Restaurant
Fill tables, cut no-shows, and win reviews on autopilot.
Independent restaurants, small chains and catering operations.
Illustrative scenario
Common problems
- Reservation phone-tag during service
- No-shows on weekends
- Catering RFPs land in a personal inbox
- Reviews skew angry
Customer journey
- 1Search 'restaurants near me'
- 2See site / Google / TikTok
- 3Call or DM to check availability
- 4Book table / order takeout
- 5Visit / dine
- 6Post-meal review or repeat visit
AI opportunities
- 24/7 reservations across chat + voice + form
- SMS reminder + one-tap cancel
- Catering RFP triage + auto-quote pack
- Feedback capture at the check-drop moment
Recommended WebsiteTech modules
- AI Digital Representative
- AI Appointment Booking
- AI Feedback Assistant (Customer Voice AI)
- Missed-Call Recovery
Recommended integrations
- OpenTable / Resy / SevenRooms
- Google Business Profile
- SMS
- Google Calendar
Sample AI conversations
Visitor
Do you have a table for 4 tomorrow at 7?
Nova (AI Employee)
Yes — 7pm or 7:15 both open. Any preference on patio vs. main room?
Visitor
Do you cater for 40 people?
Nova (AI Employee)
We do! Standard pans serve 8–10, so we'd suggest 5 protein pans + 3 sides for 40. I'll pull up our catering menu and email you a quote. What's the delivery date and address?
Sample automations
Trigger
Reservation booked
Actions
- SMS confirmation with cancel link
- 24h reminder
- Task to send Reserve-Right menu
Trigger
Check dropped (POS webhook)
Actions
- Send CSAT survey
- If ≥8: invite to leave a review
Setup requirements
- Reservation platform account
- SMS-capable number
- POS integration (optional)
- Menu + FAQ imported into WTC
Implementation sequence
Week 1
AI receptionist with menu KB + reservation booking
Week 2
Missed-call recovery + reminder SMS
Week 3
Feedback + review-gating
Week 4
Catering intake + auto-quote
Compliance considerations
- General data-privacy (opt-in only for marketing SMS)
KPIs
- No-show rate
- Reservations booked outside business hours
- Catering leads / month
- Average review rating
- CSAT ≥ 8 rate
Common mistakes
- Auto-marketing SMS without opt-in
- Letting AI accept reservations beyond capacity
- Publishing reviews from a small sample
Want this built for your business?
We'll turn this playbook into a proposal tailored to your specific business, integrations and budget.
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