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Oak Table Restaurant
Independent restaurant · catering arm
Blended build

Catering inquiry triage from phone, web, and Instagram

Catering inquiries were arriving across three channels and getting answered when someone happened to notice them. We unified the intake into a single workflow with an agent that qualifies, holds dates, and routes proposals to the manager.

+47%
Catering inquiry conversion
<2 min
Average response timevs 6 hrs prior
71%
Held dates that converted to bookings

The situation before we started

Catering was a high-margin side of the business but inquiries were chaotic:

  • Phone: would ring during service prep and hit voicemail
  • Website form: would email the GM's already-overflowing inbox
  • Instagram DMs: would land in a shared account that anyone might or might not check

The pattern was the same across channels: a customer would inquire about catering for, say, a 60-person rehearsal dinner three weekends out, and by the time someone responded, they'd booked another restaurant. The GM estimated they were losing two to three solid catering inquiries a week to slow response time alone.

What we built

A unified intake workflow with channel-specific front ends but a single backend:

  • Voice agent on the catering line: qualifies (date, guest count, dietary requirements, venue type), holds the date pending proposal, books the customer onto a 15-minute call with the GM
  • Web form parser that runs the same qualification logic, sends an SMS within 60 seconds with the held date and a link to the manager's calendar
  • Instagram DM handler that gathers the same info via natural chat, recognizing intent shifts ("oh actually we want a buffet not plated")
  • Held-date dashboard for the GM showing all open holds, expiring in 48 hours unless confirmed
  • Proposal template pre-populated with the customer's specifics, sent to the GM as a draft Notion doc to review and send

Holds expire automatically if not confirmed, freeing the date back up — a small thing that prevented a long-running issue with double-bookings.

What happened

In the first 60 days after launch:

  • Catering conversion up 47% vs. the prior 60 days
  • Average response time across all three channels: under 2 minutes (previously: ~6 hours)
  • 71% of held dates converted into actual paid bookings, a clean signal that the agent's qualification was accurate

The GM's main quality concern — "the agent will sound like a robot and turn off the kind of customers who care about a hand-touched dinner" — turned out to be addressable. We spent two weeks tuning the voice agent's tone to be warm and unhurried, and explicitly trained it to hand off to a human at the slightest sign of complexity (off-menu requests, unusual venues, large guest counts, anything emotionally significant like a memorial or anniversary).

What's next

The same intake pattern is now being extended to private-event reservations during slow nights — using a similar held-date system to fill specific lower-revenue windows without putting pressure on prime-time tables.

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