AI sales + stock forecasting, built for businesses operating in Central Coast.

We've worked with enough operators in Central Coast to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI demand forecasting project is sit with your team for a day before we propose anything.

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

The Central Coast context, plainly.

  • The Central Coast is a commuter belt that has grown into its own economy - health, construction and retail employ most of it, and a lot of owners are running a real business while still losing a day a week to admin.
  • Gosford and Wyong anchor a corridor of health services, aged care, trades and retail serving 350,000 people between Sydney and Newcastle. Plenty of businesses here are big enough to hurt from manual quoting and phone handling but too lean to hire an office manager for it.

We work with teams across Central Coast: Gosford · Wyong · Erina · Tuggerah · Terrigal · The Entrance.

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How we build AI demand forecasting for a Central Coast team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Central Coast business, so value lands before the build is finished. AI sales + stock forecasting.

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The outcome for Central Coast teams

We'd call the engagement a success when Central Coast teams are using the system without thinking about us. 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

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Koala Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Koala Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

FAQ

How long does AI demand forecasting take to ship for Central Coast businesses?

We aim for a working pilot inside 4-6 weeks - narrow scope, real Central Coast businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

Are there hidden costs we should plan for?

Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.

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.

Who owns the code and the model setup?

You do, on delivery. We deploy AI demand forecasting into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Prophet sits in your account too - we don't operate it from ours.

The honest version of a sales call.

No deck. No discovery doc. Just whether this is worth building and what it would cost.

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Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.