Your Next Sous-Chef Might Be an Algorithm
What AI can and can’t do for restaurants By Daniel Angerer | 4-minute read
Restaurant margins have never been generous. Today, they’re razor-thin. Labor keeps climbing, food prices refuse to sit still, and operators are asked, once again, to do more with less: control costs, sharpen efficiency, deliver exceptional hospitality and somehow find a few extra points of profit along the way.
Easier said than done.
So when artificial intelligence arrives in the kitchen, the dining room and even the drive-thru, it deserves a serious look. And unlike the sous-chef who calls out on a Saturday night, this one never needs a day off.
What makes this moment different is that AI is no longer reserved for executives studying spreadsheets. It’s becoming a practical assistant for chefs, servers, hosts and managers, and much of it is available today.
In the Kitchen: Less Guesswork, Better Margins
Ask any executive chef what keeps them up at night, and the answer rarely changes: food cost, labor, waste, and whether they ordered enough chicken for Friday.
AI is beginning to address all four.
Tenzo, newish to the US market uses sales data to forecast demand. Restaurant365 and MarginEdge, two platforms I’ve worked with closely, automate purchasing, inventory and recipe costing so operators see their numbers in days, not weeks. Winnow , which is terrific for hotels, goes a step further, using cameras to identify exactly what’s being thrown away.
Imagine learning that your kitchen overproduces fifteen pounds of mashed potatoes every Thursday. Instead of finding out in the garbage, your chef adjusts the prep list before the waste happens.
That isn’t futuristic. It’s simply better management.
AI can also support recipe development, ingredient substitutions, allergen documentation and menu engineering.
It still can’t taste the sauce, though. And I wouldn’t trust it to season my steak. Not yet.
In the Dining Room: Smarter Service, Warmer Hospitality
Great hospitality has always depended on people remembering people: the regular who loves the corner table, the guest who orders sparkling water before opening the menu, the couple quietly celebrating an anniversary.
Platforms like SevenRooms organize guest preferences, visit history and spending patterns. Paired with AI, that information can become a simple briefing before a server ever reaches the table:
Returning guest. Prefers Pinot Noir. Celebrating an anniversary.
Last visited three months ago. He loves our tiramisu.
That’s powerful. But the distinction matters.
AI provides the intelligence. The server delivers the hospitality.
Technology should make service more personal, never more robotic. Hospitality is the new luxury. In a world increasingly driven by AI and automation, genuine human connection is becoming one of the most valuable thing a restaurant can offer.
At the Counter and on the Phone
In quick service, AI-assisted ordering can suggest the natural additions: the fries, the drink, the signature sauce. It’s classic suggestive selling with better timing. Companies like Hi Auto have built conversational AI for drive-thru ordering, handling routine orders so staff can focus on guests.
Then there’s the phone, the most overlooked revenue leak in the business. Reservations, hours, directions, private events: every unanswered call during service is a guest you may never meet. Slang.ai answers those routine questions automatically, freeing hosts to focus on the people standing in front of them.
But the economics matter. An AI system that costs more than the labor it saves isn’t innovation. It’s another expensive subscription.
The Real Opportunity: Small Gains, Scaled
Here’s where AI earns serious attention.
Take a hypothetical restaurant doing $5 million in annual sales. If better forecasting and purchasing reduce food cost by just one percentage point, that’s $50,000 a year. Improve labor efficiency by another point, and that’s another $50,000.
That’s $100,000 in additional operating profit, assuming sales and other costs stay the same and before software fees, from two modest improvements.
Across 20 restaurants, that’s potentially $2 million.
Nothing here is guaranteed. But it shows why AI matters: not because it’s fashionable, but because small improvements become significant at scale.
The Biggest Mistake an Operator Can Make
After more than 20 years of building and running restaurants, I’ve learned one thing clearly:
Technology doesn’t fix broken operations.
If your recipes aren’t standardized, your inventory is inaccurate, your managers are undertrained and your schedules are chaotic, AI won’t save you. It will simply help you make bad decisions faster.
Before adding another platform, ask four questions:
What specific problem are we solving?
How much time or money will it save?
Will our team actually use it?
How will we measure the return?
The winners won’t be the restaurants using the most AI. They’ll be the ones that build it into strong operating systems.
The Future of Hospitality Is Still Human
Restaurants are emotional businesses.
No one celebrates an anniversary because of an elegant inventory algorithm. No one returns to a favorite neighborhood spot because its labor forecasting is exceptional.
They return because someone remembers their name, the food is wonderful and they feel genuinely welcome.
AI should help restaurant teams create more of those moments: less paperwork, less waste, better preparation, smarter decisions and more time for hospitality.
The future isn’t AI replacing restaurant people. It’s great restaurant people becoming even better with AI.
And if it finally retires the weekly inventory spreadsheet from hell? I’m all for it.
Ready to put AI to work in your restaurants, the right way? I help operators build the systems first, then choose the tools that actually pay for themselves.
👉 Let’s talk
Daniel AngererRestaurant Scaling Architect & Culinary Innovation Consultan Real hand-on help. Helping restaurant companies build stronger operating systems, improve profitability and scale without losing their hospitality DNA.
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