AI for restaurants: bilingual reservations, waitlists, and review responses
If you run a Vegas restaurant, you already know your phones are a problem. Here's a playbook that doesn't involve another iPad.
Vegas restaurants have a phone problem that's particular to the city. Locals call. Visitors call. Both call at unpredictable hours. The hostess is busy seating tables and the bartender is making drinks. The phone rings and rings and a reservation that wanted to come in just goes somewhere else.
The first move for a restaurant is voice. AI takes reservation calls, answers questions about hours and dress code and parking, manages the waitlist during the rush, and confirms bookings the morning of. Bilingual handling is more or less mandatory in this market. Done right, it's invisible to the customer — they feel like they got a competent host on the phone, on the first ring.
The second move is review handling. Yelp, Google, OpenTable. The thoughtful reply to a thoughtful review costs you ten minutes, and most kitchens never have ten minutes. AI drafts replies in the voice you choose — warm, classy, attentive — and the owner reviews before posting. A restaurant that responds to every review has a measurably better star rating in twelve months than one that doesn't, even when the actual food is identical.
The third, more advanced move is dormant-customer reactivation. The regular who hasn't been in for four months. The big-spender from a private event who never came back. AI runs the cadence — a personal-feeling text, the occasional invitation to a tasting, a small acknowledgment of a special occasion. None of this should feel like marketing, and none of ours does.
We've yet to deploy this for a restaurant where it didn't pay back inside the first quarter. The food doesn't change. The chef doesn't change. The phones just stop being a place where revenue goes to die.