Make everyday restaurant information easy to find
Guests ask when the kitchen closes, whether a venue offers a particular dish and how to reach the location. Prepare current answers for opening hours, menu descriptions, contact details and the booking process. Keep date-specific changes visible to the knowledge owner. The assistant should not promise that a dish is available merely because it appears in a menu document. When a fact changes during service, make staff confirmation the next step rather than allowing an outdated answer to continue circulating.
Collect reservation enquiries with useful context
A booking enquiry becomes actionable when the team knows the requested date, time, party size and any relevant seating preference. Ask for the missing detail instead of presenting a long form. A calendar connection can support an eligible appointment workflow, but restaurant table inventory may need a separate operational system or staff confirmation. State the difference clearly. Preserve the original request so a host can check capacity, contact the guest and confirm an arrangement using the restaurant’s actual process.
Keep special requests with the people preparing food
Dietary restrictions, allergy questions, event bookings and unusual service requests need an accountable staff member. The chatbot can capture the question and direct it to the right person without inventing ingredient assurances. Approved menu descriptions are a starting point, not a guarantee about preparation or cross-contact. For catering or group events, collect the occasion and timing so the team can prepare a response. Do not report a catering order or payment as completed unless an authorized workflow has actually succeeded.
Plan a focused launch and review the results
Start with opening-hour and reservation enquiries. Collect the questions your team actually receives, approve the answers and identify the person who owns exceptions. Decide which details matter: requested date, party size and the question needing staff confirmation. Keep the first rollout narrow enough that the team can review every conversation and correct confusing answers before expanding it. Test short messages, incomplete requests, Hindi, English and Hinglish, plus a direct request to speak to a person. Check that a human can continue from the captured context without asking the same questions again. Evaluate correct venue information and reservation requests the host can act on, rather than treating every automated response as a successful outcome. Review unanswered questions regularly, assign someone to maintain changing information and agree how customers can reach your team when automation cannot help. Bring these examples to your demo so the conversation starts with your actual operating needs.