Albany 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 Western Australia.
AI demand forecasting that lives in your stack, not on a vendor's roadmap. Shipped from Western Australia.
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 pattern across Albany engagements we've shipped.
- Albany combines Great Southern agriculture, a working port and a serious tourism season on the south coast.
- Grain and livestock, a woodchip and grain port, fishing and a heritage tourism draw. Farm clients and tourism operators need very different service, and local firms usually carry both.
We work with teams across Albany: Albany CBD · Middleton Beach · Spencer Park · McKail · Denmark.
Talk to us about this →How we build AI demand forecasting for a Albany team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Albany business, so value lands before the build is finished. AI sales + stock forecasting.
Talk to usThe outcome for Albany teams
What changes for Albany 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".
What's the smallest engagement you'd take on?
A two-week paid discovery for Albany businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
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 Albany team can actually run after we hand the build over, not what looks good on a vendor sticker.
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.