10 Ways an AI Customer Service Chatbot Can Help Your Business

KFC is a great example of a brand that uses AI to offer a personalized shopping experience. It collaborated with the Chinese search engine company, Baidu, to develop facial-recognition technology that can predict what a customer will order. In this post, we’ll simplify things and explain how companies are currently using AI for customer service. We’ll go over a few best practices and provide examples of real companies taking advantage of AI. Not everyone can or wants to hop on a phone call and chat with a customer service representative. Give people choices when it comes to being able to contact you, and you’ll be able to better serve an underrepresented sect of society.

With a customizable user interface and integrations with major CRM platforms, their AI chabot offers customers a personalized, on-brand experience across chat and social media channels. AI also enables the analysis of customer interactions, providing a deeper understanding of customer sentiment and intent. This data seamlessly integrates into the conversation when a human agent takes over. As you approach integrating AI into your customer service processes, remember that conversational AI is not an alternative to having a customer support team, but rather a tool that empowers them to do their best work. However, if your team is working with a limited budget and coding knowledge, a click-to-configure bot may be a better fit. Also, since most chatbots aren’t made specifically for customer service, businesses will need to train the bots themselves, which can be expensive and time-consuming.

Improve self-service resources

The popular language learning app, Duolingo, recently released a new learning experience powered by GPT-4. Or if a customer is typing a very long question on your email form, it can suggest that they call in for more personalized support. That means you can use AI to determine how your customers are likely to behave based on their purchase history, buying habits, and personal preferences. AI technology can be used to reduce friction at nearly any point of the customer journey.

For every tool recommendation, we provide core features, what we love about it, and pricing so you can make an informed choice. Integrating AI into your customer service processes can bring incredible advantages. But there’s one thing everyone who shared their insights about AI in customer service mentioned. Tom Farmer, founder of Solo Innovator, has benefitted from AI’s advantages, like increased efficiency of customer service operations.

Examples of AI in Customer Service (From Companies That Do It Right)

Machine Learning enables computers to perform a task without being explicitly programmed to do so. It instead uses algorithms to perform specific actions by recognizing patterns in previous data to make predictions with new data. Customer service is a vital consideration for 96% of consumers across the globe when it comes to deciding whether or not to stay loyal to a business.

AI tools with smart language processing capabilities and machine learning enable improved accuracy in responding to customer inquiries. Additionally, as these AI systems learn from past interactions, they become more accurate and reliable over time. This improvement in accuracy reduces errors and contributes to seamless support experiences for customers. Additionally, Zendesk’s Answer Bot leverages machine learning to deliver instant and precise answers sourced from your knowledge base, community forums, and other help resources. This accelerates response times, freeing up customer service agents to handle more complex inquiries.

While AI itself isn’t exactly new, the sheer level of availability of this tech to humans is. As such, AI tools can be unpredictable and, in some situations, potentially dangerous. Doing so has helped Appareify “prioritize tickets, send tailored responses, and even more easily assign them to the agent that is most qualified to address the issue with speed and efficiency,” says Nora. “Right now, we have a service called CustomGPT that’s able to answer many/most of the questions people have,” says Giulioni. Creating a solid knowledge hub or Frequently Asked Questions (FAQ) page can take time. But the AI still needs to recognize “keywords or phrases to help route the chat to a live operator.” Because sometimes an “empathetic, human touch is needed.”

HomeServe USA, a prominent provider of home service plans, uses an AI-powered virtual assistant, Charlie, for their customer service. By learning the unique preferences of each viewer, Netflix can recommend content that aligns with the user’s taste. It instantly recognizes the language used by your customers and provides immediate translation. This ensures your customers receive efficient support, regardless of their language. It can also keep customers updated about new products or services that align with their purchase history. Consequently, it automatically assigns the ticket to the right agent capable of handling the situation.

Their NLU-powered platform is trained on past messages and can resolve cases across chat, email, voice, and social. Artificial intelligence is the key to enabling real-time service for customer support platforms. What’s more, this technology has the potential to shift the way customer service solutions are developed. Zendesk’s API helps your agents to personalize conversations by providing customer insights.

The State of AI Report cites routing requests to reps as the most popular customer service use case for AI/automation. For context, 29% of experts surveyed mentioned this as their preferred use case. To help you decide, showing you how this tech fits into the customer service landscape — with case studies to back it up. We also highlight the pros and cons of AI in customer service, plus recommended tools. A noticeable improvement in operational efficiency, data visibility, and customer satisfaction. With the advent of conversational AI technology, your business can now provide seamless multilingual support.

Omni-Channel Service

This strategy can promote immediate improvement in performance and enhance the overall call quality and customer satisfaction. No one wants to have to contact support, but when they do, a poor customer service experience can make a bad situation even worse. Your customers expect you to deliver faster, more personalized, and smarter experiences regardless of whether they call, visit a website, or use your mobile app.

McKinsey’s global survey on The State of AI in 2021 indicates that AI adoption is continuing to increase with 56% of respondents reporting AI adoption in at least one function, up from 50% in 2020. The report states that the most common business function for AI usage is related to service operations. This is underscored by Gartner’s 2021 Technology Roadmap Survey, which indicates that 65% of customer service leaders plan to substantially increase their adoption of AI capabilities by 2023.

Reporting and insights

By understanding what’s available, you can make an informed decision on which AI tool will best align with your customer service objectives. Here are some customer service software platforms offering AI functionality to help you navigate through your choices. Empower your customer service agents to easily build and maintain AI-powered experiences without a degree in computer science. These days there are plenty of AI customer service software companies that can provide solutions out-of-the-box and get you up and running in minutes not months.

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