Reserveat's artificial intelligence isn't a generic assistant: it works on your venue's real data — reservations, guests, reviews, menu — and turns it into concrete predictions and actions. It tells you which bookings are likely no-shows, which guests you're about to lose, how much demand to expect in the coming days, and drafts replies, emails and descriptions ready for your approval.
The result is a venue that decides ahead instead of reacting: you act on at-risk tables before they stay empty, win guests back before losing them, and plan shifts and purchasing on forecast demand. The same intelligence also answers the phone with the AI Switchboard, taking bookings and orders while your staff works the floor.
Every prediction and every suggestion comes from your real history of reservations, guests and reviews: no generic answers, just actionable guidance for your restaurant.
For every upcoming booking, the AI calculates the no-show probability and risk level, cross-referencing the guest's history with day, time, party size, channel and whether a deposit is in place.
The same engine estimates each guest's churn risk: you see who is drifting away while they can still be won back, not once they are already a lost customer.
For the guests most at risk of churning, the AI drafts personalised win-back emails, written on each guest's profile and history, ready for you to review and send.
It also suggests the best day and time to contact each guest, segments your database automatically and generates copy for emails and social posts consistent with your venue.
Every review is read by the AI: sentiment, dishes mentioned, reply priority, translation of the ones in foreign languages. For each one you receive a professional reply draft to approve or fine-tune.
Across periods, the AI produces summaries, spots anomalies and trends and suggests corrective actions: you know what is shifting in how guests perceive your venue before the numbers say it.
The AI estimates expected bookings and covers for the days ahead based on your history: you plan staff shifts and purchasing on forecast demand instead of gut feeling.
Reports on peak hours, the dishes most mentioned in reviews and staff complete the picture: you see where the venue is heading while there is still time to change course.
From the dashboard you chat with an AI assistant connected to your restaurant's data: ask it about reservations, guests, reviews, statistics or food cost and it queries your data and answers with the real numbers.
The AI helps with the menu too: it imports dishes and sections from a PDF, fixes reading errors and generates descriptions and translations for your menu and shop products.
Likely no-shows, guests on their way out and next week's demand stop being surprises: they become signals you can act on early, when intervening costs little and pays off a lot.
A targeted reconfirmation, a deposit requested at the right moment or a reinforced shift is worth more than any end-of-month analysis.
Review replies, win-back emails, menu descriptions, menu import from PDF: the AI prepares the work and you approve in minutes what used to take hours.
Quality stays under your control — nothing goes out on its own — but your staff's time returns to where it creates value: on the floor and in the kitchen.
Predictions don't live in a separate tool: they come from the same reservation, CRM and review data you already use every day, and the results stay linked to guests and bookings.
The no-show risk sits on the booking, the churn risk on the guest profile, the suggested reply next to the review: the AI lives inside your workflow, not in yet another platform to learn.
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