20+ Chatbot Examples That Will Be Changing CX in 2025

The business world is riding the modern revolution, and customer expectations are at an all-time high. For customer experience (CX) leaders like yourself, there is even little room for error. Your competitors are upgrading experiences daily, setting a standard that’s tough to match. All you need is a way to justify the two main needs of your CX game:

• A way to quickly resolve all inquiries
• A way to provide exceptional customer service

The almost swift answer to this is CX automation through AI, in particular, chatbots; once an optional tech feature, they have now become pivotal for engagement, support, and direct sales.

Today, chatbots are more than scripted responses. They’re the key to your customer service strategy, armed with artificial intelligence and data-driven capabilities to help you not only retain customers but also drive revenue.

PwC carried out studies to predict the influence of AI on businesses and found that the rise in AI will affect the role of leaders as much as the employees. CEOs were asked which part of their business benefits most from AI. Many said improving experiences for employees (40%) and customers (37%) using conversational AI.

Tidio consumer study survey (774 online business owners and 767 customers) shows that:

• By early 2024, around 80% of marketing and sales leaders have implemented or planned the implementation of AI bots into CX.
• 96% think companies should use chatbots instead of traditional support teams for a greater and better CX.
• Chatbots frequently influence 60% of all purchase decisions.

But with the vast range of options and AI features, choosing the right one can be overwhelming. That’s where we come in: let’s explore some practical chatbot examples used by real companies to inspire your chatbot strategy.

These chatbots are helping people like you drive conversions, boost engagement, and build customer trust. They are the perfect study cases to explore how AI is and will be transforming customer service, marketing, and internal operations for businesses of all sizes in the coming year 2025:

1. 1. H&M’s chatbot on Kik
2. 2. Sephora’s Virtual Artist on Facebook Messenger
3. 3. Amtrak’s Julie
4. 4. HelloFresh’s Freddy
5. 5. MobileMonkey’s chatbot
6. 6. SurveySparrow’s Survey Bot
7. 7. HealthJoy’s chatbot
8. 8. Sage by myHSA
9. 9. Najm’s WhatsApp-integrated chatbot

Chatbots in sales & marketing: Converting browsers into buyers

Instant responses for high-intent customers

For sales leaders, one of the biggest hurdles is converting browsing visitors into paying customers. Engaging customers right away is the best way to keep them on your site. A helpful chatbot catches their eye and shows them what to do next. A well-implemented chatbot can offer personalized recommendations, answer questions about product specifications, or even walk customers through the checkout process.

Let us assume:

An online clothing retailer uses a chatbot to engage customers who linger on product pages. The bot appears after 10 seconds, greeting the user by name and offering assistance or a small discount code. By keeping users engaged and reducing checkout friction, the chatbot undoubtedly increases conversions by at least 2 to 5 times

Use case:

H&M’s chatbot on Kik allows users to browse outfits based on style preferences, creating a personalized shopping experience. Customers can answer questions about their style, and the bot curates a selection of items. This “guided selling” approach is perfect for companies with various product lines, giving customers a reason to browse longer and, eventually, buy more.

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Upselling and cross-selling

Use case:

Sephora’s bot on Facebook Messenger goes beyond customer support. It helps customers find products based on preferences and skin types, upselling complementary products at every step. With its ability to show images, provide pricing, and even allow direct purchases, the bot mimics a personal shopper experience.

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Why it works:

Imagine having a bot that doesn’t just answer questions but subtly guides customers to make additional purchases. This feature can turn a regular customer interaction into a sale. A bot like this helps drive revenue without requiring a significant investment in additional staff.

Pro tip for implementation:

A chatbot that helps your customers find what they’re looking for can improve the chances they’ll purchase from you. Make responses feel human by using friendly, conversational language and dynamic responses based on user sentiment; no matter the stage of their buying journeys, whether it is a welcome message or a gratitude message, chatbots build relationships with their customers as they come. A simple “How can I help?” rather than “Select an option” adds a layer of warmth, encouraging customers to open up.

Building trust through 24/7 availability

A sales chatbot does more than answer questions—it helps customers make decisions. Businesses selling products or services online use bots to recommend products, process orders, and follow up on abandoned carts.

When your customers are left on hold for over 10 minutes just for a simple answer, it frustrates them. A smartly-designed chatbot eliminates the wait, resolving queries instantly, and leaving customers with a positive impression.

In most surveys, at least 35% of consumers are enthusiastic about chatbots. This is likely to be driven by the desire for 24/7 service.

Use cases:

Amtrak’s “Julie” chatbot answers over 5 million queries annually, covering everything from ticket reservations to travel advisories. Julie not only provides answers in seconds but also offers real-time updates on delays, which is invaluable for travelers.

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Freddy, HelloFresh’s customer service bot, does more than respond—it retains a personality that matches the brand’s voice. Freddy is designed to handle common questions, from subscription adjustments to recipe inquiries, without passing customers to a human agent.

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Why they work:

This type of chatbot is tailored for businesses with recurring questions but limited support resources. Julie’s and Freddy’s AI-driven memory allows them to retain customer data across sessions, making future interactions smoother and more efficient. For SMBs, this continuity helps save costs and ensures customers don’t have to repeat their issues.

Segmenting leads without lifting a finger

Gone are the days of sorting through endless contact forms. Today’s chatbots can qualify leads right on your website, asking strategic questions that segment prospects by intent, industry, or budget. According to a conversational marketing study, 55% of businesses believe an online chatbot helps them collect higher-quality leads.

In real-time, a lead generation bot can discern if a visitor is interested in a demo, just researching, or ready to purchase. By asking the right questions, it collects contact info and seamlessly integrates with your CRM, making it easy for your sales team to take it from there.

Your team is available for more complex problem resolution, saving time, money, and effort. Research by Salesforce reveals that 64% of CX agents with AI chatbots can spend most of their time solving complex problems versus 50% without AI chatbots.

Let us assume:

A B2B software company uses a chatbot on its pricing page to pre-qualify leads. The bot asks questions like, “How soon do you plan to implement a solution?” and “What’s your company size?” By only passing high-quality leads to sales, the team can see an increase in conversion rates from qualified leads.

Use case:

MobileMonkey’s chatbot is a master at capturing leads through Facebook Messenger. By asking targeted questions, the bot qualifies prospects automatically, directing them to sales reps only when they’re a good fit. The bot collects contact details, pain points, and preferences to streamline the hand-off process.

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Why it works:

Every qualified lead counts. This chatbot filters out unqualified leads, saving your sales team’s time. With MobileMonkey’s approach, your chatbot could become a powerhouse for engagement, freeing your team to focus on high-potential leads only.

Engaging visitors with quizzes and games

Interactive bots can captivate visitors and keep them on your site longer. From quizzes to mini-games, these bots offer an engaging experience that can improve brand recall and keep visitors returning. For example, BuzzFeed uses interactive content bots to deliver personality quizzes and fun content. You can also apply similar tactics to create a memorable brand experience.

Gathering customer feedback in real-time

Customer feedback is gold, but surveys can feel like a chore to customers. Post-purchase feedback, for example, can help brands understand satisfaction levels and adjust their strategies in real time.

Chatbots provide a unique opportunity to gather customer insights at scale. They make it easy and conversational, encouraging customers to share insights that can inform everything from product improvements to customer service enhancements.

Let us assume:

A retail brand implements a post-purchase chatbot that asks customers about their experience. The bot collects feedback on product quality, shipping time, and overall satisfaction, which the company uses to refine its customer experience strategy.

Or, say, a local coffee chain uses a survey bot to gather feedback on a new drink menu. Customers are asked a series of quick, friendly questions after their purchase, and the bot provides a discount code at the end as a thank-you. The business sees a completion rate on these surveys—far higher than traditional email surveys

Use case:

SurveySparrow’s Survey bot captures customer feedback after support interactions, helping businesses measure customer satisfaction in real time. The bot asks for feedback on service quality, product satisfaction, and overall experience, allowing the service providers to make quick adjustments based on responses.

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Why it works:

Survey bot gathers real-time insights without interrupting the user experience, which is invaluable for small teams seeking to maintain high-quality interactions. Instant feedback allows for quick, data-backed adjustments to service strategies.

Pro-tip for implementation:

When collecting feedback, keep responses anonymous to respect customer privacy and build trust. The success lies in the conversational format. Bots feel less intrusive than emails, and the instant interaction means customers are more likely to respond.

Example questions for data-collection chatbots:

“How satisfied were you with your purchase?”

“Did you find everything you needed?”

“What improvements would you like to see?”

Employee support bots: Empowering internal teams

For HR and IT departments, chatbots are transforming internal support by answering repetitive questions and freeing up resources for complex issues. As your business grows, managing internal queries becomes time-consuming. There is also the need to onboard employees quickly and effectively.

An internal support bot saves employee time, streamlining everyday tasks and keeping productivity high. Also, these bots can provide a guided, interactive introduction to the company, covering everything from policies to training schedules. This solution is perfect for leaders looking to maintain efficiency without adding extra HR or IT staff.

Let us assume:

A financial services firm implements a chatbot that provides employees with instant answers to common HR queries, such as leave balances and benefits information. By handling simple questions, the bot reduces HR ticket volume, allowing HR staff to focus on strategic work.

Use case:

Thinkstack’s Slack-integrated bot can answer questions about HR policies, help with onboarding, and offer quick support for IT issues. Your team members can simply type their questions, and the bot will provide instant answers or direct them to the right resource.

Other industry-specific chatbot use cases

Healthcare chatbots

In the case of the healthcare industry, quality care delivery is of utmost importance, and the most vital thing needed for that is data. A chatbot can be the first line of data collection for a healthcare organization–collecting vital answers for vital moments.

Let us assume:

A healthcare provider introduces a chatbot for initial symptom checking and appointment booking. Patients could input symptoms and receive recommendations, alleviating call center demand and improving patient experience. Now, no matter what time of the day, if a patient wakes up with a sudden health concern at midnight, their healthcare chatbot is ready, offering guidance without delay and giving them peace of mind until they can see a doctor.

Automated appointment scheduling

Use case:

HealthJoy’s chatbot assists patients with appointment scheduling, insurance questions, and follow-up reminders. The bot integrates with HealthJoy’s CRM, so every appointment is logged, and patients receive real-time updates.

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Why it works:

Keeping up with appointments can be challenging, but this type of bot automates tedious tasks and ensures that clients don’t fall through the cracks, freeing up employees’ time. It’s particularly useful in industries where missed appointments equal lost revenue.

Wellness budgeting

Use case:

myHSA, which helps companies manage Health Savings Accounts (HSA) for employees, collaborated with Intercom to introduce Sage, an AI-powered chatbot. This chatbot assists customers in managing wellness budgets, guiding them through HSA allocations, and answering various questions. The automation has taken the load off customer service reps, as Sage can handle 80% of inquiries independently.

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Why it works:

Sage has significantly cut labor costs and increased customer satisfaction, with 42% of users feeling empowered through self-service. For myHSA, Sage’s chatbot ensures faster resolutions and improved efficiency, with a 32% increase in automated issue resolution. This model of a chatbot, blending machine learning with human oversight, can be an inspiration for businesses looking to balance automation with personalized service.

Insurance support bots

Use case:

Najm, a major motor vehicle insurer in Saudi Arabia, transformed its traditional phone-based customer support by launching a WhatsApp-integrated chatbot. Partnering with BAB and LivePerson, Najm aimed to cut down on long wait times and provide a smoother experience for its users. This conversational marketing chatbot automates routine queries, allowing customers to handle common issues, get policy information, and manage claims directly through WhatsApp.

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Why it works:

Najm’s chatbot serves 250,000 conversations monthly, with 40% of interactions taking place on WhatsApp, meeting customers where they already are. This shift has reduced contact center costs by 60% and brought response wait times down to just 15 minutes, compared to the previous 3-hour wait. A chatbot like this can streamline customer support and cut overhead costs while creating a much faster, customer-centric experience.

Real estate chatbots

Use case:

Real estate chatbots greet potential clients on property sites, qualifying leads by collecting essential information. These bots handle inquiries like property location, price range, and availability, forwarding only serious leads to realtors.

Why it works:

Real estate can be a time-intensive business. Chatbots in this sector help the leaders capture lead details without immediate human intervention, ensuring agents only focus on ready-to-buy customers.

Crisis management bots

Use case:

Major airlines have adopted chatbots to answer common questions and update customers on delays and gate changes. This instant communication is invaluable during high-stress times, minimizing customer frustration.

Why it works:

Even for SMBs, a bot handling customer crises or urgent queries can be a game-changer. Businesses with high customer interaction volume can benefit from this example by creating a bot that helps answer high-priority questions in real-time.

Why implementing a chatbot makes financial sense for businesses

Chatbots aren’t just a luxury; they’re a cost-effective tool that’s more accessible than ever. Plus, they are great contributors to your customer service excellence strategy. With advancements in AI and no-code platforms, setting up a chatbot no longer requires heavy technical skills or budgets.

Choosing the right chatbot for your business needs

It’s tempting to go for the most popular chatbot solution, but it’s important to tailor the choice to your specific goals. Start by defining your chatbot’s purpose. Is it for sales, support, or internal queries? What’s your budget, and do you want an AI-based solution or a rules-based one?

The top 14 chatbot players for the upcoming year 2025

The chatbot market is rapidly growing, and these players are setting the standard for 2025:

1. LivePerson

Best for: Large-scale businesses

LivePerson excels in conversational AI, using deep learning to deliver exceptional customer service for enterprises that need scalable, personalized support.

2. Drift

Best for: Businesses of any size

Drift leads in sales and marketing chatbots, focusing on lead qualification and customer engagement to help drive revenue through conversations.

3. Thinkstack

Best for: Businesses of any size

Thinkstack delivers high-performance chatbots tailored for customer service, marketing, and sales. It’s ideal for optimizing customer interactions across the buyer journey.

4. Intercom

Best for: SMBs

Intercom provides a robust platform for customer support and automated messaging. It’s a popular choice for SaaS companies and startups due to its user-friendly tools.

5. Tidio

Best for: SMBs

Tidio is a user-friendly chatbot platform perfect for small businesses and eCommerce. It combines live chat and AI tools to provide fast, personalized support.

6. HubSpot Chatbot

Best for: SMBs

HubSpot Chatbot integrates seamlessly with HubSpot CRM, making it a great solution focused on lead generation and marketing automation.

7. Botpress

Best for: Businesses of any size

Botpress is an open-source platform ideal for developers building custom chatbots. Its flexibility and robust tools make it a preferred choice for technical teams.

8. Zendesk Answer Bot

Best for: Businesses of any size

Zendesk Answer Bot integrates smoothly into Zendesk’s customer support ecosystem, helping resolve queries efficiently and at scale.

9. Chatbase

Best for: Businesses of any size

Chatbase analyzes chatbot performance, helping optimize interactions and enhance user experiences across multiple channels.

10. ManyChat

Best for: SMBs

ManyChat specializes in social media chatbots, especially for Facebook Messenger. It’s highly effective for eCommerce players looking to boost sales and customer engagement.

11. Yellow.ai

Best for: Large businesses

Yellow.ai is a global leader in conversational AI, offering highly customizable solutions tailored for large-scale businesses with diverse customer needs.

12. REVE Chat

Best for: Businesses of any size

REVE Chat combines AI-powered chatbots and live chat solutions, helping improve customer engagement while maintaining a human touch.

13. MobileMonkey

Best for: SMBs

MobileMonkey offers versatile chat solutions for social media platforms and SMS, making it a strong choice for businesses targeting mobile-first communication.

14. Ada

Best for: Large businesses

Ada delivers AI-powered support with robust multi-language capabilities, making it ideal for global enterprises needing customized, scalable customer service.

Key takeaway for leaders: Why do you need a chatbot strategy now?

Chatbots are more than a customer service tool—they’re becoming part of your brand’s identity, shaping each customer’s experience. The right chatbot can differentiate between a smooth customer journey and a frustrating one. Start small, measure the impact, and let your chatbot grow with your business.