Companies use AI chatbots and voice agents to answer routine questions at any hour, hand harder ones to a person and personalize recommendations, as Sephora and Bank of America show below. With AI tools, companies can enhance the customer experience by providing efficient, personalized, and round-the-clock support.
Here is how AI is changing customer service, and what it offers businesses and customers.
Understanding AI in Customer Service
By using 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.
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.
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.
Availability at Any Hour
AI 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 reliable data analysis capabilities.
Wonderchat, an AI customer service agent, answers from your own help center and docs, shows the source on every reply and tells you what your docs can't answer. It is aimed at a small B2B team with a help center and docs, not at a contact center.
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. Pair AI with your human agents so complex issues move to a person with the whole conversation. 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 using AI to enhance their customer service offerings. Here are some real-world examples of how AI is being used in the industry:
AI 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 answer 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.
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 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 changing 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: Bank of America's Erica Handles Customer Requests
Bank of America CEO Brian Moynihan shared on FOX Network’s Mornings With Maria how the firm uses 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 the other Wonderchat article on how AI voice agents are changing 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 using 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.”
Beyond answering questions, AI can help a company anticipate what customers will need.
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.
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 changing the way businesses interact with their customers. By answering routine questions and personalizing replies at any hour, AI is raising customer satisfaction. Wonderchat's AI customer service agent answers from your own docs on chat, email and phone calls, hands over to a person with the whole conversation, and once you answer a missed question in the review inbox, it answers it from then on.
Wonderchat has a free plan that refills 50 AI replies every month, with live chat included, so you can try it on your own docs.
