Chatbot examples: 12 best bots to consider in 2025
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Leaders in the customer service sector face constant challenges:
- A high volume of inquiries.
- The need for quick resolution.
- The drive to maintain exceptional service standards.
The solution? Chatbots. From handling simple queries to managing complex customer interactions, these invaluable assets are transforming the customer service market.
As we explore chatbot examples, you’ll discover how chatbots can be customized to suit your specific business needs. They offer a seamless, efficient, and cost-effective solution to enhance your customer service experience.
The power of chatbots in business strategies
Imagine a scenario where a customer seeks information about a product or service.The chatbot, equipped with a wealth of knowledge, swiftly provides detailed specifications, and pricing details, and even recommends related items based on the customer’s preferences. This not only streamlines the information-seeking process but also enhances the overall customer experience.
The chatbot sector is experiencing remarkable financial growth, with estimated revenues reaching approximately $137.6 million in 2023. Projections indicate a substantial increase, foreseeing a surge to $454.8 million by 2027. In 2018, the market’s revenue was a modest $40.9 million.
Integrating customer service chatbots into business strategies marks a significant turning point. It is comparable to hiring a skilled multitasker capable of handling various tasks simultaneously.These chatbots are not just about handling customer inquiries; they go a step further.
They’re capable of capturing and analyzing valuable data from each interaction, turning every conversation into an opportunity for deeper insight.
This data-driven approach equips companies with the intelligence needed to tailor products, services, and marketing strategies to meet the evolving needs of their audience.
As companies adapt to new challenges, these digital assistants are not just helpful tools—they’re transforming how businesses succeed in customer satisfaction and engagement, driving them to new heights in a constantly evolving market.
Customer service chatbot examples
Leading customer service chatbots showcase how managing inquiries, offering personalized interactions, and boosting efficiency transform customer service. Top examples, including chatbots by DevRev, Facebook Messenger, Starbucks, H&M, Domino’s Pizza, Siri, Alexa, Uber, Kayak, Spotify, and Sephora, highlight their diverse applications and benefits. (Source)
- DevRev
- Customer service: Facebook Messenger, Starbucks
- Sales and e-commerce: H&M, Domino’s Pizza
- Smart home and personal assistance: Siri, Alexa
- Travel and navigation: Uber, Kayak
- Entertainment and lifestyle: Spotify, Sephora
1. DevRev’s Turing AI
DevRev is a Support CRM platform that is at the forefront of innovation. It seamlessly consolidates product, support, and growth tools into a unified platform.
By streamlining collaboration and bridging departmental divides (developers and support executives’ end), DevRev empowers teams to revolve around their protagonist- the customer.
- Automate first-line support: Turing AI automates initial support, streamlining response time and reducing the workload on human agents.
- Extract product insight in minutes: Turing AI accelerates the extraction of product insights, transforming a process that used to take days into a matter of minutes.
- Similar tickets: Turing AI identifies patterns in tickets, recommending solutions based on similarities, enabling faster resolution of common issues.
- Automate knowledge base: Turing AI goes beyond responses, generating articles for the knowledge base directly from conversational interactions.
Benefits:
- User empowerment: Users can quickly find solutions through advanced search and auto-generated answers. This fosters a self-service approach.
- Customer-centric prioritization: Rapid analysis allows businesses to prioritize issues with the most significant customer impact, enhancing overall customer satisfaction.
- Knowledge transfer: Facilitates knowledge transfer by leveraging solutions from past interactions, reducing redundancy, and improving efficiency.
- Continuous improvement: The automated knowledge base ensures a dynamic and evolving resource, adapting to the evolving needs of both customers and support teams.
Example:
- User query- “How do I troubleshoot my device?”
- Turing AI’s response- “Certainly! Here are the steps to troubleshoot your device: [Auto-generated troubleshooting guide]. If you need further assistance, feel free to ask!”
2. Apple’s Siri: Transforming virtual assistance
Apple’s Siri, the virtual assistant pioneer, transforms the way users interact with their devices. Siri’s chatbot functionalities, driven by advanced natural language processing, offer hands-free convenience, personalization, and multifunctional support across Apple devices.
Features:
- Natural language understanding: Siri’s advanced natural language processing enables users to interact with their devices in a conversational manner.
- Task automation: Siri can perform tasks like setting reminders, sending messages, and making calls with voice commands.
- Integration across devices: Seamlessly integrated across Apple devices, Siri provides a consistent virtual assistant experience.
Benefits:
- Hands-free convenience: Users can perform various tasks without touching their devices, enhancing convenience.
- Personalization: Siri learns user preferences over time, tailoring responses and recommendations based on individual habits.
- Multifunctional support: From answering queries to controlling smart home devices, Siri serves as a versatile virtual assistant.
Example:
User inquiry- “Siri, what’s the weather today?”
Siri’s response- “The weather today in your location is sunny with a high of 75°F.”
3. Amazon’s Alexa: Redefining smart home experiences
Amazon’s Alexa, a powerhouse in smart home technology, redefines user experiences through seamless integration with a wide range of devices. The Alexa chatbot excels in smart home automation, customization, and entertainment.
Features:
- Smart home integration: Alexa seamlessly connects with a wide range of smart home devices for voice-controlled automation.
- Skills and customization: Users can enhance Alexa’s capabilities through skills, expanding its functionality to suit individual needs.
- Shopping and entertainment: Alexa facilitates hands-free shopping on Amazon and controls media playback.
Benefits:
- Home automation: Users can control lights, thermostats, and other devices using voice commands.
- Entertainment hub: Alexa serves as a central hub for music, audiobooks, and streaming services.
- Personalized routines: Customizable routines enable users to automate multiple actions with a single command.
Example:
User inquiry- “Alexa, add milk to my shopping list."
Alexa’s response- “Milk added to your shopping list.”
4. Facebook Messenger: Business chatbot hub
Facebook Messenger emerges as a dynamic business chatbot hub, enabling direct engagement, increasing conversions, and providing 24/7 support. Messenger bots handle transactions and inquiries, reshaping customer interactions.
Features:
- Messenger bots: Businesses can deploy chatbots on Messenger to interact with customers.
- Transaction capabilities: Users can make purchases and reservations directly through Messenger.
- Automated customer support: Messenger bots handle customer queries and provide real-time assistance.
Benefits:
- Direct engagement: Brands can engage with customers in a familiar messaging environment.
- Increased conversions: Seamless transactions within Messenger enhance user convenience and boost conversion rates.
- 24/7 support: Bots handle customer inquiries, reducing the workload on the customer support team.
Example:
User inquiry- “Can I track my order?”
Messenger bot response- “Sure! Please provide your order number, and I’ll fetch the details for you.”
5. Google’s Duplex: Advancing Conversational AI
Google’s Duplex advances conversational AI with its natural conversation flow, appointment booking capabilities, and seamless integration with Google services. Duplex streamlines tasks saves time, and enhances user-friendly interactions.
Features:
- Natural conversation flow: Duplex engages in natural-sounding conversations, making interactions more human-like.
- Appointment booking: Users can instruct Duplex to book appointments and reservations on their behalf.
- Integration with Google services: Duplex smoothly integrates with Google Calendar and Maps.
Benefits:
- Time-saving: Duplex automates tasks like scheduling appointments, saving users time.
- Efficient communication: Duplex can navigate complex conversations, improving communication accuracy.
- User-friendly interface: The conversational interface makes interactions with technology more accessible.
Example:
User instruction- “Duplex, schedule a haircut appointment for tomorrow afternoon.”
Duplex’s response- “Sure, I’ll take care of that for you.”
6. Starbucks: Personalized customer experiences
Starbucks, synonymous with personalized coffee experiences, extends its touch through a chatbot. The Starbucks chatbot offers streamlined ordering, enhanced loyalty through rewards integration, and convenient customer support.
Features:
- Order customization: Starbucks chatbot allows users to customize and place their orders.
- Rewards integration: The chatbot seamlessly integrates with the Starbucks Rewards program.
- Recommendations: Users receive personalized drink recommendations based on their preferences.
Benefits:
- Streamlined ordering: Customers can order and pay through the chatbot, reducing wait times.
- Enhanced loyalty: Integration with the rewards program encourages customer loyalty.
- Convenient customer support: The chatbot assists with inquiries about menu items and promotions.
Example:
User inquiry- “What’s the featured drink today?”
Starbucks chatbot response- “Our featured drink today is the Pumpkin Spice Latte. Would you like to try it?”
7. H&M: Fashion forward chatbot assistance
H&M, a fashion-forward brand, brings personalized shopping to the forefront through its chatbot. The H&M chatbot offers style recommendations, order tracking, and size and fit assistance for a hassle-free fashion experience.
Features:
- Style recommendations: The chatbot suggests fashion items based on user preferences.
- Order tracking: Users can track their orders and get real-time updates through the chatbot.
- Size and fit assistance: The chatbot helps users find the right size and fit for clothing items.
Benefits:
- Personalized shopping experience: Users receive tailored fashion suggestions.
- Order management: Hassle-less order tracking and status updates enhance customer satisfaction.
- Reduced returns: Size and fit assistance contribute to fewer returns and exchanges.
Example:
User query- “Can you recommend a casual outfit for a weekend getaway?”
H&M chatbot response- “Certainly! How about a pair of denim jeans and a comfortable graphic tee? You can find them in our latest collection.”
8. Spotify- Revolutionizing music discovery
Spotify revolutionizes music discovery through its chatbot, offering personalized playlists, song recommendations, and a conversational interface. The Spotify chatbot brings convenience and engagement to music exploration.
Features:
- Personalized playlists: Spotify’s chatbot curates playlists based on user preferences.
- Song recommendations: Users can ask for song recommendations tailored to specific moods or genres.
- Conversational interface: The chatbot engages users in a conversational manner for a more interactive experience.
Benefits:
- Enhanced music discovery: Personalized playlists and recommendations introduce users to new music.
- Convenience: Users can control music playback and explore new genres without leaving the chat.
- Engagement: The conversational interface makes music exploration more engaging.
Example:
User request- “Create a workout playlist for me.”
Spotify chatbot response- “Sure thing! I’ll include high-energy tracks to keep you motivated during your workout.”
9. Domino’s Pizza: Chatbot delivers ordering convenience
Domino’s Pizza elevates the pizza-ordering experience through its chatbot. The Domino’s chatbot allows users to effortlessly place orders, track deliveries in real-time, and stay informed about promotions and deals.
Features:
- Order placement: Users can place pizza orders and customize toppings through the chatbot.
- Order tracking: Real-time order tracking keeps users informed about their delivery.
- Promotions and deals: The chatbot notifies users of ongoing promotions and suggests money-saving deals.
Benefits:
- Effortless ordering: Customers can order their favorite pizza with a few simple commands.
- Transparent delivery: Real-time tracking enhances the user experience and reduces uncertainty.
- Promotion awareness: Users stay informed about the latest deals, contributing to increased sales.
Example:
User instruction- “I’d like to order a large pepperoni pizza.”
Domino’s chatbot response- “Great choice! I’ve added a large pepperoni pizza to your order. Anything else?”
10. Uber: Seamless ride booking and navigation
Uber revolutionizes transportation by providing a convenient and efficient ride-hailing service. The Uber chatbot seamlessly integrates with the platform, offering users a streamlined experience for booking rides, tracking drivers, and obtaining fare estimates.
Features:
- Ride booking: Users can book rides and track their drivers through the chatbot.
- Location sharing: The chatbot facilitates real-time location sharing for precise pickups.
- Fare estimation: Users can inquire about fare estimates and payment details through the chatbot.
Benefits:
- Efficient transportation: Effortless ride booking and tracking enhance the overall user experience.
- Safety: Real-time location sharing contributes to safer pickups.
- Convenient fare information: Users can plan their trips with accurate fare estimates.
Example:
User inquiry- “Can I get an estimate for a ride from my location to the airport?”
Uber chatbot response- “Sure, I’ll provide you with a fare estimate. Please wait a moment.”
11. Sephora: Beauty at your fingertips
Sephora, a leading beauty retailer, extends its reach through a chatbot that brings the beauty counter to your fingertips. The Sephora chatbot suggests personalized beauty products, offers makeup tutorials, and even allows virtual try-ons, enhancing the overall online shopping experience.
Features:
- Product recommendations: Sephora’s chatbot suggests beauty products based on user preferences.
- Makeup tutorials: Users can access makeup tutorials and beauty tips through the chatbot.
- Virtual try-on: The chatbot enables users to virtually try on makeup products before purchasing.
Benefits:
- Personalized beauty guidance: Users receive tailored product recommendations and makeup tips.
- Interactive beauty experience: Virtual try-on enhance the online shopping experience.
- Convenient assistance: Users can get beauty advice without leaving the chat platform.
Example:
User query- “Can you recommend a long-lasting foundation for oily skin?”
Sephora chatbot response- “Certainly! I recommend trying our ‘Matte Finish Foundation.’ It’s designed for oily skin and provides long-lasting coverage.”
12. Kayak: Your travel assistant
Kayak, a comprehensive travel platform, transforms travel planning with its chatbot. Serving as your travel assistant, the Kayak chatbot facilitates flight and hotel searches, provides booking assistance, and keeps users informed with real-time travel alerts.
Features:
- Flight and hotel searches: Users can search for flights and hotels through the chatbot.
- Booking assistance: The chatbot assists with the booking process and provides options.
- Travel alerts: Users receive travel alerts, including flight delays and gate changes.
Benefits:
- Streamlined travel planning: Users can plan and book their trips without leaving the chat platform.
- Real-time updates: Travel alerts keep users informed about changes to their itinerary.
- Personalized recommendations: The chatbot suggests travel options based on user preferences.
Example:
User request- “Find me a flight from New York to Paris for next week.”
Kayak chatbot response- “Sure, I’ll search for available flights. Please wait a moment.”
Future trends in chatbot development
In the near future, chatbot technology is poised to become more user-friendly, based on their current trajectory. They will provide personalized responses by learning from past user data, and we’ll see more voice-activated and multimodal bots that can interact via text and speech. These advancements will make chatbots more intuitive, efficient, and integral to customer service and engagement across various industries.
Primary support channel
Chatbots are anticipated to become the primary customer support channel for 25% of companies by 2027. They are set to redefine customer service strategies.With their ability to provide instant responses and streamline query resolution, businesses are embracing chatbots to enhance customer interactions.
Transaction volume
Chatbots made a resounding impact on economic transactions, reaching a substantial transaction volume of $112 billion this year. This figure not only underscores the increasing reliance on chatbots for facilitating seamless business transactions but also signifies a transformative shift in how consumers engage with services. As we move beyond 2023, the momentum gained in this year is set to propel chatbots into an even more integral role in shaping the future of transactions across industries.
Tech trend prediction
One-third of AI startup founders predict that chatbots will emerge as the most popular customer technology in the next five years. This emphasizes their integral role in customer-focused innovations. Organizations see adoption of chatbots not just as another service tool but as catalysts for innovation, shaping the way they engage with their audience.
Productivity gains
Chatbots are expected to contribute significantly to efficiency gains, with a projection to save businesses up to 2.5 billion hours of work in 2023, showcasing their impact on streamlining operations. By automating routine tasks and providing quick access to information, chatbots empower teams to focus on strategic initiatives, driving overall productivity gains.
Global market expansion
The global chatbot market is witnessing a steady ascent, with an estimated value of $994 million by 2025. Businesses worldwide are recognizing the value of integrating chatbots into their marketing and customer support processes, signifying a widespread adoption of this transformative technology. As the market expands, chatbots are poised to become integral components of global business strategies, reshaping how companies engage with their audiences on a global scale.
The way forward with chatbots
Chatbots have become indispensable for organizations looking to improve customer service, streamline operations, and boost growth. From managing high volumes of inquiries to providing quick and efficient resolutions, chatbots like DevRev’s Turing AI are transforming the customer service industry.
The future of chatbots looks promising with advancements in natural language processing, AI-driven analytics, and integration with virtual and augmented reality. As chatbots become more intuitive and human-like, they are set to become primary support channels, driving significant productivity gains and reshaping customer engagement strategies worldwide.
Now is the perfect time to embrace the power of chatbots for your business. By integrating a solution like DevRev’s Turing AI, you can automate support, extract actionable insights, and deliver exceptional customer experiences. Schedule a personalized demo today to see how DevRev can enhance your customer service strategy.
Frequently Asked Questions
An example of a chatbot is "ChatGPT," developed by OpenAI. It uses natural language processing to engage in conversations, answer questions, and assist users. Other examples include Facebook's Messenger Bot and Google's Duplex, which showcase the diverse applications of chatbots in various domains.
The four types of chatbots are rule-based, AI-based, intent-based, and hybrid. Rule-based chatbots follow predefined rules, AI-based leverage machine learning for advanced interactions, intent-based focus on user intent, and hybrid combine rule-based and AI elements for a versatile conversational experience across different scenarios.
Determining the "best" chatbot is subjective, as it depends on specific needs. Across industries, notable chatbot implementations include customer service bots like those by major airlines, e-commerce bots for streamlined shopping experiences, and healthcare bots facilitating medical inquiries. Each excels in its domain, catering to unique user requirements.
An example of ChatGPT is the implementation by OpenAI itself. OpenAI has showcased the capabilities of ChatGPT in various contexts, demonstrating its effectiveness in generating human-like responses and engaging in meaningful conversations across different domains. ChatGPT is an exemplary instance of a chatbot utilizing advanced language processing. Known for its versatile conversational abilities, it engages users across various topics, making it applicable for customer support, content generation, and more. Its dynamic responses showcase the potential of natural language understanding in AI-driven interactions.
Certainly, chatbots can engage in conversations. Using natural language processing, they understand user inputs and provide relevant responses. Advances in AI have enhanced chatbots' ability to hold meaningful and context-aware conversations, making them valuable for customer support, information retrieval, and various interactive applications. Examples include virtual assistants like Siri and Google Assistant for daily interactions, customer support bots on websites, and language learning bots such as Duolingo.
Numerous websites employ chatbots for enhanced user engagement. E-commerce platforms like Amazon use them for customer support, while news websites such as CNN implement chatbots for information delivery. Financial institutions like Bank of America utilize chatbots for seamless online assistance, highlighting the widespread adoption across various industries.
The purpose of a chatbot is to facilitate efficient and automated communication between users and systems. It serves various functions, including providing information, assisting with tasks, and enhancing user experience. Chatbots streamline interactions, offer real-time support, and contribute to personalized and responsive engagement across different domains.
Determining the most powerful AI chatbot is subjective and context-dependent. Notable examples include OpenAI's GPT-4, renowned for advanced language capabilities. Industry-specific solutions like IBM Watson in healthcare and Google's language models showcase power in specialized domains. The effectiveness of a chatbot often depends on the specific requirements and use cases.