Owner OS for multi-unit restaurant groups
Alarms for multi-unit restaurant groups
“By the time the P&L shows one store's food cost or labor was off, I have already lost a month of margin there.”
Each location runs its own kitchen, schedule, and vendor deliveries, and margin is a few points either way. The POS knows what sold, the scheduling app knows who worked, and the invoice tool knows what you paid, but they rarely meet until the monthly P&L. By then a price increase, a heavy schedule, or a comp habit at one store has already cost you weeks.
Eight alarms we build for multi-unit restaurant groups
- Food cost creep by locationCompare actual to theoretical food cost per location every week, by category, so the store drifting high gets noticed while you can fix it.
- Labor running ahead of salesCompare next week's schedule to forecast sales and reservations per location, and track labor percentage by daypart, so schedules match the business.
- Vendor price increases on key itemsCompare every invoice line on your top items to the last price and the agreed price, across locations, so price creep gets challenged fast.
- Comps and voids anomaliesCompare comps, voids, and discounts per server, manager, and location to their peers and history, so odd patterns surface while they are fresh.
- Review rating dropsRead every new review across your locations each morning, spot repeated complaints, tie them to service days, and have reply drafts ready.
- Reservation no-show patternsTrack no-shows and late cancels by day, time, party size, and booking channel per location, so deposits and overbooking go where they matter.
- Overtime building mid-weekProject who will cross your overtime threshold before the week ends, including staff who work at more than one location, so you can shift hours.
- Menu item margin slippingRecalculate plate cost for every menu item from the latest invoice prices and compare it to menu price, so you reprice or re-spec before margin fades.
Reads from the tools you already use
- Toast
- Square
- 7shifts
- MarginEdge
- OpenTable
- Resy
- QuickBooks Online
- Google Business Profile
- Yelp
Read-only by default. A guardrail layer controls exactly which data the AI can see, and anything that sends, spends, or deletes needs your approval.