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WhatsApp AI for restaurants that cannot afford missed orders

Turn every WhatsApp chat
into a polished restaurant experience.

LumaTable helps restaurants take voice-note orders, reservations, menu questions, feedback, dine-in QR orders, and staff handoff from one cinematic dashboard built for real operations.

Voice notes Arabic + Arabizi Orders Reservations Dine-in QR
Nura Kitchen online
Bdi order mixed seafood w 2 extra calamari
Perfect. I added it and kept your previous address.
Pickup or delivery?
Delivery. Estimated prep time: 45 min.
Live operations 12 active chats
Orders today46
Reservations18
VIP guests27
Queue0
AI understood a voice note
Reservation confirmed
Staff can take over anytime
Order ticket #128 Ready for kitchen
24/7AI intake
1 inboxfor staff and AI
Fastorder confirmation
Builtfor Lebanese-style chats

Cinematic Flow

One messy customer message becomes a clean restaurant operation.

This is the magic restaurant owners need to understand quickly: WhatsApp stays natural for the guest, but every important detail becomes structured for the team.

Voice note "Bdi 2 shawarma w fries"
AI interprets Order + add-ons + address No reservation confusion. No random item guessing.
Dashboard ticket 2 x Chicken shawarma Fries, delivery, saved address
Staff view Confirm, edit, handoff The team stays in control.

The Experience

A guest can speak naturally. The restaurant still receives structure.

Most restaurant software forces customers into rigid forms. LumaTable keeps WhatsApp natural, then turns messy conversations into clean operational records.

01

Customer messages the restaurant

They can type, ask prices, send a voice note, ask about delivery, or request a reservation.

02

AI understands the intent

Orders, modifications, cancellation requests, feedback, dine-in questions, and reservations stay separated.

03

Dashboard updates instantly

Staff see the order, reservation, table, feedback, or handoff without hunting inside WhatsApp.

04

When AI is unsure, it protects the restaurant

Instead of inventing items, it asks the guest to type clearly or use the menu cart link.

What You Sell

Not a chatbot. A restaurant operating layer.

WhatsApp ordering

Typed orders, voice notes, add-ons, saved addresses, pickup names, order status, and smart fallback to cart.

Reservation intake

Day, date, month, time, party size, capacity checks, cancellation, modification, and restaurant-local time.

Dine-in QR ordering

Guests scan, see the menu, order from the table, request waiter help, and leave feedback after the meal.

Human handoff

Staff can step in when the order is sensitive, custom, unclear, or needs human approval.

Analytics and VIP guests

Daily revenue, repeat customers, VIPs, popular items, campaign returns, feedback, and restaurant health.

Multi-restaurant ready

Separate settings, WhatsApp numbers, menus, users, billing reminders, monitoring, and tenant isolation.

LumaTable dashboard preview

Dashboard

Designed for owners who want control without chaos.

Restaurants get a clean command center for the things they care about every day: orders, reservations, customers, dine-in tables, menu availability, campaigns, billing, and monitoring.

  • Live orders and reservation status
  • Customer profiles, VIPs, repeat guests, phone numbers
  • Menu photos, availability, add-ons, and pricing
  • Campaign tracking and inactive customer comeback metrics
  • System health, queues, workers, and uptime monitoring

Live Restaurant Moments

The website should make owners imagine their own restaurant running smoother.

LumaTable is built for the little moments that usually create chaos: price questions, order edits, unclear voice notes, busy-hour prep time, table QR orders, and cancellation requests.

01

Guest asks a price

AI answers the price and clarifies sizes instead of accidentally creating an order.

02

Guest modifies an order

Remove this, replace with that, keep the rest. The dashboard stays accurate.

03

Guest books a table

Reservations stay separate from orders, with date, time, capacity, and party size handled cleanly.

04

AI is unsure

It protects the restaurant by asking for clearer text or sending the cart link.

Why Restaurants Care

The value is simple: fewer missed orders, cleaner operations, happier guests.

More revenue captured

Fast replies help restaurants win the customer before they message someone else.

Less staff pressure

The team sees structured orders and reservations instead of chaotic WhatsApp scrolling.

More premium brand feel

Guests feel like the restaurant is modern, fast, organized, and easy to order from.

Better customer memory

Saved numbers, names, addresses, preferences, feedback, and VIP history stay available.

Before LumaTable

Messy WhatsApp chats

  • Missed voice notes
  • Staff forgets order changes
  • Reservations mixed with orders
  • No clean customer history
  • No way to know which customers came back
  • Reviews and complaints disappear inside chat

After LumaTable

Structured restaurant flow

  • Orders become dashboard records
  • Reservations stay separate
  • Staff can approve or take over
  • Customers can use AI or cart fallback
  • Feedback, reviews, VIPs, and repeat guests are tracked
  • Owners see revenue, campaign ROI, and daily performance

Analytics, Reviews, Feedback

Owners do not just want orders. They want to know what is working.

LumaTable turns daily restaurant activity into simple answers: who ordered, who came back, what sold most, which guests are VIPs, what people complained about, and whether campaigns actually brought customers back.

Revenue pulse $2.8k Tracked across orders, dine-in, pickup, and delivery.
Review funnel 4.7/5 Feedback collected after meals and separated by source.
Repeat guests 38% Customers who came back after ordering before.
Campaign comeback 22 Inactive customers who ordered after a campaign.

Book a Demo

Want to see how LumaTable would look for your restaurant?

Message us on WhatsApp for pricing, a demo, or to ask which setup fits your restaurant. We can show ordering, reservations, dashboard, dine-in QR, and customer analytics.