How Restaurants Are Using AI to Protect Margins in 2026
by Chelsea Figurski
Restaurants have spent the last handful of years adopting new technologies, from QR codes, online ordering apps, and third-party delivery tablets, all to make the business easier to run. As a result, many are now running six or seven tools that have ultimately just become systems that don’t talk to each other.
If you’re protecting margins this year, you’re probably doing two things: consolidating your systems, and putting AI where it actually earns its keep. Two trends are standing out:
- AI co-pilots that help managers staff smarter
- Tablet aggregation paired with direct ordering
These may seem like technology concepts, but in reality, they both are part of the larger margin conversation. Here’s what each looks like in practice.
AI co-pilots for shift managers
Shift managers have historically made staffing and prep decisions based on gut feelings and years of Tuesday lunch rushes and rainy Saturday nights. That experience is real; it’s just not something a new manager can inherit overnight. When a long-term manager leaves, so does the knowledge and instinct for how many line cooks a Friday in July needs.
POS platforms like Toast, Square, Aloha, and Micros have built-in AI co-pilots that help fill this gap. These systems pull from:
- Historical sales data by day part and day of week
- Local weather forecasts
- Nearby events that affect foot traffic
That data predicts hourly demand and hands new managers a staffing plan to start from, instead of a shrug and a schedule template. From there, the same tools ping a manager the moment labor starts creeping past what sales can support.
Restaurant groups running centralized AP across decentralized, location-by-location operations know the tension: corporate can standardize invoicing and vendor terms with Ottimate, but no software can stand in every kitchen making staffing calls in real time. Corporate can standardize invoicing and vendor terms with Ottimate, but it still can’t stand in every kitchen making staffing decisions. AI-assisted shift management is one of the few levers that imposes consistency across locations without adding corporate headcount.
Tablet aggregation and direct ordering
DoorDash and Uber Eats charge commission per order, and the rate only goes up the more visibility a restaurant pays for: pay to play, basically. For a full-service restaurant already working with thin prime costs, that commission comes straight off whatever margin was left before the order even hit the kitchen. Every order that could have come through the restaurant’s own channel is margin left on the table.
Operators have responded with direct online ordering, built through their own websites and apps, that captures orders without a third-party cut. It’s not a new idea, but operators are finally spending real money to make it painless — fast checkout, saved payment info, loyalty baked in — because margin they can actually control is worth paying for.
For orders that still have to go through DoorDash or Uber Eats, tablet aggregation at least means the kitchen isn’t staring at four tablets going off at once.
- Missed or delayed orders during peak hours
- Ticket errors from staff toggling between devices
- A pass with four tablets bolted to it, none of which anyone remembers unboxing
Fewer third-party intermediaries also benefit the back office. In Ottimate, that means fewer vendor relationships to manage, cleaner invoice reconciliation, and less time spent chasing credits from delivery platforms.
What this means for your finance team
The restaurants ahead in 2026 aren’t the ones with the most software. They’re the ones ruthless about cutting whatever doesn’t earn its keep, starting with whatever AP tool still has someone keying in invoices by hand.
Better data on the operations side only pays off if the finance side has equally reliable data, which is the half of the equation Ottimate is built for. A controller can trust the food cost percentage much more when invoices are coded automatically instead of by hand.
The State of AP Maturity 2026: Hospitality Edition
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Want to see how restaurant AP teams are benchmarking invoice processing time and food cost accuracy? Che.ck out our report
