Most of our Dubbo 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.
Built and supported here - the way a Dubbo 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
The Dubbo context, plainly.
- Dubbo is the service hub for the Orana - agriculture, transport, health and government all radiate out of it across an enormous catchment.
- A logistics and agricultural service centre covering western NSW, plus a base hospital and a large tourism draw. Businesses serve customers hundreds of kilometres out, so remote quoting and scheduling carry disproportionate weight.
We work with teams across Dubbo: Dubbo CBD · Delroy · West Dubbo · South Dubbo · Wellington.
Talk to us about this →How we build AI demand forecasting for a Dubbo team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Dubbo business, so value lands before the build is finished. AI sales + stock forecasting.
Talk to usThe outcome for Dubbo teams
The shape of the result for Dubbo 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
What's a typical engagement length for Dubbo 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.
Do you have proof this works for Dubbo businesses?
Direct case study: Stockouts down 35%, overstock down 22% in the first season. Happy to walk you through full numbers on a 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.
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.