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How Businesses Use AI Chatbots and Voice Agents to Improve Customer Experience [2025]

How Businesses Use AI Chatbots and Voice Agents to Improve Customer Experience [2025]

In an era where the use of AI is becoming deeply entrenched in our day to day routine, businesses too, are constantly seeking ways to improve customer satisfaction and streamline operations with AI. One of the most effective solutions emerging in recent years is the use of AI in customer service. With AI-powered tools, companies can enhance the customer experience by providing efficient, personalized, and round-the-clock support.

Let's explore how artificial intelligence is reshaping customer service, along with the major benefits it offers to both businesses and customers.

Understanding AI in Customer Service

Artificial Intelligence (AI) has become an integral part of modern customer service strategies.

AI chatbots are becoming an increasingly popular tool in customer service

By leveraging AI, companies can automate routine tasks, allowing human agents to focus on more complex issues.

Recent statistics underscore this shift: a 2023 Gartner study revealed that 80% of companies are utilizing AI to improve customer experience. Moreover, around 80% of customers who have interacted with AI-driven customer service reported positive experiences, highlighting the technology's potential to foster greater satisfaction and loyalty.

AI Agents: The New Frontline

AI assistants have become the new frontline in customer service. These digital agents can manage a vast array of customer interactions, ranging from answering FAQs to processing orders. AI support agents use natural language processing (NLP) to understand customer questions. They can respond in a way that feels like a conversation with a human.

Routine Tasks Handled by AI

AI excels at managing routine customer service tasks, freeing up human agents for more critical issues. Tasks such as resetting passwords, providing account information, and tracking orders can be efficiently handled by AI, reducing wait times and increasing customer satisfaction. This not only improves efficiency but also allows companies to allocate resources more effectively.

Benefits of AI in Customer Service

The integration of AI in customer service offers numerous benefits, making it a valuable asset for companies looking to enhance their customer support operations.

Improved Efficiency and Response Times

One of the primary benefits of AI in customer service is improved efficiency. AI systems can handle multiple inquiries simultaneously, ensuring that customers receive prompt responses without long wait times. This capability is particularly beneficial during peak times, when customer service teams are overwhelmed with inquiries.

Personalization at Scale

AI customer service solutions can analyze customer data to provide personalized experiences. By understanding individual preferences and behaviors, AI tools can tailor responses and recommendations, enhancing customer satisfaction and loyalty. This level of personalization, once only possible through human interaction, is now achievable at scale with AI.

24/7 Availability

AI-powered customer service platforms offer round-the-clock support, ensuring that customer inquiries are addressed at any time of day. This availability is crucial for businesses with global customer bases, as it allows them to provide consistent service across different time zones.

How to Use AI in Customer Service

Implementing AI in customer service requires careful planning and execution. Here are some key strategies to consider when integrating AI into your support operations:

Choosing the Right AI Tools

Selecting the right AI tools is crucial for a successful implementation. Consider the specific needs of your business and customers when evaluating AI customer service software. Look for solutions that offer scalability, integration with existing systems, and robust data analysis capabilities.

AI chatbot building software like Wonderchat allows for a seamless set-up process and for businesses to resolve their queries instantly and effectively.

Training AI Systems

AI systems require continuous training to improve their performance. Use historical customer interaction data to teach AI support agents how to handle various scenarios. Regularly updating and refining these systems ensures that they remain effective and relevant.

Integrating AI with Human Support

AI should complement, not replace, human support. Integrating AI with human agents allows for a seamless transition when complex issues arise. Ensure that AI systems can escalate inquiries to human agents when necessary, maintaining a high level of customer service.

Examples of AI in Customer Service

Many companies are already leveraging AI to enhance their customer service offerings. Here are some real-world examples of how AI is being used in the industry:

AI-Powered Chatbots

Chatbots powered by AI are increasingly common on company websites and social media platforms. They provide instant responses to customer inquiries, guide users through troubleshooting processes, and even facilitate transactions.

Businesses like H&M and Sephora use AI chatbots to enhance the shopping experience and boost customer engagement. These AI assistants for customer service can deflect simple repetitive queries, while ensuring high customer satisfaction.

Case Study: Sephora's AI Chatbots helped to Boost Sales and Customer Experience

Sephora has been a pioneer in beauty tech since 2016, launching its AI Virtual Artist, an innovative AI chatbot that merges artificial intelligence with augmented reality (AR) to help users explore and try on makeup virtually.

Sephora's AI Virtual Artist

By asking about preferences, skin tones, and beauty goals, the AI chatbot provides personalized product recommendations and shows how cosmetics will appear in real time—making the shopping experience both engaging and tailored.

Beyond virtual try-ons, Sephora’s AI chatbot enhances the omnichannel journey by allowing customers to reserve products, check store availability, ask about return policies, and schedule in-store pickups—all through a natural, conversational interface.

In-store, beauty advisors continue this experience by offering personalized advice, creating a seamless bridge between online and offline shopping.

The results? Higher engagement, increased customer satisfaction, and improved conversion rates. Users who interacted with the AI chatbot were significantly more likely to make a purchase, proving the power of AI-driven personalization in boosting sales.

This led to over 9,000 users on the bot (6,000 in Singapore and 3,000 in Malaysia) within a year, over 332,000 conversation sessions (250,000+ in Singapore and 82,000 in Malaysia), and a $30,000 average incremental monthly revenue (eTail).

AI in Call Centers

AI is revolutionizing call centers by automating routine tasks and providing agents with real-time insights. For instance, AI can transcribe and analyze customer calls, offering agents suggestions for resolving issues more effectively. Companies like American Express and Bank of America utilize AI to streamline their call center operations and improve service quality.


Case Study: American Express Uses AI To Streamline Call Support

Bank of America CEO Brian Moynihan recently shared on FOX Network’s Mornings With Maria how the firm is leveraging AI to streamline customer interactions - highlighting its virtual AI Voice based financial assistant, Erica, which has logged over 10 million hours of conversations since its launch in June 2018.

"We started on it eight years ago. It now has, based on a billion and a half interactions, about 150 to 160 million a quarter. And what’s interesting about that is each one of those would’ve been a phone call or a visit to a branch or something else. So, people can use it, and they like it – the satisfaction of those customers is huge, 18 to 20 million people using it." (Fox News)

Check out our other article on how AI voice agents are transforming customer support through natural, conversational interactions.

Predictive Customer Insights

AI enables businesses to analyze vast amounts of customer data to anticipate future behaviors and needs. By leveraging these predictive insights, companies can proactively resolve issues, deliver personalized recommendations, and boost overall customer satisfaction. Industry leaders like Netflix and Amazon use AI-driven data analysis to tailor content and product suggestions, enhancing the user experience.

Similarly, Bank of America CEO Brian Moynihan highlighted the power of AI in delivering predictive support through their virtual assistant, Erica.

“Erica is voice-activated if you want, or you can type it in. It uses predictive language to answer questions based on your input and our data,” Moynihan explained in a recent interview. “It’s a very sophisticated system—not like ChatGPT pulling from the entire internet—but one designed specifically around our information and customer needs.”

While AI can not only enhance customer experience, it can also be used by company to predict the customer's needs.

The Future of AI in Customer Service

As AI technology continues to evolve, its role in customer service will only expand. Future advancements may include more sophisticated virtual assistants, deeper integration with other business systems, and enhanced data analytics capabilities. Companies that embrace these innovations will be well-positioned to deliver exceptional customer experiences and maintain a competitive edge in the marketplace.

It is also worth noting that while AI will serve a key role in customer service, it is best utilized hand in hand with human assisted support, as a human colleague is required to still oversee the AI performance and to make fixes where it falls short.

Conclusion

AI support in customer service is transforming the way businesses interact with their customers. By automating routine tasks, providing personalized experiences, and offering 24/7 availability, AI is enhancing customer satisfaction and driving operational efficiency. Platforms like Wonderchat can make this transformation seamless—allowing businesses to build AI chatbots and voice agents trained on their own data that can handle support tickets, respond instantly to inquiries, and even improve over time through corrections.

As AI technology continues to advance, the possibilities for improving customer service are endless. Businesses that adopt AI tools and strategies today will be better equipped to meet the demands of tomorrow's customers.

In conclusion, AI is not just a trend but a crucial component of modern customer service strategies. With tools like Wonderchat, companies and businesses can easily implement powerful AI-driven support solutions to enhance their customer experience and achieve long-term success.

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Build your own AI chatbot in 5 minutes

Build AI assistants that takes over up to 70% of your repetitive sales & customer support queries.