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AI automation for restaurants, cafes and cloud kitchens

A restaurant's busiest hour is also when the phone rings most. Bookings, order status, timings and directions all arrive at the worst possible moment. They are also the easiest things to automate.

What this usually costs you today

Four things we hear in almost every first conversation in this sector.

The phone rings during service

Table bookings and questions arrive exactly when nobody can answer them.

Bookings live in a diary

Double bookings, missed notes and a no-show rate nobody measures.

Feedback only arrives publicly

The first you hear of a bad meal is a review, when it is too late to fix it.

Regulars are not recognised

A customer who came every fortnight stops, and no one reaches out.

The flow we automate

Each step is a handover today. Each one is a place where something gets dropped.

  1. EnquiryCall, WhatsApp, Instagram, web
  2. AnsweredTimings, menu, directions
  3. BookingTable confirmed
  4. ReminderSent before the slot
  5. VisitGuest arrives
  6. FeedbackRequested privately
  7. OfferRelevant, not constant
  8. ReturnRegulars recognised

What we build for restaurants & f&b

Most clients start with one of these and add the next once it is earning its keep.

Booking and enquiry handling

Table requests, timings, menu questions and directions are answered instantly on WhatsApp, Instagram and your website.

  • Bookings confirmed without a phone call
  • Menu and offers shared on request
  • Large-group requests routed to a manager

Reservation reminders

Guests are reminded before their slot and asked to confirm, which is the cheapest fix for no-shows there is.

  • Confirmation request before the booking
  • Easy reschedule or cancel
  • No-show rate actually measured

Order handling

Takeaway and delivery orders taken on WhatsApp, confirmed, and passed to the kitchen in a readable format.

  • Orders parsed into items
  • Confirmation with total and time
  • Repeat orders in one tap

Private feedback first

Guests are asked how it went right after the visit, so problems reach you before they reach a review site.

  • Feedback request after the visit
  • Negative feedback escalated immediately
  • Happy guests invited to review publicly

Offers and campaigns

Campaigns go to the guests they are relevant to, at a sensible frequency.

  • Segment by visit frequency and spend
  • Festival and event campaigns
  • Opt-out respected everywhere

Multi-outlet reporting

Covers, bookings, feedback and campaign results across outlets, without a manager compiling them.

  • Daily summary by outlet
  • Comparison across locations
  • Alerts when a number drops

Questions from this sector

Can it take bookings from Instagram DMs?

Yes. Instagram and WhatsApp are the two channels most F&B enquiries arrive on, and both can be handled by the same agent with the same booking calendar.

We use a POS system already.

Good. We connect to it rather than replacing it, so bookings, orders and sales data end up in one picture.

Will guests know they are talking to a bot?

We do not pretend otherwise, and the agent hands over to a person for anything unusual. In practice guests care about a fast, correct answer far more than who typed it.

Let us map your version of this

No two businesses in this sector run the same way. Tell us how yours works and we will show you which part is worth automating first.

Book a free audit Call us