February 6, 2025

AI in Restaurants: A New Way to Improve Restaurant Operations

The restaurant industry is changing fast, and AI is shaking things up in the best way possible.

Picture this: AI-powered tools helping chefs cut down on food waste, automating time-consuming tasks so staff can focus on guests, and even suggesting the perfect dish for diners based on their past orders—all happening right now.

AI isn’t just a futuristic concept; it’s already transforming restaurant operations, making businesses more efficient and enhancing the dining experience like never before.

In this article, we’ll dive into how AI can help restaurants meet rising customer expectations, improve day-to-day operations, and create experiences that keep guests coming back for more.

Brief history of AI adoption in restaurants

Robot

It didn't all start with ChatGPT!

Restaurants have gradually adopted AI, starting with basic uses and moving toward more advanced and deeply integrated solutions.

2014: Voice assistants for ordering

In June 2014, Domino’s Pizza introduced “Dom,” a virtual assistant designed to simplify and speed up the ordering process. This AI-powered tool allowed customers to place voice orders through the Domino’s app on both iPhone and Android devices. 

By reducing human error and making ordering more convenient, Dom showcased how AI could improve both customer experience and restaurant efficiency. 

Dom also had a “sense of humor” of sorts, proclaiming his “motherboard and fatherboard raised him right”.

This marked a significant step in the food industry’s adoption of AI, demonstrating its potential to improve operations and simplify interactions between businesses and customers.

Three years later, Starbucks joined the trend with a new feature in the “My Starbucks Barista” mobile app. This feature allowed customers to order, modify orders, and pay for them by speaking. Customers could also reorder their usual items by speaking to Amazon Alexa.

2016: Social media chatbot for "conversational ordering"

Catching up with Domino's, Pizza Hut announced a new way to order in 2016: via chatbot.

In what the representatives called "conversational ordering", Pizza Hut implemented a chatbot on social media platforms to take orders and answer questions, paving the way for AI in customer interactions.

Customers needed to add Pizza Hut on Facebook Messenger and set up their accounts first, though.

2018/19: Dynamic menu boards

In 2019, McDonald’s made headlines by acquiring Dynamic Yield, an AI company specializing in personalization technology.

McDonald's began testing AI-powered personalization and experience improvements in 2018. After it proved to be a successful endeavor, McDonald’s implemented dynamic menu boards at drive-thrus, which adapted in real time based on factors like weather, time of day, and customer preferences.

This move demonstrated how AI increases operational efficiency while improving customer experience.

2022-Present: predictive analytics and automation

In recent years, predictive analytics and automation have become game-changers for the restaurant industry. AI is now a critical tool for forecasting customer demand, optimizing inventory, and even crafting data-driven menus that reduce waste and boost profitability.

Restaurants of all sizes now rely on AI-powered insights to anticipate busy hours, adjust staffing needs, and ensure the right ingredients are always in stock. Even smaller, independent restaurants are embracing these tools to stay competitive, proving that AI isn’t just for big chains with deep pockets.

Beyond the kitchen, AI-driven chatbots handle customer inquiries, predictive analytics help restaurants fine-tune pricing strategies, and automation simplifies everything from online orders to food prep.

The result? Faster service, reduced costs, and a smoother experience for both staff and guests.

How can AI change the restaurant industry for the better

Artificial intelligence has the potential to address many challenges faced by the restaurant industry while opening up opportunities for innovation and growth. From increasing efficiency to improving customer satisfaction, the benefits of adopting AI tools are vast and varied. Below are some of the key areas where AI is already making a significant impact.

1. Streamlined operations for a smoother workflow

Restaurant chef

Running a restaurant is like conducting a symphony—every piece needs to work in perfect harmony.

That’s where AI steps in, automating repetitive tasks and making every part of the operation more efficient.

AI-powered POS systems track sales in real time, giving restaurant managers the insights they need to adjust inventory, fine-tune staffing, and prevent over-ordering. In busy dining rooms, AI helps manage reservations, optimize table assignments, and even coordinate food prep to keep service running smoothly and wait times low.

Behind the scenes, AI takes the guesswork out of inventory management by tracking stock levels and automatically reordering supplies before they run out. Smart kitchen devices equipped with AI ensure food is cooked to perfection every time, monitoring temperatures and cooking times to maintain consistency and cut down on waste.

At the end of the day, AI helps reduce human error, improve efficiency, and make life easier for both staff and guests.

How AI in restaurants creates smooth workflow

2. Serving up personalization, one dish at a time

Woman with a drink

One of the most exciting ways AI is transforming restaurants is through highly personalized service. Think of it as having a waiter who remembers every guest’s favorite dish, drink, and even how they like their steak cooked—except this “waiter” is powered by data. By analyzing order history, preferences, and feedback, AI tools help restaurants make spot-on recommendations, ensuring every guest feels like a VIP.

AI-powered loyalty programs take this a step further, offering rewards and promotions tailored to individual dining habits. A regular who always orders a cappuccino? They might get a special discount on their next one. Someone who loves spicy food? The system might suggest a fiery new dish. AI can even anticipate future orders based on past behavior, making every interaction feel personal and seamless.

And it doesn’t stop there. Digital menu boards powered by AI change dynamically, suggesting dishes based on the time of day, trending items, or even the weather—because nothing hits the spot like a warm bowl of soup on a rainy day.

Take ResponseScribe as an example—it helps restaurants craft personalized responses to customer inquiries, making every interaction feel thoughtful and genuine. Whether it’s replying to feedback, resolving concerns, or even recommending dishes based on a guest’s preferences, AI ensures that every response feels warm and tailored. ResponseScribe does all this while keeping the human touch intact, strengthening customer relationships one conversation at a time.

When restaurants personalize every touchpoint of the dining experience, they don’t just meet customer expectations—they exceed them. The result? Happier guests, stronger loyalty, and a reputation that keeps people coming back for more.

3. Cutting down food waste and smarter stock handling

Woman giving a box to a man

Reducing food waste has become a top priority for restaurant owners as they face increasing pressure to adopt sustainable practices. AI tools are addressing this challenge by enabling smarter stock management and waste reduction strategies:

  • Predictive inventory systems: AI systems analyze historical sales data and customer demand patterns to forecast inventory needs accurately. This prevents over-ordering or understocking ingredients, reduces spoilage, and cuts costs.
  • Automated waste monitoring: AI-powered solutions such as Winnow can monitor food waste in real time and provide kitchen staff with actionable insights. They can identify wasteful practices and adjust accordingly.
  • Dynamic menu adjustments: AI technology can recommend menu adjustments based on inventory levels, ensuring that perishable ingredients are used efficiently.

Computer vision technologies can also monitor food waste and ensure inventory quality, further enhancing operational efficiency.These advancements in food preparation are particularly beneficial in large-scale food operations and buffet-style dining, where waste can be difficult to control.

4. Boosting sales by giving guests what they love

Restaurant chef preparing food

AI's ability to understand customer preferences and predict trends has become a game-changer for increasing restaurant sales. Restaurants are now using AI to:

  • Design data-driven menus: AI tools analyze sales patterns and diner preferences to pinpoint top-performing dishes. By focusing on what customers love most, restaurants can refine their menus, boost revenue, and cut down on underperforming items.
  • Offer real-time promotions: AI-powered digital menu boards and ordering systems create personalized promotions on the spot. A loyalty program member might get a special deal on their go-to dish, while a new customer could receive a discount on a highly rated menu item—turning one-time diners into repeat guests.
  • Enhance upselling opportunities: AI-driven ordering systems act like a smart server, suggesting the perfect drink to pair with a meal or tempting customers with a dessert they might love. These subtle, data-backed nudges increase order value without feeling pushy.
  • Voice search optimization: Restaurants can use AI to optimize their menus and services for voice search, ensuring higher visibility and comfort.

Integrating AI to analyze guest behavior and personalize their experience helps restaurants keep their loyal customers while maximizing sales opportunities.

5. Smarter scheduling for a happier team

Bar waiters

Employee scheduling is another area where AI is significantly impacting the restaurant industry. Scheduling employees can be one of the most complex tasks, particularly in restaurants with fluctuating customer demand. And we all know how messy it can get behind the scenes.

The Bear TV show screenshot

AI-powered tools simplify this process by analyzing historical data, including sales trends, peak hours, and employee availability.

  • Optimal shift planning: AI scheduling systems can automatically allocate shifts based on anticipated demand, ensuring that neither too few nor too many employees are scheduled.
  • Employee preferences: AI can consider individual staff preferences, such as days off or preferred working hours, leading to higher employee satisfaction.
  • Real-time adjustments: If unexpected surges in customer volume occur, AI tools can recommend calling in additional staff to meet the demand, helping to maintain service quality.
  • Labor cost control: By aligning staff schedules with actual demand, restaurants can avoid overstaffing, which reduces labor costs.

These solutions allow managers to reduce the time spent on scheduling, minimize errors, and improve overall workplace morale.

6. Delivering reliable quality with lightning-fast service

Delivery worker on a bike

Consistency and speed are critical in the restaurant industry, especially in fast-casual and quick-service formats. AI plays a key role in ensuring that food quality and service times remain consistent, even during peak hours:

  • Automated cooking systems: Robots like Flippy by Miso Robotics can handle repetitive cooking tasks, such as flipping burgers or frying food, ensuring uniform quality across every order.
  • Order prioritization: AI systems can manage order queues to prioritize food production tasks for kitchen staff, ensuring that dine-in, takeout, and delivery orders are fulfilled promptly and accurately.
  • Real-time feedback: Sensors and AI-powered monitoring systems in the kitchen can alert staff to potential issues, such as temperature fluctuations or incorrect cooking times, allowing for immediate adjustments.
  • Delivery optimization: AI tools used by delivery platforms like Uber Eats and DoorDash calculate the fastest delivery routes and minimize wait times, ensuring customers receive their food while it’s still fresh.

Using AI to maintain quality and speed lets restaurants improve customer satisfaction and build a reputation for reliability.

8 ways AI tech can be used in restaurants

AI technology offers innovative solutions that are reshaping restaurant operations, customer service, and marketing.

Below are eight key ways AI tech is being used in the restaurant industry to boost efficiency, cut costs, and deliver personalized customer experiences.

1. Ai-powered voice ordering systems

Voice ordering systems powered by AI make it easy for customers to place orders using simple spoken commands—whether through mobile apps, smart speakers, or drive-thru kiosks. These systems rely on natural language processing (NLP) to accurately understand and process customer requests, improving speed and convenience.Many major restaurant chains have already adopted AI-driven voice ordering to handle phone orders and provide hands-free interactions with digital assistants.

  • For restaurants: AI voice ordering lightens the load on staff during peak hours, reduces human error in order-taking, and improves overall efficiency.
  • For customers: It means faster service, fewer mistakes, and a smoother ordering experience.

With NLP technology constantly improving, voice ordering is becoming a must-have feature for modern restaurants looking to stay ahead of the curve.

2. Automated inventory management

Traditional inventory management often relies on manual tracking, which is time-consuming, error-prone, and inefficient. This can lead to issues such as overstocking, understocking, and food spoilage, which can impact profitability and customer satisfaction.AI-powered inventory management systems address these challenges by:

  • Analyzing real-time data and historical sales trends to forecast inventory needs.
  • Automating restocking and generating alerts when supplies run low.
  • Monitoring ingredient usage to ensure the right quantity of ingredients is always available.
  • Contributing to sustainability efforts by minimizing food waste and improving stock handling.

With automated inventory management, restaurants can reduce waste, lower costs, and improve sustainability.

3. Personalized marketing and customer engagement

iPhone taking a picture of macaroons

AI isn’t just improving restaurant operations—it’s revolutionizing the way restaurants connect with their guests. With smart data analysis and automation, AI helps businesses create highly targeted marketing campaigns, deliver personalized experiences, and increase customer retention.

AI-powered tools analyze everything from past orders to dining frequency and guest feedback to craft promotions that feel personal and relevant. Imagine getting a text with a discount on your favorite pizza or an email offering a free dessert for your birthday—these small, thoughtful touches make a big impact on customer retention.

AI-driven analytics help restaurants stay ahead of trends, track customer sentiment, and engage with their audience in real time. Whether it’s identifying popular menu items, responding to online reviews, or crafting engaging content, AI allows restaurants to build a strong online presence and connect with customers more authentically.

With AI chatbots integrated into websites and mobile apps, customers can get instant answers to questions about menu items, reservations, or delivery options—24/7. No more waiting for a callback or scrolling through a FAQ page. These AI assistants keep guests informed and satisfied, even outside business hours.

For even faster and more personal engagement, ResponseScribe gives restaurants a direct line to customers via text and email. Owners and managers can receive alerts, monitor conversations, and jump in when a human touch is needed. With ResponseScribe, restaurants can:

By using AI to personalize interactions, automate engagement, and provide fast support, restaurants can turn every guest experience into a reason to return.

4. Dynamic pricing strategies

POS and a credit card

Dynamic pricing is a strategy where menu prices shift based on factors like demand, customer behavior, market conditions, or time of day. In restaurants, this approach helps maximize revenue while tackling common challenges like fluctuating customer traffic and changing food costs.

AI makes dynamic pricing smarter and more effective by analyzing historical sales data, real-time market trends, and external influences like weather patterns or local events. AI continuously assesses these factors to ensure that pricing adjustments align with demand, keeping profits high without compromising customer satisfaction.

How AI in restaurants facilitates dynamic pricing

5. AI chatbots for customer service

Chatbot

Chatbots have evolved significantly with the integration of AI, transforming them into intelligent customer service tools that can handle complex inquiries and interactions. In the restaurant industry, AI chatbots clear the way for better communication, improve efficiency, and elevate customer satisfaction.These chatbots can:

  • Answer FAQs: Address common customer queries about menu items, operating hours, delivery options, and dietary restrictions instantly.
  • Handle reservations: Automate the booking process by confirming availability and sending reminders to customers.
  • Personalize interactions: Use customer data to provide tailored recommendations or suggest popular dishes, creating a more engaging experience.

What sets AI-driven chatbots apart is their ability to continuously learn and improve through natural language processing (NLP) and machine learning.

For restaurants, AI chatbots reduce the burden on staff, ensuring that customer needs are met promptly—even during peak hours. These chatbots handle the customer experience while allowing restaurant employees to focus on in-person service.

6. Predictive sales and labor forecasting

Woman looking at analytics on a tablet device

Traditionally, forecasting relied on manual analysis, which was often time-consuming and error-prone. AI now simplifies this process by providing accurate, data-driven insights.

AI-powered forecasting tools analyze historical sales data, customer trends, weather patterns, and local events to predict:

  • Customer traffic: Anticipate busy periods, ensuring the right number of staff members are scheduled to meet demand.
  • Sales trends: Forecasting which menu items will likely be popular, allowing restaurants to adjust inventory and reduce waste.
  • Labor needs: Optimize employee schedules by aligning staffing levels with anticipated customer volume, reducing labor costs without compromising service quality.

By using predictive AI tools, restaurants can proactively prepare for fluctuations in demand, resulting in better service, lower costs, and increased profitability.

7. Sentiment analysis from online reviews

Woman typing a review

Online reviews are a treasure trove of insights for restaurants, but manually analyzing customer feedback can be overwhelming.

AI-driven sentiment analysis tools make this process easier by identifying patterns and trends in customer sentiments, highlighting what diners love and what needs improvement. By categorizing reviews into themes like service, food quality, or ambiance, these tools help restaurant operators make data-driven improvements.

Platforms like ResponseScribe elevate sentiment analysis by offering actionable insights from reviews. Restaurants can quickly identify recurring praise or complaints and implement targeted changes to improve guest satisfaction. With ResponseScribe’s tools, owners can monitor customer sentiments in real time and prioritize improvements that align with guest expectations, resulting in better overall service and increased customer loyalty.

Not only that: ResponseScribe improves guest communication with dedicated replies to every online review. 

8. AI-driven menu optimization

Waiter presenting food options

Menu optimization is a critical area where AI can significantly impact the industry. By analyzing sales data, customer preferences, and ingredient availability, AI-powered tools can identify high-performing menu items and suggest changes to boost profitability. Based on predictive analytics, restaurants can optimize menu layouts, adjust pricing, and introduce new dishes.

For example, AI can highlight underperforming items and recommend their removal or replacement with more popular options. Additionally, AI tools can suggest seasonal or limited-time offerings to keep menus fresh and engaging for customers.

With AI-driven menu optimization, restaurants improve operational efficiency and refine the dining experience by offering options that align with customer preferences and market demand.

The bottom line

Artificial intelligence provides more than efficiency—it’s enabling businesses to connect with their customers on a deeper level.

From automating inventory management to analyzing online reviews, AI empowers restaurant operators to make informed decisions and make guests happy.

The AI tools keep evolving and their role in driving success for restaurants will only grow, making them an essential investment for the future of the food service industry.

ResponseScribe provides smart tools to keep your restaurant’s reputation in check.

ResponseScribe platform screenshot

Gain actionable insights from online reviews, respond quickly to customer inquiries, and build stronger guest relationships effortlessly.

Visit ResponseScribe.com today and see how AI-powered review responses with a human touch can elevate your business!

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