The version of AI personalisation that works for a Murray Bridge business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates - usually with fewer parts than the off-the-shelf pitch.
For Murray Bridge operators who want a working pilot in weeks, not a year-long programme.
What AI personalisation actually does
Every customer sees the right product, message, and offer - based on what they've bought, browsed, and asked. Built on first-party data, no creepy tracking required.
- 01 Per-customer recommendations across web and email
- 02 Dynamic landing pages tailored to traffic source
- 03 Lifecycle messaging triggered by real behaviour
- 04 GDPR + NZ Privacy Act compliant by default
Built on: Claude Vercel Edge Postgres Klaviyo
Without Koala Dynamics
With Koala Dynamics
What's different about doing this work in Murray Bridge.
- Murray Bridge is food processing and agriculture on the Murray, an hour from Adelaide and serving both.
- Meat processing, dairy, irrigated agriculture and transport. Food-safety compliance and shift-based workforce administration are the heaviest recurring loads.
We work with teams across Murray Bridge: Murray Bridge CBD · Murray Bridge South · Mannum · Tailem Bend · Callington.
Talk to us about this →
How we build AI personalisation for a Murray Bridge team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Murray Bridge business, so value lands before the build is finished. AI personalised CX.
Talk to usThe outcome for Murray Bridge teams
The shape of the result for Murray Bridge teams: Conversion lift of 18-32% over generic site experiences. Built on Claude, hardened with the rest of the stack as it scales.
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.
FAQ
When does AI personalisation actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Murray Bridge - so the savings start landing before the rest of the build is finished.
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.
Anyone else in this space using AI personalisation?
Plenty. Conversion lift of 18-32% over generic site experiences. 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.
Will this run on our own infrastructure?
Yes, where it makes sense. AI personalisation can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, Vercel Edge, Postgres, Klaviyo but the architecture supports your existing platform choices.
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.