How AI Can Make Your Restaurant More Efficient in 2026

AI can help restaurants run more efficiently by helping operators forecast demand, reduce waste, automate repetitive admin, improve order accuracy and act on POS data faster. Toast’s latest research on AI in restaurants highlights the restaurant use cases gaining the most traction, including forecasting, faster ordering, menu recommendations, stock control and workflow automation.

While the US restaurant industry is still growing in 2026, margins remain tight, which makes AI a practical tool for improving efficiency. At its core, it’s about using data to make faster, better decisions across service, staffing, stock and guest experience

What Are the Main AI Applications for Restaurants?

Several AI applications can boost restaurant efficiency when used well. The most important include:

• forecasting and demand planning
• streamlining phone orders, reservations and guest questions
• menu optimization and upselling
• inventory control and waste reduction
• labor and back-office automation

This represents a vital efficiency lever in 2026 because restaurants are still operating under heavy margin pressure: the National Restaurant Association reports that more than nine in 10 operators cite food, labor, insurance, energy, and swipe fees as significant challenges.

Food and labor each account for roughly 33 cents of every sales dollar at a typical independent restaurant.

1. AI can improve forecasting and demand planning

Forecasting is one of the clearest AI use cases for restaurants because it turns historical sales data into better staffing and purchasing decisions. In practice, this means AI can analyze item-level POS sales, dayparts, weekdays, seasonality, promotions, local events and channel mix to predict busy shifts, prep levels and likely ingredient usage.

For operators, this is one of the easiest ways to tie AI directly to efficiency. Instead of relying on intuition alone, AI can identify demand patterns, compare them against current trading conditions and turn them into practical decisions around staffing, prep and purchasing. When forecasts are more accurate, managers can schedule smarter, prep more precisely and avoid the costly cycle of waste on one day and stockouts on the next.

The Toast® POS platform features an intelligence layer called Toast IQ™. The Toast IQ™ AI Assistant included with the POS purchase surfaces sales, labor, and menu insights, while factoring in contextual signals such as local weather and events. This is designed to help businesses anticipate demand, spot unusual sales swings, and check whether staffing levels match likely demand.

Recent evidence suggests this is already moving beyond theory: in Deloitte’s latest survey of 375 restaurant executives from 2025, 55% use AI in inventory daily, and another 25% said they are piloting it, with forecasting and predictive analytics highlighted as common ways to minimize waste and improve purchasing decisions.

2. AI can streamline phone orders, reservations and guest questions

AI is increasingly useful for handling routine phone traffic, especially when staff are tied up during service. And any restaurant operator will know that missed calls are missed revenue.

A well-configured AI phone agent can easily focus on repetitive calling tasks such as answering FAQs, capturing reservations and routing simple takeout orders, while escalating more complex edge cases to a human (such as complaints, allergies or large bookings). This can reduce pressure on front-of-house teams without damaging guest experience.

For example, Toast POS integrates with SoundHound for Restaurants, an automated voice assistant that can take phone orders, answer common business questions, handle multiple calls at once, and inject orders directly into your Toast POS system.

This all lines up with Deloitte’s latest restaurant research, which found that 60% use chatbots daily and another 27% said these tools are in pilot stage, often for order-taking, reservations and customer service support.

3. AI can improve menu optimization and upselling

AI can help restaurants sell the right items more often by spotting menu patterns humans miss. Inside a POS workflow, this can mean identifying which items are underperforming, recommending pairings, flagging weak descriptions or surfacing higher-margin upsell opportunities.

This is where restaurant AI is becoming more useful in 2026. An integrated POS AI can help teams adjust menus, refine modifiers, suggest pairings and push more relevant recommendations at the point of sale. For busy operators, that means fewer guesswork decisions and better use of live sales data.

For example, the Toast IQ™ Assistant can analyze sales data to recommend high-performing menu item pairings, suggest opportunities for automated upsells in server workflows, and identify low-selling dishes to help operators make smart menu decisions. Operators can also manage select menu updates directly through Toast IQ™, including item names, descriptions, and modifiers.

Deloitte’s latest restaurant survey found that 63% use AI to enhance customer experience, including recommendation tools, such as in-app or in-kiosk suggestion engines, which shows that personalization and guided upselling are already moving into mainstream restaurant tech.

4. AI can reduce inventory waste and improve stock control

Inventory is one of the most valuable AI applications because small stock errors multiply into real margin loss. A connected POS can use sales patterns and stock movement to help restaurants mark items out of stock, adjust counts, flag depletion risk and improve purchasing accuracy.

This becomes even more useful for restaurants selling through dine-in, pickup, delivery and catering at the same time. One outdated stock count can create a chain of order errors across channels. AI helps reduce that risk by making stock updates faster, more accurate and easier to maintain.

For example, Toast gives operators a few more concrete ways to do this. Toast IQ™ allows operators to mark items in or out of stock and request stock count updates directly through chat, while xtraCHEF by Toast combines invoice automation, recipe costing and Toast POS sales data to support inventory management and profitability tracking.

AI-assisted stock control also addresses a very real financial problem: according to the National Restaurant Association, restaurant input costs have risen 30% since before the pandemic, which makes tighter stock control and waste reduction more commercially important than ever.

5. AI can automate labor and back-office admin

AI improves restaurant efficiency when it removes the repetitive but critical admin tasks that can eat away at a manager’s time. That efficiency often shows up in shift management, payroll adjustments, marketing and reporting.

This type of AI is especially useful because it acts inside existing workflows, instead of forcing operators to export data into separate tools and manage everything manually. For restaurant managers, that means less time spent cleaning up admin and more time focused on service, staff, and performance.

For example, Toast offers a more specific version of this through both Toast IQ™ and Toast ® Payroll. Toast IQ™ can help operators review auto-clockouts and coordinate shift management directly from the chat, while, once enabled, Toast Payroll automatically syncs hours worked, shift edits, breaks and tips from Toast POS into payroll, helping operators save admin time and reduce potential manual payroll errors.

That direction is consistent with broader industry investment: Deloitte found that eight in 10 expect AI investment to rise, with many saying they expect the biggest benefits to include smoother operations, stronger customer experiences, and better procurement and supply chain management.

What Are the Benefits of AI in Your Restaurant Business?

The main benefit of AI in restaurants is not in replacing staff. It is in helping teams make better decisions faster. That shows up in several clear ways:

• Lower labor pressure: AI can handle repetitive calls, routine admin and shift adjustments, freeing managers and front-of-house staff to focus on service.
• Better purchasing decisions: Forecasting and stock tools can reduce over-ordering and shrink waste.
• More consistent service: AI can speed up order-taking, suggest upsells and keep menus and availability accurate across channels.
• Faster decision-making: Operators can turn raw POS data into actions, not just reports.
• Stronger ROI from existing systems: AI works best when layered onto tools restaurants already use, especially POS, online ordering and inventory software.

What Are the Limitations of AI in Restaurants?

The main limitations of AI in restaurants are poor data quality, frustrating guest handoffs, privacy risks, unclear oversight and weak ROI measurement. Restaurants get the best results when AI is introduced to solve one specific operational problem, supported by clean data, clear internal rules and an easy route to human staff when needed.

How Will AI Impact the Restaurant Industry in 2026 and Beyond?

In 2026, the biggest trend is embedded AI inside restaurant platforms, not as standalone novelty tools.

As noted, recent industry research suggests restaurant AI investment is rising, with Deloitte’s 2025 survey of 375 restaurant executives finding that 8 in 10 expect AI investment to increase in the next fiscal year.

Just as importantly, the most active use cases were core operating functions such as customer experience, chatbots and inventory management, suggesting the winners will be systems that connect POS, labor, inventory, marketing and guest data.

1. Operational AI is overtaking generic generative AI

As discussed, Deloitte research shows the majority of restaurant executives use AI daily to improve customer experience or inventory management, with generative AI tools far less embedded in day-to-day restaurant operations.

That suggests restaurants are prioritizing tools that save time, reduce waste, and improve service, rather than tools that simply generate content.

2. Guest-facing AI will grow, but only when it feels helpful rather than intrusive or clunky

This also reflects diner behavior. Toast’s latest restaurant trends research suggests diners are increasingly open to technology that improves convenience, especially when it helps them discover restaurants, order faster, or receive useful recommendations without disrupting the hospitality experience.

In other words, guests are warming to AI when it removes friction, not when it replaces human service with something awkward and robotic.

3. Restaurants will increasingly judge AI by hard ROI

Since nearly all US operators surveyed by the National Restaurant Association cite food, labor, insurance, energy, and swipe fees as major challenges, cost pressures for restaurants are clearly still acute in 2026.

As such, operators need tools that reduce waste, protect labor efficiency, and help them act on live business data. That is why forecasting, stock control, and admin automation are the most durable use cases right now.

◼︎ This article has been paid for by Toast