The rush-hour phone
TODAY It rings four times and stops. That was a six-top for Saturday.
WITH MOTE OPS An agent answers, takes the reservation, and answers the parking question, in English or Spanish, while your staff runs plates.
FOR RESTAURANTS, CAFES, AND FOOD TRUCKS
One vendor's research found 85% of restaurant calls go unanswered during peak hours, and every one of them is a reservation, a takeout order, or a party of ten calling somewhere else. Here is what AI already does about it for places like yours, with sources you can check.
YOUR WEEK, REPLAYED
TODAY It rings four times and stops. That was a six-top for Saturday.
WITH MOTE OPS An agent answers, takes the reservation, and answers the parking question, in English or Spanish, while your staff runs plates.
TODAY The 7 o'clock never shows. The table sits dead through your best hour.
WITH MOTE OPS Reminder texts with a one-tap cancel link went out yesterday. Cancellations come back in time to resell the table.
TODAY You guess next week's produce order from memory and hope.
WITH MOTE OPS The forecast reads your sales history, the weather, and the game schedule, and suggests the order item by item.
WHAT'S ALREADY WORKING IN YOUR BUSINESS
WHAT'S POSSIBLE Examples of what current tools do in your business, not Mote Ops client results. The numbers come from the linked vendors and surveys.
Phone agents built for restaurants take reservations, answer common questions, and can take orders into the POS. One family-owned Italian restaurant in Chicago cut missed calls 35%, handling calls in two languages.
Automated confirmation and reminder texts cut no-show rates from a typical 12 to 18% down to roughly 4 to 7%. Resy restaurants average 2.9%, and Resy's screening cut bot- and broker-caused no-shows 90% year over year.
Operators using forecast tools report 96 to 97% sales-forecast accuracy; Chipotle cut waste about 30% with predictive ordering. US restaurants lose over $25 billion a year to preventable food waste.
Scheduling software forecasts each shift's sales from your history, local events, and weather, then builds the schedule to match. Users report labor costs down around 15%.
A bad night's 2-star review gets a drafted response in your voice for you to approve, instead of sitting unanswered for a month.
Check it yourself: peak-hour call data · Resy · ReFED waste figure · 7shifts
TRY THE CONTROL YOU'D KEEP
"Hi Marcus! Confirming your table for 4 tomorrow at 7pm at Canela. Reply YES to confirm, or tap here if plans changed so we can offer the table to someone else. See you soon!"
Fictional guest, sample draft, nothing connects to a real reservation book. This is the pattern: the system does the writing and the waiting, you do the deciding.
WHERE I'D START WITH YOUR RESTAURANT
It attacks the most visible leak first, works with the booking system you already use, and the empty-table math shows up within weeks. When the evidence says it earned it, the rush-hour phone is usually next. If your real bottleneck is something else, that's what the first conversation is for.
THIRTY MINUTES, ONE PROBLEM, NO CHARGE
If I'm not the right person to help, I'll tell you. If AI isn't the right answer, I'll tell you that too.