AI demand forecasting for HVAC companies.
AI sales + stock forecasting, built around how an HVAC company actually works.
Maintenance reminders, bookings and quotes with GST at 15 per cent handled automatically across your customer base.
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.
From one-person trades to national organisations, we find the hours :)
Quotes with GST, consent paperwork, LBP records and health and safety logs: the admin every New Zealand trade business carries.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
Definitely not a typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Built around how New Zealand works.
Demand and cash flow forecasts from your own history, including the harvest, school holiday and public holiday swings your business actually has.
- 11 public holidays, plus yours
- Four school terms a year
- GST at 15 per cent
How Kiwi Dynamics works
We find the one workflow costing HVAC companies the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
Small team.
Real systems.
Zero fluff.
What you get
If we build the right slice first, HVAC companies feel the difference inside the first month.
- Combines your sales history with weather, calendar, and event data
- Per-SKU and per-store forecasts, not whole-business averages
- Re-forecasts weekly as new data comes in
- Explains the why behind every number
- No shelfware or licences you do not use
- No annual contracts
Straight answers
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 an HVAC company - so the savings start landing before the rest of the build is finished.
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.
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.
Does it keep up with KiwiSaver changes?
It has to. The minimum employer contribution rose to 3.5 per cent on 1 April 2026 and rises to 4 per cent on 1 April 2028.
Can reminders follow the new WoF rules?
They need to. From 1 November 2026 many light vehicles aged 4 to 14 years move to a WoF every two years, and new vehicles get their second WoF at 4 years.
Let's chat
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