IndustriesRestaurants and cafés

Fill tables and bring regulars back, on autopilot.

Guests message your number. The AI concierge books tables, takes orders with payment, shares the menu, reports order status and asks for feedback while your team serves.

  • Built for
  • Restaurants
  • Cafés and bakeries
  • Cloud kitchens
  • Banquet and catering
  • Restaurant groups
Restaurant conciergeOnlineTable for 4 tonight at8?Yes, a table for 4 isopen at 8:00 PM.Confirm it?Confirm. Can you alsosend the menu?Confirmed. Today’smenu is on its way.Type a messageReservation4 guests, 20:00OrderPaidFeedback requestTomorrow
Channels
Your restaurant chat number
Records
Customers, reservations, menu, orders and feedback in one simple sheet
Schedules
A daily morning job for reminders, feedback requests and win-back messages
AI role
Understands each message. Business rules stay in the workflow.

Where the revenue leaks

These are the three gaps we see most often, and the reason this system exists.

Peak hours drop messages

Staff cannot answer chats while serving tables, so reservation and order requests wait.

The same questions repeat

Menu, timing and location questions arrive every day and take staff time.

Regulars drift away

Without a nudge, a guest who liked your place will not think of you next week.

The same team and the same leads. A different result.

What changes when the routine work runs itself.

Without automation
With Lytemesh
Chats go unanswered during the dinner rush
Every message is answered, even at peak hours
Staff repeat the menu and timings all day
The agent answers instantly from your live menu
Reservations live in notebooks and calls
Reservations are confirmed in chat and recorded
Feedback is rare and unstructured
Every guest is asked for feedback after the visit
Regulars are forgotten
Returning guests get timely win-back messages

How your enquiries flow

Every channel in, every outcome out. This is the path your restaurants and cafés enquiries take once the system is live.

Table booking requests
Takeaway orders
Guest feedback
Returning guests
Lytemesh automation
  • Understand
  • Qualify
  • Decide
  • Act
Table confirmed
Order sent to the kitchen
Manager alerted on a low rating
Win-back offer sent
Live activitySample
  1. A guest not seen in 45 days gets an offer
  2. A two-star review reaches the manager at once
  3. Order received, kitchen notified
  • Table booking requests leads to: Table confirmed
  • Takeaway orders leads to: Order sent to the kitchen
  • Guest feedback leads to: Manager alerted on a low rating
  • Returning guests leads to: Win-back offer sent

How the system runs

The path of one enquiry through the automation, step by step.

Owner alertsLive
  • Reservation4 guests, 20:00
  • OrderPaid
  • Feedback requestTomorrow
  1. Guest sends a message

    One number receives every message.

  2. Intent is identified

    The AI decides whether the guest wants a reservation, an order, the menu, an order status or to leave feedback.

  3. Records are read and updated

    The workflow looks up the guest, checks the menu and records the reservation or order.

  4. Payment and confirmation

    Orders include a payment step. One shared reply sends a consistent confirmation.

  5. Daily morning job

    Reservation reminders, feedback requests and retention messages go out each morning.

What the automation does for your restaurants and cafés business

Each capability is configured around your process, not forced into a template.

  • Reservations with confirmation

    Guests pick a time and party size. Confirmation and reminders follow.

  • Orders with payment

    Orders are taken in chat with a payment step and a consistent confirmation.

  • Live menu on request

    Edit one sheet and the agent shares the new menu straight away.

  • Order status updates

    Guests ask where the order is and get an answer without calling.

  • Feedback collection

    A short feedback request goes out after every visit, and low ratings alert the owner.

  • Retention messages

    A daily job nudges returning guests with timely offers you control.

See your pipeline in real time

A live view of every step from first contact to result. The figures below are a sample view with illustrative data.

Live pipeline viewLiveSample view, illustrative data
After-hours bookings
64
Feedback response
58%
Repeat visits
117
Pipeline funnel
From first contact to result, with the step-by-step conversion
  • Chats640
  • Reservations and orders61% of chats388
  • Completed90% of reservations and orders351
  • Repeat guests33% of completed117
Pipeline funnel
Chats640
Reservations and orders388
Completed351
Repeat guests117
Conversation outcomes
Who handled each conversation
78%resolved
  • Resolved by the agent78%
  • Handed to your team16%
  • Awaiting customer6%
Conversation outcomes
Resolved by the agent78%
Handed to your team16%
Awaiting customer6%
When enquiries arrive
Enquiries by day and time, in two-hour blocks
Mon
Tue
Wed
Thu
Fri
Sat
Sun
12 am6 am12 pm6 pm12 am
FewerMore

67% of enquiries in this sample arrive outside 10 am to 6 pm on weekdays. This is when slow teams lose leads.

When enquiries arrive
MonBusiest 12 pm to 2 pm, 31 enquiries
TueBusiest 8 pm to 10 pm, 35 enquiries
WedBusiest 8 pm to 10 pm, 35 enquiries
ThuBusiest 8 pm to 10 pm, 35 enquiries
FriBusiest 8 pm to 10 pm, 34 enquiries
SatBusiest 8 pm to 10 pm, 42 enquiries
SunBusiest 8 pm to 10 pm, 39 enquiries
Service levels
Share of conversations meeting each target
  • Replied within one minute92%
  • Qualified within five minutes91%
  • Follow-ups sent on time98%
Service levels
Replied within one minute92%
Qualified within five minutes91%
Follow-ups sent on time98%
Where enquiries come from
Share of enquiries by source
  • Chat46%
  • Social posts24%
  • Website15%
  • Walk-in QR10%
  • Referrals5%
Where enquiries come from
Chat46%
Social posts24%
Website15%
Walk-in QR10%
Referrals5%
Enquiries handled per week
Last eight weeks, rising as the system learns your process
75
Week 1Week 8
Enquiries handled per week
Week 144
Week 246
Week 350
Week 457
Week 563
Week 668
Week 773
Week 875
Live activity
Newest first. Sample events.
  • Reservation4 guests, 20:00
  • OrderPaid
  • Feedback requestTomorrow
  • Follow-up sentReminder on day two
  • Handed to your teamSummary attached

What you will track

  • Reservations taken after hours
  • Order value through chat
  • Feedback response rate
  • Repeat visits after retention messages
  • Staff minutes spent on chat

Everything included

  • Reservations with confirmation
  • Orders with payment
  • Menu on request, always current
  • Order status updates
  • Feedback collection after the visit
  • Retention messages to returning guests
  • A plain sheet back end the owner can read
  • Simple, clearly named steps any team member can maintain

Products used in this system

Questions about restaurants and cafés automation

Do I need to change my billing system?

No. The system runs on a plain sheet. A billing or delivery integration can be added on request.

Can the menu change daily?

Yes. Edit the menu sheet and the agent uses the new menu straight away.

Can it take payment?

Yes. Orders include a payment step and a confirmation.

Can it work for several outlets?

Yes. Each outlet has its own settings, menu and reporting.

See how this would run in your restaurants and cafés business.

Book a free automation audit. We will map your enquiry flow and show you the system for it.

Chat with us