AI demand forecasting for cleaning companies.
Cleaning companies-grade AI demand forecasting, shipped by people who've done it before.
Quotes with GST, rosters and payday filing for a spread-out team, handled without the Sunday night spreadsheet.
How much is the admin really costing 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.
Definitely not a typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Made for New Zealand paperwork.
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
Small team.
Real systems.
Zero fluff.
What AI demand forecasting covers
We'd call the engagement a success when cleaning companies are using the system without thinking about us.
- 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 AI theatre
- No annual contracts
The shape of every cleaning companie brief we've seen.
Cleaning businesses run on recurring contracts and one-off quotes, both of which need fast, consistent follow-up to win.
Quote turnaround and scheduling reliability are what most decide whether a cleaning company keeps a client past the first job.
On the tools or running at scale, the admin still eats the week :)
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.
Good questions, answered
What if our cleaning company doesn't have any data ready?
Most don't. Getting the data into shape - ingestion, cleaning, the lightweight contracts you need before any model is useful - is part of the engagement. For AI demand forecasting specifically, we typically run that work on Prophet, DuckDB, Claude, BigQuery, Vercel and assume messy starting conditions from day one.
Do you have proof this works for cleaning companies?
Direct case study: Stockouts down 35%, overstock down 22% in the first season. Happy to walk you through full numbers on a call.
How fast could we have AI demand forecasting in production?
Eight to ten weeks for most cleaning companies. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
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.
What happens when the Holidays Act is replaced?
The Employment Leave Act 2026 replaces it on 6 August 2028. Until then payroll follows the current Holidays Act, so leave calculations need to handle today's rules and the changeover.
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