What's Going on With AI in Restaurants?

Restaurants use AI to analyze data, automate tasks, and improve decisions across daily operations. For many operators, that doesn’t mean robots replacing staff. Instead, artificial intelligence tools can support reporting, forecasting, marketing, menu updates, and labor planning.

Restaurant operators are also becoming more comfortable with AI as a practical business tool. And the numbers prove it: in Q1 2026 alone, Toast data shows that more than 179,000 users across 125,000+ restaurant locations actively used Toast IQ, Toast's AI assistant, in just 90 days. That's everyday operations.

In this guide, you’ll learn what AI can do for restaurants, where it fits into daily operations, and how to start using AI without overwhelming your team.

Key takeaways

• AI can help restaurants analyze data, automate routine tasks, and make faster decisions across daily operations.

• Restaurants can use AI to support reporting, forecasting, menu updates, marketing, labor planning, and guest engagement.

• AI works best when it has access to connected restaurant data from systems like POS, inventory, ordering, marketing, and guest platforms.

• Restaurants should start with one practical AI use case, measure the results, and expand once the workflow proves useful.

• In Q1 2026, the #1 most-used AI prompt among restaurant operators was: "Create a short, easy-to-read daily briefing for my restaurant."

What can AI do for a restaurant?

Instead of manually digging through reports or guessing what to do next, operators can use AI tools to analyze restaurant data and surface recommendations that are easier to act on. As Savory Fund CEO Clay Dover told QSR Magazine, AI is already helping restaurant teams complete operational tasks faster:

• Analyze business data: Review sales, labor, menu, and guest data to identify trends and performance patterns.

• Create marketing content: Generate email campaigns, menu descriptions, social media posts, promotional copy, and other customer-facing content.

• Recommend operational changes: Suggest menu updates, upsell opportunities, pricing adjustments, and item availability changes based on restaurant data.

• Forecast demand: Help operators plan for expected sales, staffing needs, inventory requirements, and busy periods.

• Summarize guest feedback: Review surveys, online reviews, and customer comments to identify recurring issues or positive trends.

• Automate routine tasks: Support campaign creation, reporting, menu updates, operational summaries, and other time-consuming admin work.

• Answer business questions: Ask plain-language questions about performance instead of manually searching through dashboards.

Real-world data backs this up. In Q1 2026, the top prompts operators used with Toast IQ reveal a clear pattern: they want AI to distill complexity into clear, actionable summaries:

• "Show me my 2025 year in review." — used by 24% of restaurants

• "Create a short, easy-to-read daily briefing for my restaurant." — used by 15% of restaurants

• "Show me today's gross sales and highlight variances from yesterday and the same day last week." — used by 12% of restaurants

• "Refresh my menu items." — used by 12% of restaurants

How does AI fit into restaurant operations?

AI can support different parts of a restaurant, from forecasting and reporting to marketing and guest engagement. But it works best when it has access to connected data from across the business, including POS, ordering, labor, inventory, menu, and guest systems.

With a connected POS system like Toast, AI can analyze real restaurant data, surface useful trends, and recommend actions based on what’s going on. As Kim Beechner, founder and CEO of Embark Marketing, explained:

Real operator usage data from Q1 2026 shows exactly where AI is fitting in:

Front of house

AI can help restaurants improve guest-facing workflows by making ordering, communication, and service more personalized and efficient.

• Ordering recommendations: AI order technology can suggest relevant add-ons, upgrades, modifiers, or repeat orders based on guest behavior and order patterns.

• Digital ordering support: AI-powered insights can help restaurants understand which ordering channels guests use most and where friction may be slowing down checkout.

• Guest communication: AI and automation can help restaurants send more timely messages around reservations, waitlists, confirmations, promotions, and follow-ups.

• Waitlist and reservation insights: Guest data from tools like Toast Tables can help restaurants understand visit patterns, no-shows, turn times, and guest preferences over time.

• Service improvements: AI can help identify patterns in ticket times, order accuracy, guest feedback, and service flow so operators can spot issues faster.

Back of house

Artificial intelligence can also support behind-the-scenes operations by helping restaurants understand inventory, food costs, prep needs, and menu availability.

• Inventory visibility: AI and automation can help operators track ingredient usage, purchasing trends, and stock levels more accurately.

• Prep planning: Forecasting tools can help teams prepare for expected demand without overproducing.

• Food cost tracking: Tools like xtraCHEF by Toast can help connect invoice data, recipe costing, and purchasing activity to improve food cost visibility.

• Waste reduction: Better forecasting and inventory visibility can help reduce over-ordering, spoilage, and unnecessary waste.

• Menu availability updates: Toast IQ can help operators mark items in or out of stock and update menu details across connected channels.

• Kitchen performance insights: AI can help operators identify bottlenecks, ticket time patterns, or menu items that may be slowing down service.

Management

With AI, operators and managers can turn restaurant data into clearer insights and faster decisions.

• Sales analysis: Identify sales trends by item, channel, location, daypart, or season.

• Forecasting: Support planning around traffic, sales, inventory, staffing needs, and local demand shifts.

• Labor planning: AI-powered labor tools can help managers turn forecasts into smarter schedules.

• Menu analysis: Toast IQ can help operators identify best sellers, slow movers, and items that may need updated names, descriptions, pricing, or availability.

• Plain-language reporting: Toast IQ can help operators ask questions about their business and surface trends without manually digging through dashboards.

• Operational recommendations: AI can highlight patterns and suggest next steps, helping managers act faster instead of simply reviewing reports.

In Q1 2026, the most-used single prompt, "Create a short, easy-to-read daily briefing for my restaurant,” was used by 15% of all Toast IQ restaurants. This confirms that management's #1 AI use case is turning operational complexity into a fast, readable daily snapshot.

Marketing and guest engagement

Instead of manually guessing who to email, what offer to send, or when to launch a campaign, AI can analyze guest behavior and help operators create outreach based on real customer patterns.

• Campaign ideas: Suggest campaign opportunities based on sales trends, slow days, guest behavior, or menu performance.

• Audience segmentation: Identify groups like first-time guests, loyal regulars, lapsed customers, high spenders, or guests who order specific menu items.

• Message generation: Draft email, SMS, and promotional copy so operators are not starting from a blank page.

• Personalized offers: Tailor promotions based on order history, visit frequency, favorite items, or engagement patterns.

• Re-engagement campaigns: Spot guests who have not visited recently and suggest offers to bring them back.

• Campaign performance analysis: Understand which campaigns drove clicks, orders, repeat visits, or revenue.

• AI-assisted growth support: Toast IQ Grow’s AI Marketing Agent is trained on POS and guest data to help create targeted campaigns, while a Marketing Success Manager can review content, publish campaigns, and help operators understand what is working.

This is clearly resonating: 32% of restaurants using Toast IQ in Q1 2026 initiated conversations about guests and marketing, making it the third most common topic operators explored.

Multi-location operations

For restaurant groups and multi-unit operators, AI helps compare performance and improve consistency across locations.

• Benchmarking: AI-supported benchmarking can help you compare performance across similar locations, concepts, or markets.

• Local market trends: Toast IQ can help identify local demand patterns, competitive shifts, and market-specific opportunities.

• Performance comparisons: Use AI to compare sales, labor, menu performance, and marketing results across units.

• Consistency across units: Easily spot locations that are overperforming, underperforming, or drifting from operating standards.

What's keeping operators up at night: Margin protection

Beyond growth, one of the clearest emerging use cases for restaurant AI is protecting margins. Operators are turning to AI to get ahead of cost problems in real time.

In Q1 2026, Toast analyzed keyword searches in Toast IQ to understand where operators were worried about things going wrong. The picture is clear: from labor costs to comped meals to overall profitability, operators want AI watching their bottom line.

• 13% of restaurants asked for help with labor costs and efficiencies

• 12% of restaurants asked about voids, comps, and loss prevention

• 5% of restaurants asked about costs and profitability

• 4% of restaurants raised concerns about check sizes

How to start using AI without overwhelming your team

Restaurants do not need to use AI everywhere at once. The best approach is to start with one workflow where AI can save meaningful time, improve decision-making, or drive measurable revenue, then expand once your team understands how the technology fits into daily operations.

• Start with one AI use case: Choose a focused workflow like marketing campaigns, menu updates, reporting summaries, guest segmentation, or forecasting.

• Use AI where it has useful data: AI works best when it can learn from real restaurant information, such as POS data, guest behavior, sales trends, or menu performance.

• Prioritize repetitive work: Start with tasks like drafting campaigns, summarizing performance, identifying customer segments, or generating menu descriptions.

• Keep humans in control: AI can suggest, draft, analyze, and summarize, but managers should still approve messaging, pricing, menu changes, and operational decisions.

• Train your team on AI boundaries: Make sure managers know what the tool can do, what it cannot do, and when to double-check outputs before taking action.

• Measure the impact: Track time saved, sales lift, campaign revenue, click-through rate, repeat visits, guest engagement, or reduced manual reporting time.

• Scale what works: Once one AI workflow proves useful, consider how you can expand on it.

Not sure where to start? The data tells you. According to Toast IQ data, the top starting point operators returned to again and again was a daily briefing — a short, plain-language summary of what happened yesterday and what needs attention today. It's simple, it's actionable, and it saves real time every single morning.

Keep the hospitality, lose the busywork

Incorporating AI into your restaurant operations doesn’t have to mean a complete overhaul of your systems and workflows. 

In many cases, it simply helps teams save time, spot useful patterns, and make everyday decisions with more confidence. As Jim Dausch, a Yum Brands technology leader, told Restaurant Dive:

The best place to start is with one clear workflow, such as marketing, menu updates, reporting, or forecasting. Once your team sees what works, your restaurant can build from there and keep improving over time.

The proof is already there: 33,000 times in Q1 2026, restaurant operators said "please" or "thank you" to their AI assistant. Just 196 used an F-bomb. Whatever your team's relationship with technology, it's clear that AI in restaurants is already a polite, productive, and everyday conversation.

FAQs

What is AI in restaurants?

AI in restaurants refers to artificial intelligence tools that help operators analyze data, automate tasks, and make faster decisions across areas like reporting, forecasting, marketing, menu management, labor planning, and guest engagement.

How can AI improve restaurant operations?

AI can improve restaurant operations by helping teams spot trends, forecast demand, summarize guest feedback, create marketing campaigns, update menus, and surface recommendations based on real restaurant data.

What are restaurants actually using AI for most?

Based on Q1 2026 data from 125,000+ restaurant locations, the most common AI use cases are sales and revenue analysis (47%), menu and inventory management (34%), guest and marketing (32%), and operations and reporting (29%). The single most-used prompt: "Create a short, easy-to-read daily briefing for my restaurant."

What are examples of AI tools for restaurants?

Examples of AI tools for restaurants include reporting assistants, marketing agents, forecasting tools, guest segmentation tools, menu optimization tools, review summary tools, and ordering recommendation systems.

Is AI affordable for small restaurants?

AI can be affordable for small restaurants when it’s built into the systems they already use, such as POS, reporting, marketing, menu management, and operations tools.