The version of AI demand forecasting that works for a Shepparton business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates - usually with fewer parts than the off-the-shelf pitch.
For Shepparton operators who want a working pilot in weeks, not a year-long programme.
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
Why Shepparton businesses are a fit for this.
- Shepparton is the Goulburn Valley food bowl - orchards, dairy and processing, with one of the most multicultural workforces in regional Australia.
- Fruit growing, dairy, food processing and the logistics around them, with a workforce speaking dozens of languages. Translation and multilingual customer contact are not a nice-to-have here, they are the job.
We work with teams across Shepparton: Shepparton CBD · Mooroopna · Kialla · Shepparton East · Tatura.
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How we build AI demand forecasting for a Shepparton team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Shepparton business, so value lands before the build is finished. AI sales + stock forecasting.
Talk to usThe outcome for Shepparton teams
Stockouts down 35%, overstock down 22% in the first season. For Shepparton teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
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 Shepparton 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.
Anyone else in this space using AI demand forecasting?
Plenty. Stockouts down 35%, overstock down 22% in the first season. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope 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.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
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.