New Technology in Restaurants: 5 Trends to Watch in 2026

New technology in restaurants is transforming how operators manage kitchens, serve guests, and run their businesses. As labor challenges, rising costs, and digital ordering reshape the market, these tools are helping restaurants work more efficiently and make smarter decisions.

Here are five emerging technologies shaping the future of the restaurant industry.

Key takeaways

• New technology in restaurants is helping operators improve efficiency, manage costs, and enhance guest experiences.

• AI-powered tools can support staff, personalize menu recommendations, and provide real-time operational insights.

• Advanced analytics platforms allow restaurants to track menu profitability and make smarter pricing and menu decisions.

• Edge computing systems enable restaurants to process operational data in real time and monitor equipment performance.

• Autonomous delivery robots may help restaurants expand delivery capacity and reduce short-distance delivery costs.

1. AI-powered employee assistants (AI headsets and manager tools)

Artificial intelligence is beginning to support restaurant staff directly during service. New AI-powered headset systems and manager tools can provide real-time guidance to employees, monitor operations, and help managers respond quickly to issues happening in the restaurant.

For example, Burger King is testing AI-powered headsets that allow employees to ask questions about recipes, receive alerts when equipment or ingredients run low, and help managers monitor service patterns. These tools act like an on-demand assistant that helps staff work more efficiently during busy shifts.

• Provide real-time operational alerts: AI assistants can notify managers when inventory runs low or equipment needs attention.

• Help staff prepare menu items: Employees can ask AI tools for recipe guidance or preparation instructions.

• Support service coaching: Some systems track service cues like greetings or polite language to help managers improve hospitality.

• Improve issue response times: AI tools can alert staff when customers report issues such as cleanliness concerns.

• Centralize operational data: These systems collect restaurant data and present insights through dashboards or voice assistants.

2. AI-powered personalized menu recommendations

New personalization tools analyze customer data—such as past purchases, loyalty activity, and ordering patterns—to suggest menu items or promotions tailored to each guest.

Restaurant brands like Applebee’s and IHOP are developing AI-powered personalization engines that recommend dishes or deals based on a customer’s previous orders or the behavior of similar guests. These systems help restaurants increase loyalty while encouraging guests to discover new menu items.

• Recommend menu items based on past orders: AI tools can analyze previous purchases to suggest dishes guests are more likely to enjoy.

• Deliver personalized promotions: Restaurants can offer targeted discounts or deals tailored to individual customers.

• Encourage upselling opportunities: AI recommendations can highlight add-ons, upgrades, or complementary menu items.

• Leverage loyalty program data: Customer profiles and rewards programs provide valuable insights for personalization.

• Improve the digital ordering experience: Personalized suggestions can appear in mobile apps, kiosks, and online ordering platforms.

3. AI menu profitability analytics

New AI-powered analytics tools can track ingredient costs, sales performance, and portion sizes to calculate dish-level profitability in real time.

For example, US Foods recently introduced an AI tool called Menu IQ that helps restaurant operators analyze menu profitability and make adjustments to pricing, portioning, and product mix. By combining inventory data with sales insights, these tools help operators make faster, more informed menu decisions.

• Track dish-level profitability: AI tools can calculate how much profit each menu item generates based on cost and sales data.

• Monitor food costs in real time: Systems can flag rising ingredient costs or margin changes that impact profitability.

• Guide pricing decisions: Restaurants can adjust menu pricing based on demand and cost trends.

• Optimize portion sizes and recipes: AI insights can help operators balance food costs while maintaining quality.

• Support menu planning: Data-driven insights help restaurants decide which items to promote, update, or remove.

4. Edge computing for restaurant operations

Instead of sending all operational data to remote cloud servers, edge systems process data directly inside the restaurant. This means operators can analyze information and respond to issues in real time.

Major chains like McDonald’s are investing in edge computing platforms that place computing power inside restaurants. These systems can run AI models locally to monitor equipment, verify order accuracy, and analyze operational data without relying entirely on external cloud systems.

• Process operational data in real time: Edge computing allows restaurants to analyze equipment, order, and operational data instantly inside the store.

• Monitor kitchen equipment performance: Sensors connected to edge systems can detect issues with equipment before they disrupt service.

• Improve order accuracy: Computer vision tools can analyze orders before they reach customers and flag potential mistakes.

• Support demand forecasting: Operational data can help managers anticipate busy periods and adjust staffing or preparation.

• Combine local processing with cloud analytics: Edge platforms allow restaurants to process data on-site while still feeding insights into larger analytics systems.

5. Autonomous delivery robots

Autonomous delivery robots are becoming a more common sight in cities as restaurants look for new ways to handle growing demand for off-premise orders. These small robots travel along sidewalks or across campuses to deliver food directly to customers without requiring a human driver.

Delivery platforms like DoorDash, Uber, and Grubhub have begun partnering with robotics companies to expand robot delivery fleets in several U.S. cities. The goal is to make short-distance deliveries faster and more cost-efficient while helping restaurants manage increasing delivery demand.

• Automate short-distance deliveries: Robots can transport food orders to nearby customers without requiring a driver.

• Reduce delivery costs: Automation can lower labor expenses associated with traditional delivery services.

• Improve delivery efficiency in dense areas: Robots are especially useful in campuses, downtown areas, and neighborhoods with frequent short deliveries.

• Expand delivery capacity during busy periods: Automated delivery helps restaurants fulfill more orders during peak times.

• Support the growth of off-premise dining: As takeout and delivery continue to expand, robot delivery systems may become a larger part of restaurant logistics.

Byte into the future

Restaurant technology changes quickly, but keeping an eye on emerging trends can help you spot new ways to improve operations, increase sales, and stay competitive.

Fortunately, many of the tools shaping the industry are becoming more practical and accessible for restaurant operators. From AI assistants to automation strategies, these innovations are opening up new possibilities for how restaurants run and grow.

FAQ

What restaurant technology should operators prioritize to increase efficiency?

Restaurants should prioritize technology that improves core operations, such as POS systems, inventory management software, and online ordering platforms. These tools streamline workflows, reduce manual tasks, and provide real-time data for better decision-making.

How can automation improve labor productivity without replacing staff?

Automation improves labor productivity by handling repetitive tasks so employees can focus on guest service. Tools like automated inventory tracking, kitchen display systems, and AI-powered assistants help staff complete tasks faster and reduce errors.

In what ways does AI help reduce waste and optimize inventory?

AI tools can analyze sales patterns, ingredient usage, and historical data to forecast demand more accurately. These insights help restaurants order the right amount of ingredients and adjust menus based on real-time cost trends.

How does integrating POS, ordering, and loyalty systems impact revenue?

When POS, online ordering, and loyalty systems are integrated, restaurants can track customer behavior across all ordering channels. This data allows operators to create targeted promotions, personalized offers, and more effective marketing campaigns.

What guest-facing technologies most effectively increase check averages?

Guest-facing technologies like digital menu boards, self-order kiosks, and mobile ordering apps can increase check averages by recommending add-ons and upgrades during the ordering process. AI-powered personalization tools can also suggest menu items based on past purchases.