A natural booking conversation
The AI greets the caller in English, understands a booking request and can adapt when the guest continues in another supported language.
MOSHI MOSHI · AI FOR RESTAURANTS
One helpful voice.
One connected booking operation.
Moshi Moshi is building an AI Receptionist that answers naturally, captures the right booking details and keeps the restaurant team in control from the first hello to the moment a guest is seated.
Booking-only experience Sample restaurant data No real calls or messages
ILLUSTRATIVE DEMO VISUALMoshi Moshi AI Receptionist00:18
“Good evening, you’ve reached Moshi Moshi. You can speak to me in any language. How can I help with your booking?”
Listening Language-aware
WHY MOSHI MOSHI
The call is only the beginning.
A restaurant does not need another disconnected chatbot. It needs a calm front-door experience that understands the guest, follows the restaurant’s booking rules and gives the team a clear next action.
That is the Moshi Moshi direction: AI Receptionist and Booking Management working from the same restaurant profile, availability and guest history — with staff always able to review and take over.
CURRENT SAMPLE DEMO
What you can try today.
Interactive sample data only. No real phone call, booking, SMS, email or payment is created.
Availability and alternatives
Ask for a sample date, time and party size. If that slot is full, the AI offers an available alternative instead of ending the conversation.
Connected booking updates
A confirmed sample booking appears in the booking workspace, guest profile, activity feed and simulated customer and owner notifications.
A working seating workspace
Explore sample tables, availability, walk-ins, waitlist actions, booking changes and the guest lifecycle in one browser-based demo.
BOOKING MANAGEMENT · PRODUCT ROADMAP
From finding a table to running the whole seating workflow.
Product direction — not all functions are live yet.These capabilities describe the planned Moshi Moshi Booking Management system. The current demo coverage is listed above.
01
Floor & capacity
Know what can be booked
- Table Management + Floor Plan
- Table combination / split rules
- Availability Engine
- Dining duration + buffer
- Multi-area seating
02
Service workflow
Keep every service moving
- Service / kitchen pacing
- Walk-ins
- Waitlist
- Booking lifecycle
- Booking modification with re-check availability
- Manager override
03
Guest & control
Protect revenue and remember guests
- Deposits / card guarantee
- Cancellation / no-show rules
- Guest CRM
- Visible vs internal guest notes
- SMS reminders / confirmation
- Special events / special-day rules
- Booking analytics
- AI Phone direct booking integration
TARGET DEMO JOURNEY
One story customers can see from start to finish.
This is the guided experience Moshi Moshi will build toward. It is shown here as the formal demo standard, not as a claim that every step is already implemented.
Recalculate after every change Keep staff in control Update one connected system
- 01Book four
A guest asks the AI for a table for four.
- 02Assign a table
The sample floor plan finds the best fit.
- 03Change to six
The guest changes the party size to six.
- 04Recalculate
Availability and table fit are checked again.
- 05Add a walk-in
A walk-in arrives and remaining capacity drops.
- 06Join the waitlist
When full, the next guest joins the waitlist.
- 07Seat the guest
A waitlist entry moves through to seated.
- 08Request approval
A large booking is routed to staff approval.
- 09Request a deposit
A special-day rule requests a deposit.
- 10See AI Phone sync
The AI Phone creates a booking in the same system.
DESIGNED AROUND HOSPITALITY
Automation that still feels human.
Natural, not robotic
Friendly prompts, clear alternatives and a conversation that moves at the guest’s pace.
Available when the team is busy
Capture booking intent without pulling staff away from the dining room during service.
One source of truth
The AI Receptionist and management workspace are designed to use the same booking rules and guest records.
Clear safeguards
Future deposit, no-show and manager controls remain visible and reviewable instead of hidden behind the AI.
START WITH A SAMPLE BOOKING
Hear the welcome. Make the booking. See the system update.
Try the current browser demo, then open Booking Management to see how the sample reservation moves into the restaurant workflow.