AI demand forecasting for landscapers.
The version of AI demand forecasting that landscaping businesses still use a year after launch.
Site visits turned into quotes with GST at 15 per cent, plus rosters and invoices handled so the busy months stay outdoors.
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.
What AI demand forecasting actually does
Forecasts that account for school holidays, NZ weather, tourist seasons, and your own promo calendar. With the right workflow automated, nine hours of admin a week could drop to about one.*
*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.
An AI agency, minus the theatre.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Already buried in admin? We'll sort the first workflow for you :)
Nine hours a week of admin is 468 hours a year. That could drop to about 52.*
*Illustrative, based on 9 hours a week of admin at a typical 80% automation rate. The calculator uses your own numbers.
What we keep hearing from NZ landscaping businesses.
Landscapers quote big jobs from a site visit and small jobs from a phone call, and both processes usually run on paper.
Seasonal demand and slow quoting are the two things that most limit how much work a landscaping business can take on.
Less admin.
More weekend.
No theatre.
What you get
What changes for landscaping businesses 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.
- 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
Good questions, answered
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.
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.
Do you have proof this works for landscaping businesses?
Direct case study: Stockouts down 35%, overstock down 22% in the first season. Happy to walk you through full numbers on a 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 AI help with payday filing?
It can prepare it. Employers file employment information every payday, within 2 working days when filing electronically, and automation can have it ready for a person to check.
Talk to us about AI demand forecasting
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Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.
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