Most cafes and restaurants we talk to aren't short of dashboards or tools – they're short of an hour back in the week. That's the lens we put on AI data analytics: not a tech showcase, but a careful look at the one or two workflows where a cafe or restaurant is paying for the same problem to be solved twice.
Cafes and restaurants · Applied AI
For cafes and restaurants who want results in weeks, not a year-long transformation programme.
What AI data analytics actually does
Stop digging through dashboards. Ask plain-English questions of your sales, jobs, and customer data – get charts, summaries, and the why behind the numbers in seconds.
- 01 Natural-language queries over your Xero, Shopify, CRM data
- 02 Weekly auto-summaries delivered to inbox or Slack
- 03 Anomaly detection – flags weird weeks before you notice
- 04 Forecasts that explain themselves, not black boxes
Built on: DuckDB Claude Metabase BigQuery Vercel AI SDK
Without Kiwi Dynamics
With Kiwi Dynamics
Sector context
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.
How we build AI data analytics for cafes and restaurants.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a cafe or restaurant business, so value lands before the build is finished. Ask your data in English.
Talk to usThe outcome for cafes and restaurants
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.
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 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.
Do you have proof this works for cafes and restaurants?
Direct case study: Owners check the business in 2 minutes instead of 2 hours. Happy to walk you through full numbers on a call.
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.
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.