Table of Contents
The Short Version: AI That Pays Rent
Updated August 2026. Figures are from 2026 sources unless a year is noted.
Restaurants do not have room for expensive toys. In the National Restaurant Association’s State of the Restaurant Industry 2026 (released February 2026), 42% of operators said their restaurant was not profitable, even as industry sales hit a record $1.55 trillion. On a 5% margin, a tool either moves a number on your P&L or it goes. So the useful question is not “what can AI do for restaurants,” it is “which line on my P&L does AI actually move.” The honest answer in 2026: the biggest, most measurable wins are in the back of house (labor and food), where the money leaks, not at the drive-thru speaker, where the headlines are. This guide sorts the tools that way. It sits alongside our wider guide to AI tools for business for operators running lean.
The bottom line
- Start in the back of house. Labor and food are your prime cost (roughly 55 to 65% of sales), and that is where AI has the clearest payback. Among operators using AI, 61% report lower food costs and 62% report lower labor costs (Restaurant365, mid-2026).
- Make every tool pay rent. With 42% of restaurants unprofitable, pilot one tool against one number and cut it if it does not move.
- Guest-facing voice AI is real but not autonomous. It is scaling fast at the drive-thru, but accuracy still trails a good human and most guests still prefer one, so keep a person in the loop.
AI adoption in restaurants surged in the first half of 2026
Here is the toolkit at a glance, grouped by the job it does. Prices and free tiers change, so confirm before you commit.
| Tool | Job | Best for |
|---|---|---|
| Nory | Labor + food (prime cost) | Forecasting, scheduling, and inventory in one |
| ClearCOGS | Food / forecasting | Predicting demand to cut over-ordering |
| Winnow | Food waste | Camera-based waste tracking in the kitchen |
| Toast (Toast IQ) | POS + analytics | An AI assistant on top of your POS data |
| SoundHound | Voice ordering | Enterprise drive-thru and phone at scale |
| Slang.ai | Phone answering | Full-service restaurants missing calls |
| Loman.ai | Phone / orders | Independents and small QSRs |
| SevenRooms | Guest CRM | Reservations and regulars (now DoorDash-owned) |
| OpenTable | Reservations | Discovery plus its Concierge AI assistant |
| EatApp | Reservations | A lower-cost guest-management option |
Your Two Biggest Costs: Labor and Food
Labor and food together make up your prime cost, and if it drifts above about 65% of sales the math stops working. This is exactly where AI is being adopted fastest and where the payback is easiest to see. In Restaurant365’s mid-2026 survey, 87% of operators reported higher food costs and 77% higher labor costs in the first half of the year, which is the pressure driving the shift.
What restaurant operators using AI report
Nory is the clearest example of the category: an AI platform built around prime cost that forecasts demand, builds labor schedules to match, and manages inventory, with the pitch aimed squarely at cutting labor and food waste. ClearCOGS focuses on demand forecasting so you stop over-ordering, and Toast IQ puts an AI assistant on top of the POS data most restaurants already sit on. On the waste side, Winnow uses a camera and scale over the bin to track exactly what gets thrown away; it reports deployments at more than 3,500 sites, and independent research on AI waste-tracking devices found waste reductions around 54% in restaurant settings (a 2025 peer-reviewed study, the strongest evidence available). None of this is glamorous. It is also where the money is.
The Orders You Never Hear
Every unanswered phone during a rush is a lost order, and this is the guest-facing use where AI is scaling fastest. Voice AI now answers phones and drive-thru speakers, takes the order, handles customizations, and drops it straight into the POS.
SoundHound is the enterprise player: it reports powering voice and conversational AI at more than 15,000 locations and handling over 21 million guest interactions for the convenience chain Casey’s alone. For full-service restaurants that mostly lose orders to unanswered phones, Slang.ai answers every call, books tables, and answers FAQs; it raised a $36 million round in early 2026 to expand across the category. Loman.ai targets independents and small quick-service spots, taking phone orders end to end including payment. At the top end, chains are going all in: Taco Bell has expanded drive-thru voice AI to roughly 900 US restaurants. The voice and response layer here overlaps with the broader AI communications tools other customer-facing teams use. The catch, covered below, is that fast is not the same as flawless.
The Table and the Regulars
Filling seats and bringing guests back is the other half of the P&L, and AI has quietly moved into reservations, guest data, and the new ordering channels. Marketing is actually the single most common place restaurants use AI today, at 19% of full-service and 15% of limited-service operators.
SevenRooms, now owned by DoorDash, builds a profile of every guest so you can recognize regulars, cut no-shows, and target offers; it added AI features for review responses and guest notes in 2026. OpenTable put its Concierge AI assistant front and center across its network of tens of thousands of restaurants, and EatApp offers a lower-cost route to the same guest-management basics. A genuinely new 2026 channel is worth watching: Square added direct ordering from ChatGPT and Claude, so a guest can place an order inside an AI assistant and have it flow into the restaurant’s POS. For everyday marketing and menu copy, plain ChatGPT remains the cheapest useful tool most owners already have. These guest-data techniques are close cousins of the platforms that strengthen customer success in other service industries.
Where Guests Push Back
Here is the caveat that separates a smart rollout from an expensive mistake: the moment AI touches the guest, it can cost you more than it saves. Two things are true at once. Chains are deploying voice AI aggressively, and most customers still do not want it. In a YouGov survey, only 4% of Americans said they would prefer to order from an AI chatbot while 55% preferred a human (a February 2025 poll, the clearest preference data available), and broad consumer trust in AI remains low. Accuracy is also uneven, and a mistake at the speaker box is public, which is why the industry is converging on hybrid setups where AI takes the order and a person steps in when confidence drops.
The cautionary tale is Presto, once a heavily promoted drive-thru voice AI vendor. It was delisted from Nasdaq in 2024, charged by the SEC over misleading claims about its AI, and sold out of distress. McDonald’s pulled its own AI drive-thru test from more than 100 restaurants in 2024 after viral misfires, then returned in 2026 with a new Google-powered system. The lesson is not “avoid AI.” It is that guest-facing automation is the hardest place to get it right, which is exactly why the 42%-unprofitable math points you to the back of house first. Only 6% of restaurants currently use AI for customer orders, and that caution is rational.
Does It Actually Pay for Itself?
Most restaurant AI tools run on a subscription, commonly in the low hundreds of dollars per month per location, with enterprise voice systems costing more. On a thin margin, the test is simple: does the tool move a number you can measure? Pick your single biggest leak, usually labor scheduling or food waste, and put one tool against it for a real month.
42 of every 100 US restaurants were not profitable
A practical rollout: choose the back-of-house cost that hurts most, run one tool in one location, and track a hard KPI (food waste percentage, labor as a share of sales, or hours saved per week). Involve the team early, because the operators seeing results describe AI as removing repetitive work rather than replacing people, freeing staff to focus on food and guest service. Keep what pays rent. Cancel what does not. That discipline, not the number of tools you buy, is what turns AI from an expense into margin.
Frequently Asked Questions
What is the best AI tool for a restaurant in 2026?
There is no single winner, because the payback depends on your biggest cost. For labor and food (prime cost), Nory and ClearCOGS lead; for kitchen waste, Winnow; for missed phone orders, Slang.ai or Loman.ai; for reservations and regulars, SevenRooms or OpenTable. Most operators start with one back-of-house tool and expand only after it proves out.
Does AI actually save restaurants money?
For back-of-house use, yes, on the evidence so far. In Restaurant365’s mid-2026 survey, among operators using AI, 61% reported lower food costs, 62% lower labor costs, and 88% weekly time savings. The gains come from forecasting, scheduling, and waste tracking, not from replacing staff.
Should I put AI at my drive-thru or phone?
Cautiously. Voice AI is scaling fast (Taco Bell alone runs it at roughly 900 restaurants) and answering a missed phone is found revenue, but accuracy still trails a good human and most guests prefer a person. Use a hybrid setup where a human can step in, and pilot it before committing.
Is AI too expensive for a small restaurant?
Not usually. Many tools run in the low hundreds per month per location, and some, like ChatGPT for menu and marketing copy, are nearly free. With 42% of restaurants unprofitable, the rule is to make each tool pay for itself against one measurable number before you keep it.
Will AI replace restaurant staff?
Mostly it shifts work rather than removing it. Operators describe AI as taking over repetitive tasks like data entry, forecasting, and order intake, which frees workers to focus on food and service instead.
Sources
- National Restaurant Association, State of the Restaurant Industry 2026 (released 12 February 2026: 42% of operators not profitable; $1.55 trillion in sales). Retrieved 3 August 2026.
- Restaurant Dive, NRA: Over 25% of restaurant operators use AI (18 February 2026: 26% use AI; 6% for customer orders; marketing the top use). Retrieved 3 August 2026.
- Restaurant365, 2026 State of the Restaurant Industry: Mid-Year Report (69% using or piloting AI; among AI users 61% lower food costs, 62% lower labor costs, 88% weekly time savings). Retrieved 3 August 2026.
- Restaurant Technology News, SoundHound AI Brings Voice and Agentic AI to Restaurant Ordering (June 2026: 15,000+ locations; 21M+ interactions for Casey’s). Retrieved 3 August 2026.
- YouGov, America doesn’t want AI chatbots in their drive-thrus (25 February 2025; consumer-preference data, cited as the clearest available and dated). Retrieved 3 August 2026.
- ScienceDirect, Reducing food waste in the HORECA sector using AI-based waste-tracking devices (2025 peer-reviewed study: ~54% waste reduction in restaurants; cited as the strongest evidence, no 2026 equivalent). Retrieved 3 August 2026.
Richard Johnson
Richard Johnson is an AI specialist with over five years of experience guiding large organizations through AI adoption, across more than 100 customers. He founded CognitiveFuture to research and compare AI tools across design, development, writing, research, voice and business, cutting a crowded, fast-moving market down to the right choice for the job in front of you.