Broken Hill sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers - none of those are details our default AI demand forecasting template would catch.
AI demand forecasting designed around the way a Broken Hill 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 Broken Hill teams tell us when they get on a call.
- Broken Hill is a mining city in the far west, remote enough that anything reducing a physical trip pays for itself quickly.
- Mining, mining services and a growing arts and film tourism draw, hundreds of kilometres from any other centre. Remote support, remote quoting and remote diagnostics matter more here than almost anywhere in the country.
We work with teams across Broken Hill: Broken Hill CBD · South Broken Hill · North Broken Hill · Railway Town.
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How we build AI demand forecasting for a Broken Hill team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Broken Hill business, so value lands before the build is finished. AI sales + stock forecasting.
Talk to usThe outcome for Broken Hill teams
What changes for Broken Hill 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 quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
Is AI demand forecasting worth it for a smaller Broken Hill?
Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
Can you walk us through a comparable build?
Yes - on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Stockouts down 35%, overstock down 22% in the first season.
What tools do you build AI demand forecasting on?
For AI demand forecasting we usually reach for Prophet, DuckDB, Claude, BigQuery, Vercel. We're tool-agnostic at heart - we pick what your Broken Hill team can actually run after we hand the build over, not what looks good on a vendor sticker.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
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.