is sit with your team for a day before we propose anything.
Northland · Applied AI
Built and supported here – the way a Kerikeri business would actually use it.
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
Without Kiwi Dynamics
With Kiwi Dynamics
Northland
Why Kerikeri businesses are a fit for this.
- Kerikeri is horticulture, tourism, and a fast-growing lifestyle community – AI here is about connecting orchard, paddock, and storefront.
- Kiwifruit, citrus, and a steady hospitality scene serving the Bay of Islands. AI tools that work in low-signal areas land best.
We work with teams across Kerikeri: Kerikeri central · Waipapa · Kaitāia · Russell · Paihia · Mangonui.
Talk to us about this →
How we build AI demand forecasting for a Kerikeri team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Kerikeri business, so value lands before the build is finished. AI sales + stock forecasting.
Talk to usThe outcome for Kerikeri teams
We'd call the engagement a success when Kerikeri teams are using the system without thinking about us. Stockouts down 35%, overstock down 22% in the first season.
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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions
FAQ
How long does AI demand forecasting take to ship for Kerikeri businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real Kerikeri businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.
How do you price AI demand forecasting engagements?
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Kerikeri businesses are surprised how small the first cheque is.
Do you have proof this works for Kerikeri businesses?
Direct case study: Stockouts down 35%, overstock down 22% in the first season. Happy to walk you through full numbers on a call.
Who owns the code and the model setup?
You do, on delivery. We deploy AI demand forecasting into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Prophet sits in your account too – we don't operate it from ours.
Worth a conversation?
Even if you don't end up working with us, you'll leave the call knowing what's worth building.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.