AI demand forecasting is overhyped at the macro level and underused at the workflow level. For a NZ HVAC company, that gap is where the actual ROI lives – and where most of our work happens.
HVAC companies · Applied AI
AI sales + stock forecasting, built around how a HVAC company actually works.
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 Kiwi Dynamics
With Kiwi Dynamics
Why HVAC companies are different
HVAC companies run their businesses unlike anyone else.
- Heating and cooling businesses run on seasonal call volume that spikes exactly when the team is already stretched.
- Scheduling, callout triage, and maintenance reminders are what separate a booked-out HVAC business from a quiet one.
How we build AI demand forecasting for HVAC companies.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a HVAC company business, so value lands before the build is finished. AI sales + stock forecasting.
Talk to usThe outcome for HVAC companies
If we build the right slice first, HVAC companies feel the difference inside the first month. 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.
Questions
FAQ
When does AI demand forecasting actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a HVAC company – so the savings start landing before the rest of the build is finished.
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.
Will this run on our own infrastructure?
Yes, where it makes sense. AI demand forecasting can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Prophet, DuckDB, Claude, BigQuery, Vercel but the architecture supports your existing platform choices.
Worth a conversation?
Even if you don't end up working with us, you'll leave the call knowing what's worth building.
Get in touch
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.