AI ordering and menus
A menu that talks back. Guests scan, ask in English, Arabic, or French, get honest answers about ingredients and allergens, and order without flagging down staff.
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AI implementation · Riyadh · Restaurants & F&B
For a Riyadh restaurant, the AI that pays for itself first is a menu that answers: guests scan, ask about ingredients and allergens in Saudi Arabic or English, and order without flagging down staff. We build that plus WhatsApp orders and nightly reporting, on the same stack as Tamr, our own restaurant product. Fixed price after discovery.
Riyadh F&B is crowded, fast, and increasingly digital, with orders arriving on WhatsApp, Instagram, the phone, and several delivery apps at once, and someone retyping every one of them. Guests expect to be answered in Saudi dialect, and they expect it now, whether they are asking what is on the menu, whether a dish is spicy, or where their order is. Most of that repetitive load no longer needs a person.
We build the AI ordering and menu layer, WhatsApp orders and reservations that land in one clean queue, and a nightly sales-and-stock brief before you lock up. We run this ourselves: Tamr is our own QR-menu-and-AI-waiter product, so we know what breaks in a real Riyadh service, the dialect, the rush, the delivery-app chaos, and we build for it rather than for a demo.
A menu that talks back. Guests scan, ask in English, Arabic, or French, get honest answers about ingredients and allergens, and order without flagging down staff.
Bookings, group orders, and “are you open today” handled automatically, with the kitchen and the floor seeing one clean queue instead of five inboxes.
Daily sales, best sellers, and what’s about to run out, compiled and sent before you’ve locked the door.
Yes. Guests ask about ingredients, allergens, and what to order in real Saudi Arabic or English, and get a straight answer from your actual menu data without waiting on staff. It is a core part of what we build on Tamr for restaurants.
Yes. Bookings, group orders, and “are you open today” get handled automatically, with the kitchen and floor seeing one clean queue instead of several inboxes and delivery-app tabs. It runs on the channels your guests already use.
Because we build on Tamr, our own restaurant product, the core menu and ordering layer goes live fast, often within a few weeks, then we tailor it to your menu, channels, and dialect. We scope the exact timeline and a fixed price after a short discovery.
The free AI audit maps your operations and shows the three systems we’d build first, in plain language, with a fixed price to start.
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