14 Real Life Chatbot Examples to Implement your Bot Strategy

Chatbot examples

Artificial intelligence (AI) has brought a transformational wave in the past few years. It has immersed itself as a go-to technology for every industry you can imagine. 47% of digitally mature organizations say they have a defined AI strategy.

Some of the successful chatbot examples and case studies implemented by big brands show that customers are willing to interact with bots if done correctly. Hence, following the right bot strategy and designing your chatbot to meet your use case plays an important role in the overall customer experience.

How can you implement your bot strategy by learning from the best chatbot examples?

Irrespective of the nature of your business there must be some functions or customer communication channels that can be automated to enhance your overall business growth. Many brands are still unsure about how a chatbot fits into their strategy. 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 AI has been leveraged successfully and the best examples of chatbots for marketing, customer support, user engagement will help you to enhance your business productivity and customer experience.


#1. Chatbot example: Slush

Customers expect an immediate response when they reach out to a company for any support. To deliver real time and high-quality support to a large number of customers is not an easy job. An AI enabled chatbot is the best option to handle the ‘n’ number of conversations with 24×7 engagement. 

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

Slush witnessed chatbot benefits for customer services by instantly answering to the event-based basic questions 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 with Slush than the previous year.

The Jenny chatbot handled questions from approximately 20,000 attendees. 

Key learning:

No matter what is the size of the company or customer base, if you are setting up a big event or have a big product that generates a lot of customer support requests, a chatbot is an effective tool that can significantly reduce the customer support team’s workload, thereby enabling them to provide high-quality support to the company’s target audience.

#2. Chatbot example: Vainu

A perfect combination of lead generation and a chatbot can bring your business a good number of leads. For lead generation, the primary method is to fill up forms. Well, the chance of converting your customers with a lead generation form is between 2.5% to 5%. Businesses can add a chatbot for those website visitors who do not prefer filling up lead generation forms. The chatbot can ask relevant questions and can be more engaging for customers to submit their contact information. 

Vainu, a data analytics service, created their VainuBot to meet the same purpose. The bot asks prequalifying questions to the visitors and engages them. Visitors can quickly make choices by simply selecting the option most relevant to them.


The Vainubot 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. 

#3. Chatbot example: Dominos

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

Dominos has the best Facebook messenger chatbot example. It used the bot to make the ordering process faster. The famed restaurant offers the easiest way to order a pizza from “Anywhere”. They are making their chatbot widespread and expanding its capabilities. 

As today’s customers use different messaging channels to connect with a brand, they offer customers the benefit of ordering pizza from anywhere – through Facebook Messenger, texting, Amazon Alexa, Slack, Zero Click, Twitter, Smart Wi-Fi enabled cars, smart TVs, or even 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 learning:

  • You can make use of bots to save the time of your users by reducing the number of steps to get a thing they are looking for.
  • Besides providing engaging and straightforward communication, provide the benefit of convenience to your customers. They don’t have to download an extra app to their phone, dial the phone numbers, or open a website to order their pizza. All the customers do is joining a conversation with the bot in Messenger!

#4. Chatbot example: HDFC Bank

The finance industry and chatbot make a great partnership and really play well together. 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 following chatbot best practices

Eva is India’s first and largest Artificial Intelligence-powered banking chatbot. Eva was built with the aim to leverage the latest technologies to help serve our customers better and faster. It uses the latest in AI and 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 bot by giving a name that matches your brand image. 

#5. Chatbot example: KLM Royal Dutch Airlines

Artificial intelligence has been a game-changer for the travel industry by helping travelers and companies simplifying travel arrangements and streamlining business procedures. A travel chatbot is accessible 24×7, supports multiple languages, and provides real time response to travelers’ queries and is also available Facebook Messenger app.

KLM is the oldest airline in the world. It had to respond to 15,000 social conversations in different languages typically in a week. In order to handle the process seamlessly, KLM implemented a chatbot called “BB” (BlueBot) to provide faster, effective, and personalized customer support. It is the best Facebook Messenger chatbot example. 

They used the bot on the checkout page so that people can opt-in to receive booking confirmation, check-in notification, boarding pass, and flight status updates via Messenger itself. The chatbot has 13 languages and it was built in order to improve and simplify customer service


In the first month, their volume of Facebook messages hiked to 40%. The bot handles 16,000 customer interactions weekly, as covered on the MarTech Today blog. KLM mentioned that 1.7 million messages have been sent on Messenger by over 500,000 people.

Key learnings:

  • Travel bots are able to solve queries, give suggestions, or initiate transactions. With so much potential comes the added benefit of all-time availability. 
  • Bots ensure enhanced customers’ engagement with the brand even more than an app. In addition, chatbots by handling routine queries, save precious time of 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 are able to personalize the travelers’ experience. This will bring the personal touch expected by travelers for a long time.

#6. Chatbot example: Marriott Hotel

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 has one of the best chatbots by far. They have introduced the ChatBotler, available to guests through text message. Using the bot will 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 text to request services, information about the hotel
  • Listen to the brand’s playlist
  • Connect with the front desk team during their stay


Apart from that, Marriott rewards members can interact with chatbots on Facebook Messenger to research and book travel at more than 4,700 hotels.

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. 
  • In this chatbot example, the key learning is to 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. Chatbot example: Babylon Health 

The healthcare industry has an innovative opportunity to capitalize on chatbots. The rise of health and fitness apps are the best chatbot examples. These bots help in boosting healthcare customer experience by personalizing the health needs of the user.

Babylon Health is well known British online subscription service that has used bots to offer consultation 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 Takeaways:

  • 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 client’s records is a great step at 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. Chatbot example: H&M

Global revenue from artificial intelligence is expected to grow rapidly from $643.7 million in 2016 to $36.8 billion by 2025. And e-commerce businesses have grabbed a fair share of the pie. Startups or small online businesses generally lack resources. With automation, they are able to manage several conversations with their customers at a time. H&M is a global fashion company that shows a perfect example of an e-commerce chatbot. The bot helps the mobile customers navigate their search through outfit possibilities and guide you to the online store areas that align with your 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 some options: shop – direct link to the H&M internet shop; save – archive, your outfit; share – via social networks, email, etc.; next outfit –  provides a new outfit suggestion

H&M chatbot example

H&M’s consistent increased sales over the past year and along with 11 new H&M online markets appear to signify positive results for its chatbot implementation.

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. Chatbot example: Adidas Women

Chatbots are customer support win-win. Customers win because they get real-time, 24×7 support for their basic questions. And businesses win because they can 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 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 to find out updates immediately without having to reach out for them. The users can directly interact with the bot, and receive updates in a messaging format that they are already comfortable and familiar with.

Key learnings:

  • Implement 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. Chatbot example: Sephora

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 can personalize user experience. 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 Takeaways: 

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

#11. Chatbot example: CNN chatbot

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 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.

Key learning

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

#12. Chatbot example: L’Oreal

L’Oréal, the world’s leading beauty company, employs 82,600 people worldwide. It is present across all distribution networks such as mass market, 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.

Mya AI solutions - chatbot examples

How does Mya function?

  • Mya can chat to 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 alert 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.

Nilesh Bhoite, Chief Digital Officer for HR at L’Oréal says, the results of the first 10,000 recruiting conversations show that Mya engages with 92% of our candidates in an efficient way and achieves a near 100% satisfaction rate.

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 really focus on the qualitative and human dimension of the recruitment process.

#13. Chatbot example: Structurely

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

A chatbot helps in collecting contact information, provide 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 below chatbot conversation example shows Holmes returns a related property based on the kitchen from another property.


Key learnings: 

  • While 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.

#14. Chatbot example: Contact center

Chatbots and other advanced technologies are already helping transform call centers across the globe. Bots can handle simple requests such as changing a password, requesting a balance, scheduling an appointment, etc with no human involvement.

Chatbots help contact centers to save costs significantly when businesses upgrade from inefficient IVR technology to AI. According to Chatbots Magazine, businesses can reduce customer service costs by up to 30% by implementing a conversational chatbot.

Common use cases:

  • 24×7 support: Employing staff 24×7 in your contact center can be costly. Adding resources to support multiple lines of business and languages hikes the headcount to handle customer queries around the clock.
  • Cost-effectiveness: The QATC report says contact center attrition rates are twice the average of all other industries combined (30% – 45% compared to the U.S. average of 15%). Bots can greatly reduce the number of human agents required and also improve on employee attrition ratio which is due to the repetitive nature of routine calls.

Bottom line

Chatbots can be a really great tool in different business verticals.  But it is an absolute matter of understanding how and when to apply this tool to deliver a better customer experience. Like a single spice cannot be used for all recipes, the same is for human agents and chatbots. 

Customers crave simple and easy interactions, it just so happens that humans can provide these. And chatbots can provide them too, it is just a matter of identifying when and why users do not want to use chatbots and properly identifying when they want to use them and how we can enable customers to use them better. Hopefully, the above chatbot examples will help you to learn the right implementation of your bot strategy.


Snigdha Patel
Author’s Bio

An avid reader, eclectic writer, blogger, and content writer by profession at REVE Chat, Snigdha Patel endeavors assiduously to understand complex support channels and provide information regarding them through comprehensive blog posts.

Share via
Copy link