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Conversational AI

A restaurant chain reduced no-shows by 50% and increased table turnover by 25% with AI reservation management

Multi-location Restaurant Chain4 weeks, kickoff to all locations live
WhatsApp

Reservations

Live
U
Table for 4 tonight at 8?
AI
8pm is fully booked, but I have 7:15 or 9pm — either work?
U
9pm is perfect
AI
Booked for 4 at 9pm. I'll send a reminder at 5pm today.
50%No-show reduction
25%Table turnover increase
24/7 WhatsAppBooking channel
YesStaff redeployed to service

The challenge

The front-of-house team fielded dozens of phone calls daily to manage reservations, often missing calls during peak service hours. No-show rates hovered around 25%, leaving tables empty during prime slots. Walk-in customers were turned away while reserved tables sat unused. The manual process made it impossible to optimise table turnover across locations.

What we built

We built an AI reservation agent on WhatsApp that lets diners book, modify, and cancel reservations conversationally. The system sends confirmation messages immediately and reminder nudges 4 hours before the reservation. If a customer cancels or does not confirm, the slot is released to the waitlist automatically. A central dashboard gives managers real-time visibility into occupancy, no-show patterns, and peak demand across all locations.

How we got there

1

Connect booking to WhatsApp

Let diners book, modify, and cancel conversationally on the existing WhatsApp number.

2

Automate the no-show loop

Built confirmation, reminder, and auto-release-to-waitlist logic.

3

Roll out across locations

Gave managers one dashboard for occupancy and no-show patterns across every site.

Results

No-shows dropped by 50%. Table turnover increased by 25% as released slots were filled from the waitlist. Front-of-house staff spent less time on the phone and more time on service. The chain expanded its reservation capacity without adding staff.

Services used in this engagement

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