New South Wales · Applied AI
AI demand forecasting in Wollongong
Built and supported here – the way a Wollongong 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.
We've worked with enough operators in Wollongong 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.
- 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
Why Wollongong businesses choose this
Wollongong runs on steel, education and a growing tech and services sector an hour south of Sydney – AI here competes for attention against Sydney rates on a regional budget.
The Wollongong context, plainly.
The Port Kembla steelworks, a major university, and a growing number of Sydney-priced professional services firms relocating for cheaper rent. Wollongong teams want AI that punches above a regional budget.
We work with teams across Wollongong: Wollongong CBD · Port Kembla · Shellharbour · Dapto · Fairy Meadow · Corrimal.
How we build AI demand forecasting for a Wollongong team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Wollongong business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
AI sales + stock forecasting.
The outcome for Wollongong teams
What changes for Wollongong 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.
Stockouts down 35%, overstock down 22% in the first season.
AI demand forecasting in Wollongong – common questions
What's a typical engagement length for Wollongong businesses?
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
Do you do hourly billing or fixed price?
Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
Has this actually shipped for a real Wollongong?
Yes. Stockouts down 35%, overstock down 22% in the first season. We'll share comparable engagements on the call.
Can you work with our existing systems?
Yes. The default AI demand forecasting stack we reach for is Prophet, DuckDB, Claude, BigQuery, Vercel, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
Ready to talk specifics?
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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.