13 Best AI Chatbot Examples for Customer Service in 2024

Chatbots have appeared as powerful tools that change the entire scenario of customer interaction. With a market projected to reach $9.4 billion by 2024, chatbots are not just a trend but a cornerstone of modern customer service. These days chatbots are being used across various industries to provide instant, personalized, and efficient service.

But, why everyone is thinking of using chatbots for their business. How it is going to impact your business growth? Let me give an example, a friendly assistant guiding customers through purchase, a support bot resolving queries in real-time, or an intelligent system offering personalized recommendations. All these things are occurring without human intervention. According to recent studies, 80% of businesses are expected to integrate some form of chatbot system by the end of 2024.

In this blog, we are going to explore the most compelling chatbot examples that showcase their versatility and effectiveness in today’s digital age. 

What is a Chatbot Example?

A chatbot is a computer program designed to simulate conversation with human users, typically through textual or auditory means. These programs are often powered by artificial intelligence (AI) algorithms that enable them to understand and respond to user queries or commands naturally and conversationally.

It is used to understand and respond to user inputs and is also integrated into messaging platforms, websites, and mobile apps to facilitate automated communication and assistance. For example, Siri is an AI-based voice assistant that helps users with tasks on their Apple devices.

Chatbots play a key role in handling customer inquiries and issues by providing automated responses and solutions. They manage a variety of tasks, such as answering frequently asked questions, processing orders, providing technical support, and resolving common issues. 

Why Use Chatbots for Your Business?

Do you know with chatbots you’ll get numerous benefits? Let’s find what makes chatbots an invaluable tool for businesses across various industries.

1. Chatbots confirm that customer inquiries are addressed promptly and provide round-the-clock support.
2. It automates routine tasks and reduces the need for a large customer service team resulting in significant cost savings.
3. It handles multiple conversations simultaneously and helps businesses to scale customer interactions without compromising quality.
4. It proactively engages customers by offering personalized recommendations and guiding them through their purchasing journey.
5. Chatbots gather valuable customer preferences and behavior data that can be analyzed to improve products, services, and marketing strategies.
6. It provides consistent and accurate responses for a uniform customer experience.
7. It frees up human employees to focus on more complex and strategic activities and boost overall productivity.
8. Chatbot personalized interactions based on user data. Also, it provides a personalized experience that enhances customer satisfaction and loyalty.
9. It can quickly address customer queries to decrease wait times and improve the overall user experience.

13 Best AI Chatbot Examples for Business 

What business you are in? There must be some business functions or customer communication channels that can be automated to enhance your overall business growth. There will be tasks that would demand you to weigh in on a chatbot vs conversational AI to find the best technology for service delivery. 

Many brands are still unsure about how chatbot features fit into their strategy.  So here we are breaking down industry-wise chatbot examples to show you just what this technology is capable of.

We are further breaking down how multiple industries can benefit from AI bots, as well as providing some chatbot conversation examples for you to follow. Here are some of the industries where business chatbots have been leveraged successfully.

Here are quick-tap examples of chatbots.

1. Slush – Answer FAQs in real time
2. Vainu – Enrich customer conversations without form fill-ups
3. Dominos – Deliver a smooth customer experience via Facebook messenger
4. HDFC Bank – Help your customers with instant answers
5. KLM Royal Dutch Airlines – Enhance your customer service with a multilingual FB bot
6. Marriott Hotel – Meet your customer requests effectively
7. Babylon Health – AI for better healthcare experience
8. H&M – Recommend your users based on their interests
9. Adidas Women – Tailor easy ways for customers to receive product updates
10. Sephora – Improve user experience with personalized recommendations
11. CNN chatbot – Provide personalized information to your customers
12. L’Oreal – Enhance the candidate journey with AI recruiting assistant
13. Structurely’s Asia Holmes – Engage & qualify your online leads
14. Contact centers – Reduce customer service costs & boost revenue

Let’s discuss the different ideas of implementing conversation AI across different industries like e-commerce, healthcare, or airlines. 

#1 Slush – Answer FAQs in Real Time 

Customers expect an immediate response when they reach out to a company for any support. Delivering real-time and high-quality support to a large number of customers is not an easy job. 

Slush is known for holding entrepreneurial events across the globe and it’s a great example of a chatbot. The company leveraged the chatbot and experienced positive results. The Jenny chatbot on their website successfully handled 64% of all customer support requests, which is a quite significant load.

By deploying the conversational AI solution, Slush instantly answered basic questions based on events such as: how do I get to the venue easily? What’s the schedule of the event? Are there any hotels nearby?

As Jenny was available 24×7 on Slush’s website and mobile app, people started 55% more conversations. The bot handled questions from approximately 20,000 attendees. 

Key learnings:

• No matter what the size of the company or customer base, if the event of the product is big and generates a lot of customer support requests. These bots can be scaled easily to handle thousands of requests and deliver a seamless experience. 
• A chatbot template for sales is an effective tool that can significantly reduce the customer support team’s workload.
• Deploying a chatbot enables businesses to provide high-quality support to the company’s target audience.

#2 Vainu – Enrich Customer Conversations Without Form Fill-ups

Vainu is a nice example of a chatbot. A combination of a perfect lead generation strategy and chatbots can bring your business a good number of leads. Filling up forms used to be the traditional method of generating sales leads. 

Well, the chance of converting your customers via lead generation forms is between 2.5% to 5%. 

Instead, businesses leverage sales chatbots for their lead generation use cases. It can be a better fit for website visitors who do not prefer filling up forms. The bot can ask relevant questions and can be more engaging for customers to submit their contact information. 

Vainu, a data analytics service, built VainuBot to engage with customers in rich conversations. The bot asks questions to the visitors to qualify and engage them. It is one of the best chatbot examples for lead generation. 

The visitors can quickly make choices by simply selecting the option most relevant to them. At the end of the conversation, the bot asks for their email address to book a demo or send a report at the end. 

Key learnings:

• Businesses that aim at collecting lead information need to create a chatbot to ask qualifying questions and respond with new questions based on the previous answers given by visitors.
• With lead generation chatbots, companies can acquire more qualified leads compared to a simple lead generation form.  And, Vainu is a great chatbot example for lead generation. 

#3 Dominos – Deliver a Smooth Customer Experience via Facebook Messenger

Chatbots are no longer restricted to enterprises and different business verticals but it has significant use cases for consumers as well. 1 in 5 consumers would consider purchasing goods and services from a chatbot.

Dominos has built a Facebook chatbot to make the ordering process faster. The famed restaurant offers the easiest way to order a pizza from “Anywhere”. 

Today’s customers use different messaging channels to connect with a brand. These channels offer the benefit of ordering pizza from anywhere – through Facebook Messenger, texting, Amazon Alexa, Slack, Twitter, or a smartwatch. You can even do the same with an emoji text.

Domino’s is leveraging the chatbot capability to introduce an entirely new shopping paradigm. The main idea behind this frictionless experience is to provide customers what they want in just a few steps.

Key learnings:

• The use of conversational script can make your bot powerful and save the time of your users by reducing the number of steps to get the thing they are looking for.
• Besides providing engaging and straightforward communication, provide the benefit of convenience to your customers. 
• No hassle of downloading an app, dialing phone numbers, or going to the website to order their pizza. All the customers do is join a conversation with the bot in Messenger!

#4 HDFC Bank – Help Your Customers With Instant Answers

Another ideal AI chatbot example is Eva. The utility of financial chatbots is growing y the day as customers now expect prompt services all the time. When it comes to balancing finances or managing bills it can be a struggle to find the best solutions to navigate a numbers-and policy-heavy website. Banks can benefit themselves as well as their customers by implementing chatbot technology.

Eva is an AI-powered banking chatbot. The Eva bot helps serve customers better and faster. It uses Natural Language Processing (NLP) to understand the user query and fetch the relevant information from possible sources, in zero waiting time. 

Customers can get the information by conversing with Eva in human language instead of searching, browsing, clicking buttons, or waiting on a call. Eva has answered more than 5 million queries from around a million customers with more than 85% accuracy.  Eva holds more than 20,000 conversations every day with customers worldwide.

Key learnings:

• Banks or financial services can design chatbots around a core use case such as claims or loan applications.
• You can personalize your banking chatbot by giving a name that matches your brand image. 

#5 KLM Royal Dutch Airlines – Enhance Your Customer Service With a Multilingual FB Bot

Artificial Intelligence has been a game-changer for the travel industry by helping companies simplify travel arrangements and streamline business procedures. A travel chatbot is accessible 24×7, supports multiple languages, provides real-time responses to travelers’ queries, and is also available on the FB Messenger app.

KLM Airlines had to respond to 15,000 social conversations in different languages in a week. To handle the process seamlessly, KLM implemented a chatbot called “BB” (BlueBot) to provide faster, more effective, and personalized customer support. It is the best AI chatbot example.

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They used the bot on the checkout page so that people could opt-in to receive booking confirmation, check-in notifications, boarding passes, and flight status updates via Messenger itself. 

As a result, their volume of Facebook messages hiked to 40%. The bot handles 16,000 customer interactions weekly, and almost 1.7 million messages have been sent on Messenger by over 500,000 people.

Key learnings:

• Travel bots can solve queries, give suggestions, or initiate transactions. With so much potential comes the added benefit of all-time availability. 
• Bots ensure enhanced customer engagement with the brand even more than an app. In addition, chatbots by handling routine queries, save precious time for customer care service representatives, allowing them to perform more complex problems and tasks. 
• It acts as an excellent profiling tool, by collecting data such as purchase history, they can personalize the travelers’ experience. This will bring the personal touch expected by travelers for a long time.

#6 Marriott Hotel – Meet Your Customer Requests Effectively

Indeed, hospitality is a vast industry, encompassing everything from transportation to restaurants but chatbots are excelling at all of them. This industry tightly focuses on customer service. 

Here is a customer service chatbot example in the hospitality industry to get you started.

Marriott used chatbot implementation ideas and made them available to guests via text message. Bots allow guests to request basic hotel services, essentially acting as an in-phone concierge. This exempts middleman involvement and enables requests to be met quickly and efficiently. 

The bot allows guests to request services, and information about the hotel, listen to the brand’s playlist, and connect to the front desk team. Apart from that, Marriott rewards members can interact with chatbots on Facebook Messenger to research and book travel at more than 4,700 hotels. Marriot is a great customer service chatbot example for inspiration to create yours. 

Key learnings: 

• For hotels, the chatbot example is all about guest services. Whether it’s hotel check-in or out or other services, hotels should leverage chatbots as an addition to the front desk and concierge services. 
• You can create a chatbot by identifying the repetitive tasks in your hotels such as concierge service or front desk and provide users with a better experience using bots.

#7 Babylon Health – AI for Better Healthcare Experience

The healthcare industry has made the best of the opportunity to capitalize on chatbots. The rise of health & fitness apps is the best chatbot example. Healthcare bots can help in personalizing the user experience based on the health needs of the user.

Babylon Health is a well-known British online subscription service that has used bots to offer consultations based on personal medical history and can even connect you with a live video consultation from a doctor.

After you sign up you have to detail your symptoms to the bot. It will then check your symptoms against its database and provide you with the next steps and possible causes.

Key learnings:

• While a bot should never replace a physician, it should be able to ask relevant questions to personalize the experience for each user.
• Simply keeping clients’ records is a great step in streamlining your healthcare brand’s customer service. Allowing clients to easily book appointments and providing them with appointment reminders are simpler functions that most healthcare providers can easily adopt.

#8 H&M – Recommend Your Users Based on Their Interests

Conversational AI is expected to grow to $36.8 billion by 2025. And e-commerce businesses have grabbed a fair share of the pie. Conversational AI helps startups & small online businesses to manage multiple conversations at a time. 

H&M is a global fashion company that uses a chatbot to help mobile customers navigate their search through outfit possibilities and guide them to the online store areas that align with their purchase desires. The H&M bot leverages the following information and responds differently based on the provided information:

• Suggests outfits and the total price for all items
• If you dislike the suggested outfit, the chatbot will select a different outfit
• If you like the outfit, the chat provides new outfit suggestions

H&M’s consistently increased sales and new H&M online markets appear to signify positive results for its chatbot implementation. It is a real-life conversational AI chatbot example.

Key learnings:

• Chatbots opened avenues for brands to engage the native millennials and Gen Z customers in their own language and convenience.
• With the ability to answer basic customer queries, bots enable luxury brands to scale personal shopping services and ensure the best use of their employees’ expertise and time.

#9 Adidas Women – Tailor Easy Ways for Customers to Receive Product Updates

Chatbots are customer support and are an absolute win-win. Customers win because they get real-time, 24×7 support, and businesses save on operational costs (staffing or infrastructure costs) and empower their support team to solve complex issues.

Adidas women deliver a true customer experience where a chatbot can really shine. When they launched a new female-focused community space, known as Studio LDN, they decided to deploy a chatbot to help create a new type of interactive booking process.

By leveraging the popular Facebook Messenger chatbot platform, Studio LDN took advantage of an existing bot.

• The bot enables users to of course discover sessions organically
• It helps to register within a conversational interface for the users

The users using Messenger can have the benefit of having super-fast-paced conversations. The purpose of using a chatbot to enable registration and session information sharing is to help users find updates immediately without having to reach out to them. The users can directly interact with the bot, and receive updates in a messaging format that they are already comfortable and familiar with. You can gain deeper insights from this conversational AI chatbot example for your brand. 

Key learnings:

• Implement a bot to ease customers to find out the latest updates without any hassle that usually happens in emails or phone calls.
• Make your communication process effective with bots and enhance your customer experience and brand reputation.

#10 Sephora – Improve User Experience With Personalized Recommendations

Sephora is a great example of a retail makeup giant that explains very nicely what a chatbot can do for your brand. It is available on Kik and Facebook Messenger and it not only helps customers shop and purchase products but also provides inspiration and help.

• It provides a one-to-one chat interface, as well as makeup tips, video clips, and makeup tutorials.
• It helps users to find products used in the tutorials and suggest top-rated products in any category.

Sephora is a great AI chatbot examples for personalized customer service. The app asks you to take a short quiz. So, it can better personalize product recommendations, etc. This means that customers don’t have to waste time going through products that aren’t relevant to their needs.

Key learnings: 

• You need to focus on your customer’s needs and interests and provide suggestions accordingly. 
• Analyze the customer questions proactively and frame answers to deliver a better chatbot experience.

#11 CNN Chatbot – Provide Personalized Information to Your Customers

Give a practical thought – Is it possible to browse multiple portals for news updates in today’s time? It could be really a time-consuming task. With information chatbots, you save time by getting curated news and headlines right inside your messenger 

Many popular news portals and television networks introduced chatbot services. Chatbots inform people about breaking news and recommend top stories to read. CNN was one of the first news businesses to build a bot on the Facebook Messenger platform.

By using the CNN bot, you can choose to read the top stories topic. When you choose the stories you like, the bot gets smarter about your preferences and what you want to read. It is a great example of chatbot responses.

Key learning:

• Giving the right information to the users based on their interests will help to boost your customer engagement rate.

#12 L’Oreal – Enhance the Candidate Journey With an AI Recruiting Assistant

L’Oréal, the world’s leading beauty company, employs 82,600 people worldwide. It is present across all distribution networks such as mass markets, department stores, pharmacies and drugstores, hair salons, travel retail, branded retail, and e-commerce. 

Mya, the AI recruiting assistant is the best chatbot example for managing large candidate pools, giving FirstJob recruiters and hiring managers more time to focus on interviews and closing offers. L’Oréal rolled out its first conversational platform with Mya Systems. Mya targets candidates seeking internships and positions.

How does Mya function?

• Mya can chat with many candidates simultaneously via SMS, Facebook, Skype, email, or chat
• It asks to prescreen questions, responds to FAQs, delivers application progress updates, gives tips and guidance, sends alerts to the candidates, and administers assessments & challenges
• It provides vital information for recruiters and managers, ranking candidates on factors like experience, recent activity, engagement, and other metrics.

As a result candidates’ satisfaction increased and allowed L’Oréal to receive over 1 million applications per year. Mya engages with 92% of our candidates efficiently and achieves a near 100% satisfaction rate. It is an ideal example of a conversational AI chatbot.

Key learnings:

• We’ve received great feedback from our applicants. Many commented on how easy and personal the experience felt.”   
• As part of its overall HR transformation and digitization efforts, the Group takes an important step forward with this partnership. This new very performing technology reinforces HR people’s counselor role and enables them to focus on the recruitment process’s qualitative and human dimensions.

See what a chatbot can do for the telecom industry. 

#13 Structurely’s Asia Holmes – Engage & Qualify Your Online Leads

Real estate agents often deal with a ton of customer inquiries starting from available listings, pricing information, location, neighborhood standards, etc. A chatbot can help to streamline the initial process without replacing the role of the agent.

A chatbot helps collect contact information, providing available listings, and book viewings. Structurely’s chatbot, Asia Holmes, is a great AI chatbot example to handle customer queries in real-time and make conversations effective.

• Holmes personalizes the experience by asking a series of smart questions to determine a user’s ideal property.
• Users can ask it to send them home updates when the ideal buying times are in certain areas, and it can even identify ideal listings based on features from other homes.

The chatbot conversation example shows Holmes returning a related property based on the kitchen from another property.

Key learnings: 

• While in your real estate business, you can feed your bot with a series of personalized questions, which will help you return more appropriate results and collect valuable information about your leads.
• Train your bot to learn customers’ needs and treat them with video or text-related answers.

Summary

Chatbots can be a really great tool in the various arsenal. However, it is an absolute matter of understanding how and when to apply this tool to deliver a better customer experience. Like a single spice is not used for all recipes, the same is true for human agents and chatbots. 

After getting inspiration from these chatbot examples, you can build a dynamic conversational chatbot by using REVE Chat. It is one of the best chatbot-building platforms that offers industry-focused, personalized, and pre-defined templates to build a chatbot with ease. So, what are you waiting for? Sign up today to build your chatbot by using the REVE Chatbot platform. 

Frequently Asked Question

What are Chatbots with an Example?

Chatbots are software applications that simulate human conversation through text or voice interactions. An example is Apple’s Siri, which assists users with various tasks through voice commands.

What are the 4 Types of Chatbots?

Below are four types of chatbots.

• Rule-Based Chatbots: Operate on pre-defined rules and scripts.
• AI Chatbots: Use machine learning and natural language processing (NLP) to understand and respond to user inputs.
• Hybrid Chatbots: Combine rule-based and AI capabilities to provide more flexible interactions.
• Voice Bots: Interact with users through voice commands, such as Amazon’s Alexa.

What is an example of a Social Media Chatbot?

Facebook Messenger’s chatbot for businesses allows users to make inquiries, receive updates, and perform transactions directly within the Messenger app.

What is the Main Use of Chatbots?

The main use of chatbots is to automate customer interactions, provide instant responses to inquiries, guide users through processes, and handle routine tasks, thereby improving efficiency and customer satisfaction.

What is a Simple Chatbot?

A simple chatbot operates based on predefined rules and scripts to provide automated responses to specific inputs without the need for advanced AI capabilities.

What Type of AI is Chatbots?

Chatbots typically use Natural Language Processing (NLP) and Machine Learning (ML) to understand and respond to human language conversationally.

What is an AI-powered chatbot for Customer Service?

An AI-powered chatbot for customer service uses machine learning and NLP to provide personalized and accurate responses to customer inquiries, handle complex issues, and offer support around the clock.

What is the Main Purpose of a Chatbot?

The main purpose of a chatbot is to automate and enhance customer interactions, providing immediate support and information, improving user experience, and increasing operational efficiency.