Most of our Mackay engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI demand forecasting is then designed against the detail, not the shape.
AI sales + stock forecasting, built for businesses operating in Mackay.
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 Koala Dynamics
With Koala Dynamics
The Mackay context, plainly.
- Mackay services the Bowen Basin coal mines and a large sugar industry, so its engineering firms live and die on procurement cycles.
- Mining services, heavy engineering, sugar milling and the port. Mining clients bring long tender documents and strict compliance, which is where most of the local admin burden actually sits.
We work with teams across Mackay: Mackay CBD · Paget · North Mackay · Andergrove · Sarina.
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How we build AI demand forecasting for a Mackay team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Mackay business, so value lands before the build is finished. AI sales + stock forecasting.
Talk to usThe outcome for Mackay teams
The shape of the result for Mackay teams: Stockouts down 35%, overstock down 22% in the first season. Built on Prophet, hardened with the rest of the stack as it scales.
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.
FAQ
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 Mackay - so the savings start landing before the rest of the build is finished.
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 Mackay businesses are surprised how small the first cheque is.
Has this actually shipped for a real Mackay?
Yes. Stockouts down 35%, overstock down 22% in the first season. We'll share comparable engagements on the call.
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.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
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.