AI demand forecasting for real estate agents.
AI sales + stock forecasting, built around how a real estate agency actually works.
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
- Serious breaches get reported
Listing copy, buyer follow-ups and appraisal requests drafted fast, with personal information handled under the Privacy Act 2020.
Where most real estate agencies engagements actually deliver value.
Agents live on their phones between open homes, listing enquiries, and vendor updates that can't wait until Monday.
Lead response speed decides who gets the listing, and most agencies lose leads simply because nobody replied fast enough.
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.
Stockouts down 35%, overstock down 22% in the first season. For real estate agencies, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart. Kiwi Dynamics
An AI agency, minus the theatre.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
On the tools or running at scale, the admin still eats the week :)
The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
Straight answers
What's a typical engagement length for real estate agencies?
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.
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.
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.
What does the Privacy Commissioner expect before we use AI?
Senior leadership sign-off, a check that the tool is necessary and proportionate, and a privacy impact assessment before it goes live.
Does scheduling handle public holidays?
It should. New Zealand has 11 national public holidays, including Matariki, plus a regional anniversary day that depends on where your business is.
Let's chat
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