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Restaurants

Restaurant Reservation & Menu Chatbot

Phone reservations are missed during service, and staff repeatedly answer the same menu, allergen and opening-hours questions.

Overview

Restaurant Reservation & Menu Chatbot is a no-code, white-label conversational agent built on NIVA's persona, flow, and smart-form engines. Phone reservations are missed during service, and staff repeatedly answer the same menu, allergen and opening-hours questions. With NIVA, a restaurant persona answers menu and allergen questions from a knowledge base. The Smart Form Engine surfaces a reservation form when booking intent appears, and a webhook sends the booking to your reservation system. The result is a measurable shift from manual, after-hours-limited handling to instant, structured, around-the-clock engagement that feeds directly into your systems.

The problem

Phone reservations are missed during service, and staff repeatedly answer the same menu, allergen and opening-hours questions. For restaurants teams specifically, every hour spent on this manually is an hour not spent on higher-value work, and every unanswered query outside business hours is a lost opportunity that a competitor with instant response will capture.

How NIVA solves it

A restaurant persona answers menu and allergen questions from a knowledge base. The Smart Form Engine surfaces a reservation form when booking intent appears, and a webhook sends the booking to your reservation system. Because the persona is pre-trained for restaurants and the logic is assembled in a no-code flow, the team owning this does not need engineering support to launch or iterate. Every conversation is logged and attributed, so the same deployment doubles as an insight layer revealing the questions and friction points worth acting on.

Automation flow

  1. Trigger: "book a table" or menu question
  2. Knowledge base: answer menu, allergen and hours questions
  3. Form: party size, date, time, contact
  4. Webhook: push to reservation platform
  5. Confirm: reply with a booking reference

Before vs after

AreaBeforeWith NIVA
Missed callsLost during serviceCaptured any time
Menu questionsStaff-answeredSelf-served
Booking effortPhone onlyInline form
Off-hours bookingsLostCaptured 24/7

How it works under the hood

Under the hood this maps to NIVA's documented engines. The persona engine handles tone and routing for restaurants, drawing on a library of pre-trained personas so the agent speaks the language of the domain from day one rather than being trained from scratch. The flow engine runs the conditional steps in the sequence shown above, branching on the visitor's answers so each person follows the path that fits their situation. The smart-form engine surfaces structured fields at the moment intent appears, capturing clean data inline instead of bouncing the user to a separate form. Cross-session memory preserves context so returning users are recognised and never asked to repeat themselves. Finally, webhooks push the completed interaction into your systems of record, and per-persona tool calls can read live data from your APIs mid-conversation wherever an endpoint exists. None of these steps requires writing code; they are assembled in the no-code admin and embedded with a single script tag.

Who this is for

This is a public-facing deployment that engages prospects and customers directly on your website or app. It is designed to capture demand that would otherwise be lost outside business hours, to deflect the repetitive questions that consume your restaurants team, and to turn anonymous traffic into structured, followed-up leads.

See this use case on your business

See how a restaurant reservation & menu chatbot performs for your restaurants business. Book a NIVA demo to watch this exact flow run against your own content, or explore the live interactive bot to feel the experience your customers would.