AIMultiple ResearchAIMultiple Research

8 Restaurant Chatbots in 2024: 5 Use Cases & Best Practices

Cem Dilmegani
Updated on Mar 27
5 min read
8 Restaurant Chatbots in 2024: 5 Use Cases & Best Practices8 Restaurant Chatbots in 2024: 5 Use Cases & Best Practices

Restaurant chatbots can be a smart investment for restaurant chains since they provide: 

Despite their benefits, many chain restaurant owners and managers are unaware of restaurant chatbots. This article aims to close the information gap by providing use cases, case studies and best practices regarding chatbots for restaurants.

8 restaurant chatbots

VendorEmployee SizeFree Plan / TrialPricingKey Features
Salesforce Service Cloud10K+Starter: €25
Professional: €80
Enterprise: €165
Unlimited: €330
-Input data from various sources such as POS systems, applications, and inventory into one centralized location. -Performance analysis -Data visualization
Zoho SalesIQ10K+Basic: €10* (p/mo)
Professional: €17 (p/mo)
Enterprise: €17 (p/mo)
– In-app, event-based chat support -Offline push notification campaigns -Automated delivery orders and reservations
Tacobot by Taco Bell10K+N/A-Slack based
-Food order & customization
Domino’s Dom10K+N/A-Facebook integrated Food order
-Estimate delivery time
-Re-order previous orders
-Answers FAQs
Presto Bot201-500N/A
-Save server trips to static POS stations -same device can be used for pay-at-table, staff handheld, kiosk, and line busting applications -Accept all contactless and mobile payments
Botsify11-50
Do it yourself: $49 with 2 chatbots (p/mo) Done for you: $149 with 5 chatbots (p/mo)
-Allows restaurants create their own chatbots
Chatfuel11-50
-Business: €14.39 for Facebook & Instagram -Enterprise: $300 for Facebook & Instagram
-Builds chatbots especially for Facebook Messenger -Chatbots can recommend menus to customer -Automate order management & answer FAQs
Chatobook2-10N/AN/A-Integration with Facebook Messenger
-Reservation & order management
-Answers customer queries
Waiterless2-10N/A-Integrated with Razor Pay
-Interactive Menus
-Restaurant performance & analytics
-QR-code generation

Table features:

This table is organized by the company’s number of employees except for sponsors which can be identified with the links in their names. Platforms with 2+ employees that provide chatbot services for restaurants or allow them to produce chatbots are included in the list.

Sponsored:

Salesforce is the CRM market leader and Salesforce Contact Genie enables multi-channel live chat supported by AI-driven assistants. Salesforce Contact Center enables workflow automation for customer service operations by leveraging chatbot and conversational AI technologies.

What is a restaurant chatbot?

A restaurant chatbot, also referred to as a restaurant bot, is a conversational AI tool that engages with customers on:

Restaurant chatbots are designed to automate specific responsibilities carried out by human staff, like booking reservations. Chatbots might have a variety of skills depending on the use case they are deployed for. 

For example, some chatbots have fully advanced NLP, NLU and machine learning capabilities that enable them to comprehend user intent. As a result, they are able to make particular gastronomic recommendations based on their conversations with clients.

On the other hand, rule-based chatbots with comparatively limited artificial intelligence (AI) capabilities can automate a variety of tasks such as responding to clients’ frequently asked questions (FAQs) or sending out mass notifications about events.

Top 5 restaurant chatbots use cases

Despite the fact that chatbots have a variety of general applications, such as automating customer service, this section only focuses on 5 use cases specific to the restaurant industry (see Figure 1).

Image shows the industry specific use cases of restaurant chatbots.
Figure 1: Restaurant bots’ sector-specific use cases.

1. Take orders

Restaurant bots can take orders from customers, understand their particular needs, and deliver the orders to the kitchen for preparation. Restaurant chatbots can take orders for dine-in, takeaway, and motorcycle courier home delivery (see Figure 2).

  • Takeaway services: Customers interact with chatbots on WhatsApp, restaurant websites and social media channels. They provide information regarding the meals they want to eat. Then, chatbots convey the messages to the chefs and determine the pickup time based on how busy the kitchen is.
  • Dine-in: Many restaurants switched from paper menus to QR codes after the pandemic. Users can view the restaurant’s menu by scanning the code. On these sites, several restaurants have installed chatbots referred to as waiter bots. To order food or drinks, customers can now interact with waiter bots. As a result, customers no longer need to wait for waiters and bartenders to take their orders.
A restaurant chatbot takes the food orders of a customer.
Figure 2: A chatbot engages with a customer to take an order. Source1

2. Handle table reservations & cancellations

One of the common applications of restaurant bots is making reservations. They can engage with customers around the clock to provide and collect following information. 

  • Opening and closing times of the restaurant
  • Number of guests
  • Reservation time
  • Snacks and cocktail preferences for the reservation time
  • Location of table
  • Purpose of the event (birthday, anniversary etc.)
  • Duration of dinner and so on.

This knowledge enables restaurants to plan a top-notch service for guests. For instance, if there will be a birthday celebration, the restaurant can prepare a cake and set the tables appropriately to enhance the customer experience. Chatbots also aid restaurants in controlling client traffic as well.

3. Introduce the menu and prices

Customers can learn about menu items and food and drink costs via chatbots. Customers can then decide whether the dishes and prices are appropriate for them (see Figure 3).

The introduction of menus may be a useful application for restaurant regulars. Since they might enjoy seeing menu modifications like the addition of new foods or cocktails.

Figure 3: A chatbot introduces the menu of the restaurant.

Image shows an example of how a chatbot can introduce the menu items to the customers.
Figure 3.Source2

4. Recommend dishes and drinks

Restaurant chatbots can recommend customers dishes and drinks to improve customer engagement. There are two main of doing this:

  1. Rule based recommendations: There is no use of advanced NLP for this kind of recommendation. Instead of NLP-driven intent recognition, chefs identify the foods and beverages that match. Chatbots provide general food and drink recommendations according to this labeling. For instance, a chatbot can suggest red wine as an appropriate beverage if clients prefer a NY steak as their main meal.
  2. Recommendation via natural language: Advanced NLP skills are needed for this more complex food and beverage recommendations. In this example, a client and a chatbot for a restaurant discuss the customer’s preferences and prior experiences. According to this data, the chatbot proposes certain foods and beverages the client would like. We anticipate that more restaurants will utilize such an application of chatbots in the near future due to advancements in NLP.

5. Send notifications

Chatbots can send notifications to the customers regarding:

  • Delivery time of meal
  • Reservation and cancellation details
  • Discounts
  • New meals, beverages and cocktails
  • Events and more.

Thus, restaurants can scale up their marketing strategies while keeping customers informed regarding their orders and reservations.

Top 4 restaurant chatbot best practices

We recommend restaurants to pay attention to following restaurant chatbots specific best practices while deploying a chatbot (see Figure 4).

Image demonstrates the best practices of restaurant chatbots to combat their challenges.
Figure 4: Restaurant chatbots best practices.

1. Consider deploying it on messaging apps and mobile applications together

Although restaurant executives typically think of restaurant websites as the first place to deploy chatbots, offering users an omnichannel experience can boost customer engagement. In this regard, restaurants can deploy chatbots on their custom mobile apps as well as messaging platforms. 

Especially having a messenger bot or WhatsApp bot can be beneficial for restaurants since people are using these platforms for conversation nowadays. For instance, WhatsApp has 2 billion active users as of today. Thus, restaurants can scale their marketing campaigns.

2. Design voice bots

The voice command feature of chatbots used in restaurants ties the growth of voice search in the tourism and hospitality sectors. Businesses that optimize their content for mobile and websites with voice search in mind can gain more visibility while providing users with a better overall experience.

3. Let chatbots send images of your foods and restaurants

Texting with chatbots can be informative for customers. However, seeing the images of the foods and drinks, atmosphere of the restaurant, and the table customers’ will sit can make customers more comfortable regarding their decisions. Therefore, we recommend restaurants to enrich their content with images.

4. Put an end the chat button

Once the query of the customer is resolved it makes sense to end the conversation. When users push the end of the chat button they can direct a very short survey regarding their experience with chatbot. Thus, restaurants can find the main pain points of the chatbot and improve it accordingly. 

To learn more regarding chatbot best practices you can read our Top 14 Chatbot Best Practices That Increase Your ROI article.

You can also read our Hospitality Chatbots: Everything You Need to Know to find out more regarding hospitality industry chatbots.

Finally if you have questions about restaurant chatbots you can reach us:

Find the Right Vendors
Access Cem's 2 decades of B2B tech experience as a tech consultant, enterprise leader, startup entrepreneur & industry analyst. Leverage insights informing top Fortune 500 every month.
Cem Dilmegani
Principal Analyst
Follow on

Cem Dilmegani
Principal Analyst

Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 60% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and media that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised businesses on their enterprise software, automation, cloud, AI / ML and other technology related decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

To stay up-to-date on B2B tech & accelerate your enterprise:

Follow on

Next to Read

Comments

Your email address will not be published. All fields are required.

1 Comments
Tony
Sep 16, 2023 at 16:49

I think that adding a chatbot into the work of a restaurant can greatly simplify the work of a place. We were all customers, and we all would like to make orders as easy as possible, sometimes even without the participation of a restaurant employee, because we just do not want to interact with people, but just want to eat. Plus, I think that if your restaurant has a chatbot, and another neighboring one does not, then you are actually in a winning position among potential buyers or regular guests. You know, this is like “status”, especially if a chatbot was made right and easy to use.

Related research