Veterinarians are some of the most efficient operators in New Zealand – which means the easy wins from AI demand forecasting are usually already taken. The brief we accept is the one focused on the workflow you've tried to fix twice and given up on.
Veterinarians · Applied AI
Built for the veterinarian who's already tried the off-the-shelf option and bounced off it.
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
From the trenches
The shape of every veterinarian brief we've seen.
- Vet clinics run on bookings, recalls, and after-hours emergency calls, with a small front-desk team trying to do all three at once.
- Between surgery schedules, vaccine recalls, and owners calling mid-panic, the phone and the inbox are where clinics lose the most time.
How we build AI demand forecasting for veterinarians.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a veterinarian business, so value lands before the build is finished. AI sales + stock forecasting.
Talk to usThe outcome for veterinarians
What changes for veterinarians 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. 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
How fast could we have AI demand forecasting in production?
Eight to ten weeks for most veterinarians. 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.
What does AI demand forecasting cost for a veterinarian?
Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.
Has this actually shipped for a real veterinarian?
Yes. Stockouts down 35%, overstock down 22% in the first season. We'll share comparable engagements on the call.
What if our veterinarian 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.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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.