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14 Best AI Chatbot Examples for Customer Service in 2025

Chatbot Examples
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    Chatbots have been making waves for quite some time in different industries, and it’s easy to see why. With their advanced ability to automate various business operations, deliver human-like responses in customer service, and streamline communication, they have become an important platform for modern business strategies. Businesses now view chatbots as transformative tools that can redefine customer interaction. Today, chatbots are being adopted across industries to deliver instant, personalized, and efficient service, revolutionizing how companies connect with their audiences.

    According to a recent study by Juniper Research, Global retail spending on chatbots is projected to increase to $72 billion by 2028, a significant rise from $12 billion in 2023.

    But one question can come to your mind- why chatbots are becoming a must-have for businesses and how it is going to impact your business growth? Let me give an example, a friendly assistant guiding customers through purchases, a support bot resolving queries in real-time, or an intelligent system offering personalized recommendations. All these things are now possible without human intervention.

    In this blog, we will explore 14 outstanding chatbot examples that are helping companies across different industries to reshape their business operations and offer excellent customer service. Each example will highlight:

    • A brief description about the chatbot
    • How it helps the specific company to grow

    What is a Chatbot?

    What is a Chatbot

    What is a Chatbot

    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. Chatbots are used to understand and respond to user inputs and can be integrated into messaging platforms, websites, and mobile apps to facilitate automated communication and assistance. For example, REVE Chatbot is an AI powered chatbot that automates customer service and many other business operations for various companies. 

    Chatbots play a key role in customer support by handling customer inquiries and 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. 

    Benefits of Using Chatbots for Your Business

    Chatbots offer numerous benefits to businesses across all industries. Here are the key advantages to look into:

    • 24/7 Availability

    With chatbots, you can offer round-the-clock support to your customers.  Bots provide instant assistance to customer queries and resolve their issues without human intervention even outside of regular business hours.

    • Offer Personalized Assistance

    With advanced technologies like AI (Artificial Intelligence) and NLP (Natural Language Processing), bots can understand customer queries, anticipate their needs, and offer accurate responses. For example, AI analyzes customer interactions and generates personalized product recommendations for customers. 

    • Improved Customer Experience

    With chatbots, you can easily engage with customers on various platforms such as websites, mobile apps and other social media platforms. Bots can deliver prompt automated responses to customer queries, guiding them through the buying process, and offer personalized recommendations, leading to a more interactive experience.

    • Communicate in Your Customers’ Language

    Many chatbots are equipped to provide customer service in multiple languages, making them ideal for businesses with a global customer base. By offering support in your customers’ native languages, you can eliminate language barriers and enhance their experience. 

    • Reports and Insights

    Chatbots can collect valuable data on multiple areas such as customer preferences, buying behavior, browsing patterns, past interactions, agent performances, etc, helping businesses improve products, services, and marketing strategies. 

    14 Best AI Chatbot Examples for Your 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.

    1. INAI Offering Smooth Customer Service with REVE Chatbot

    (INAI), an autonomous institution of the Mexican Government, is using an advanced multilingual bot, named REVE Chatbot, to enhance its customer services and other internal business operations. INAI plays a crucial role in ensuring transparency, granting public access to government information, safeguarding personal data, and fostering accountability to strengthen open governance and uphold citizens’ rights.

    REVE Chatbot enables INAI to effectively address the needs of Mexico’s diverse population in both English and Spanish languages. This approach ensures seamless communication with all citizens, breaking language barriers and offering better experiences.

    By integrating REVE Chatbot, INAI has successfully expanded its reach to both Spanish and English-speaking audiences. The result? A remarkable 45% boost in customer satisfaction, reflecting the chatbot’s efficiency in delivering superior services.

    REVE Chatbot is an AI powered chatbot from REVE Chat that can be easily integrated with websites, mobile apps, and many social media platforms to offer automated assistance to customers and carry various internal business operations. Its advanced features make it an ideal choice for companies across diverse industries.

    To know more SIGN UP for its free demo today.

    Key Learnings:

    • Multilingual chatbots help overcome language barriers by providing services in customers’ native languages.
    • Choose chatbots that align with your business needs, are equipped with advanced technologies like AI and NLP, and offer seamless integration options. 

    2. 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, renowned for hosting entrepreneurial events worldwide, sets an excellent example of effective chatbot implementation. By integrating the Jenny chatbot on their website, the company achieved impressive results. Jenny efficiently managed 64% of all customer support requests, significantly reducing the workload and enhancing operational efficiency.

    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.

    Jenny for customer support - chatbot example

    Jenny for customer support

    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.

    3. Vainu: Enrich Customer Conversations Without Form Fill-ups

    Vainu serves as a great example of effective chatbot usage. By combining an optimized lead generation strategy with chatbot technology, businesses can attract a substantial number of leads. Traditionally, sales leads were collected through form submissions, but chatbots offer a more dynamic and engaging alternative.

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

    Instead, businesses have started using sales chatbots for their lead generation process. 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, developed VainuBot to facilitate meaningful customer interactions. This chatbot engages visitors by asking targeted questions to qualify and capture leads effectively, making it an excellent example of leveraging chatbots 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.

     

    Vainu bot for lead generation - chatbot examples

    Vainu bot for lead generation

     

    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. 

    4. Dominos: Deliver a Smooth Customer Experience via Facebook Messenger

    Dominos has built a Facebook chatbot to make their 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 and Dominos has integrated these channels to 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.

     

    Dominos bot for best chatbot example

    Dominos bot

     

    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. 

    5. HDFC Bank: Help Your Customers with Instant Answers

    Another ideal AI chatbot example is Eva. The utility of financial chatbots is growing fast as customers now expect prompt services all the time. Managing finances or navigating a complex, policy-heavy banking website can be challenging for customers. By implementing chatbot technology, banks can streamline these processes, benefiting both themselves and their customers.

    Eva is an AI-powered banking chatbot. The Eva bot helps HDFC bank to 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.

    Eva bot for AI chatbot examples

    Eva bot

    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. 

    6. KLM Royal Dutch Airlines: Enhance Your Customer Service with a Multilingual FB Bot

    Artificial Intelligence (AI) 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 travellers’ 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 stands out as an excellent example of an AI-powered chatbot.

    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.

    KLM Airlines - travel chatbot examples

    KLM Airlines – travel chatbot

    Key Learnings:

    • Travel bots can solve queries, give suggestions, or initiate transactions. With so much potential comes the added benefit of all-time availability. 
    •  Chatbots provide superior customer engagement with the brand, often surpassing traditional apps. By managing routine inquiries, they free up valuable time for customer service representatives to focus on more complex issues and tasks. 
    • It acts as an excellent profiling tool. By collecting data such as purchase history, they can personalize the travellers’ experiences.

    7. 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. 

    Marriott used chatbot implementation ideas and made an excellent bot for the guests.. 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 for services, and information about the hotel, and connect to the front desk team. With this bot, Marriott helps members to interact with the brand on Facebook Messenger, research and book travel at more than 4,700 hotels.

     

    Marriott hotel bot - chatbot examples

    Marriott hotel bot

    Key Learnings: 

    • Whether it’s hotel check-in and 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.

    8. Babylon Health: AI for Better Healthcare Experience

    The healthcare industry has made the best of the opportunity to capitalize on chatbots. 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.

    Once you sign up, you’ll need to provide details about your symptoms to the bot. It will then compare your symptoms to its database and offer the next steps along with potential causes.

    Babylon health care chatbot

    Babylon health care chatbot

    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.

    9. H&M: Recommend Your Users Based on Their Interests

    Conversational AI is expected to grow to $36.8 billion by 2025 and eCommerce 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 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 steady sales growth and the expansion of new online markets highlight the positive impact of its chatbot implementation. It serves as a real-life example of conversational AI in action.

     

    H&M chatbot example

    H&M chatbot

     

    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.

    10. Adidas Women: Tailor Easy Ways for Customers to Receive Product Updates

    Chatbots are a win-win for customer support. Customers benefit from real-time, 24/7 assistance, while businesses reduce operational costs and enable their support teams to focus on resolving complex issues.

    Adidas Women delivers a true customer experience through their bots. 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 users using Messenger can get real-time assistance. The goal of using a chatbot for registration and session information is to provide users with instant updates, eliminating the need for them to seek assistance. The users can directly interact with the bot, and receive updates in a messaging format that they are already comfortable and familiar with.

     

    Adidas women - best chatbot examples

    Adidas women

    Key Learnings:

    • Implementing a chatbot allows customers to easily access the latest updates, avoiding the typical hassles of emails or phone calls.
    • Make your communication process effective with bots and enhance your customer experience and brand reputation. 

    11. 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. They use a bot that 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 example for personalized customer service. The app asks you to take a short quiz. So, it can better personalize your product recommendations, etc. This means that customers don’t have to waste time going through products that aren’t relevant to their needs.

     

    Sephora chatbot - chatbot examples

    Sephora chatbot

      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.

      12. CNN Chatbot: Provide Personalized Information to Your Customers

      Let’s think about this – 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 in the line to build a bot on the Facebook Messenger platform.

      By using the CNN bot, you can choose to read the top stories. 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.

       

      CNN chatbot

      CNN chatbot

      Key Learning:

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

      13. 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, departmental stores, pharmacies and drugstores, hair salons, travel retail, branded retail, and eCommerce. 

      Mya, the AI recruiting assistant, is an excellent example of a chatbot designed to manage large candidate pools efficiently. It frees up recruiters and hiring managers to focus on interviews and finalizing offers. L’Oréal also launched its first conversational platform using Mya Systems, targeting candidates applying for internships and job openings.

      How does Mya function?

      • Mya can chat with many candidates simultaneously via SMS, Facebook, Skype and email
      • It 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.

      This led to increased candidate satisfaction and enabled L’Oréal to handle over 1 million applications annually. 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.

       

      Mya AI solutions - chatbot examples

      Mya AI solutions

      Key Learnings:

      As part of its broader HR transformation and digitization strategy, the group has made a significant leap forward with this partnership. This advanced technology enhances the role of HR professionals as advisors, allowing them to focus on the qualitative and human aspects of the recruitment process.

      14. 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.

      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 request the bot to send updates on the best times to buy in specific areas. It can also identify ideal listings based on features from similar homes.

      Structurely bot - chatbot examples

      Structurely bot

      Key Learnings: 

      • In your real estate business, you can program your bot with a series of personalized questions to deliver more relevant results and gather valuable insights about your leads.
      • Train your bot to learn customers’ needs and treat them with video or text-related answers.

      Wrapping Up!

      Chatbots are a powerful addition to your toolkit, but their effectiveness lies in knowing how and when to use them to enhance the customer experience. Just as a single spice does not go well with every dish, the roles of human agents and chatbots must be thoughtfully balanced.

      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 Questions

      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.

      The four types of chatbots are- 1. rule-based chatbots that operate on pre-defined rules and scripts. 2. AI Chatbots that use machine learning and natural language processing (NLP) to understand and respond to user inputs. 3. hybrid chatbots that combine rule-based and AI capabilities to provide more flexible interactions. And 4. voice bots to interact with users through voice commands, such as Amazon’s Alexa.

      Facebook Messenger’s chatbot is an example of social media chatbot. Businesses use it to allow users to make inquiries, receive updates, and perform transactions directly within the Messenger app.

      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.

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

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

      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.

      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.

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      Snigdha Patel
      AUTHOR’S BIO

      Snigdha Patel is a customer experience researcher, author, and blogger. As part of REVE Chat, she focuses on helping organizations maximize customer experience using omnichannel messaging and conversational AI.

      She creates contextual, insightful, and conversational content for business audiences across a broad range of industries and categories like Customer Service, Customer Experience (CX), Chatbots, and more.

      Serving as the lead content strategist, Snigdha helps the customer service teams to leverage the right technology along with AI to deliver exceptional and memorable customer experiences.

      Being a customer service adherent, her goal is to show that organizations can use customer experience as a competitive advantage and win customer loyalty.

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