The version of AI demand forecasting that works for a Whyalla business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates - usually with fewer parts than the off-the-shelf pitch.
Built and supported here - the way a Whyalla 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 Koala Dynamics
With Koala Dynamics
Where Whyalla operators actually lose hours.
- Whyalla is a steel town rebuilding around green hydrogen and renewables, and its supplier base is retendering for work it has never done before.
- Steelworks, iron ore, and a large green energy transition pipeline. Local contractors are writing proposals for new industries, which has sharply increased the documentation load.
We work with teams across Whyalla: Whyalla Norrie · Whyalla Stuart · Whyalla Playford · Whyalla Jenkins.
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How we build AI demand forecasting for a Whyalla team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Whyalla business, so value lands before the build is finished. AI sales + stock forecasting.
Talk to usThe outcome for Whyalla teams
We'd call the engagement a success when Whyalla 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.
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 Whyalla - 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 Whyalla businesses are surprised how small the first cheque is.
What's the realistic outcome for Whyalla businesses?
Stockouts down 35%, overstock down 22% in the first season. We don't promise tenfold lifts because we don't see them outside of marketing decks.
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.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
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.