Gladstone businesses don't need another generic AI pitch. AI demand forecasting only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Queensland.
AI demand forecasting designed around the way a Gladstone team actually runs.
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
What we keep seeing in Gladstone.
- Gladstone is heavy industry - LNG, alumina and one of the biggest ports in the country, which sets an industrial compliance bar every supplier has to clear.
- LNG trains, alumina refining, a major bulk port and a large industrial contracting sector. Safety documentation and supplier prequalification are the single largest admin load for local businesses.
We work with teams across Gladstone: Gladstone CBD · Calliope · Boyne Island · Tannum Sands · Clinton.
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How we build AI demand forecasting for a Gladstone team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Gladstone business, so value lands before the build is finished. AI sales + stock forecasting.
Talk to usThe outcome for Gladstone teams
What changes for Gladstone teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. 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
How fast could we have AI demand forecasting in production?
Eight to ten weeks for most Gladstone businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What does AI demand forecasting cost for a Gladstone?
Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.
What's the realistic outcome for Gladstone 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.
What if our Gladstone doesn't have any data ready?
Most don't. Getting the data into shape - ingestion, cleaning, the lightweight contracts you need before any model is useful - is part of the engagement. For AI demand forecasting specifically, we typically run that work on Prophet, DuckDB, Claude, BigQuery, Vercel and assume messy starting conditions from day one.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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.