AI data analytics for cafes and restaurants.
For cafes and restaurants who want results in weeks, not a year-long transformation programme.
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.
Rosters that account for 11 public holidays, including Matariki, plus your anniversary day, without a spreadsheet.
What AI data analytics actually do
Stop digging through dashboards. With the right workflow automated, nine hours of admin a week could drop to about one.*
*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual 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.
Where cafes and restaurants actually lose hours and dollars.
Hospitality runs on thin margins where a missed booking, a bad review left unanswered, or a slow roster costs real money.
Reservations, reviews, and rostering are the recurring admin that pulls owners off the floor.
If we build the right slice first, cafes and restaurants feel the difference inside the first month. Owners check the business in 2 minutes instead of 2 hours. Kiwi Dynamics
Questions cafes and restaurants ask
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
What's the smallest engagement you'd take on?
A two-week paid discovery for cafes and restaurants that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
What tools do you build AI data analytics on?
For AI data analytics we usually reach for DuckDB, Claude, Metabase, BigQuery, Vercel AI SDK. We're tool-agnostic at heart - we pick what your cafe or restaurant team can actually run after we hand the build over, not what looks good on a vendor sticker.
Does it keep up with KiwiSaver changes?
It has to. The minimum employer contribution rose to 3.5 per cent on 1 April 2026 and rises to 4 per cent on 1 April 2028.
How does this fit the Public Service AI Framework?
The framework, led by the Government Chief Digital Officer, asks for safe, transparent and accountable AI. Agencies that sign the Algorithm Charter also commit to transparency in how they use algorithms.
Talk to us about AI data analytics
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Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.
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