9 ways businesses use AI in customer service in 2024

The chatbot is accessible as a 24/7 concierge, helps customers complete bookings and acts as a local guide to enhance guest experience. For example, they can direct customers to live agents in the relevant department or ask for more information to provide a solution—giving you the perfect balance between machine efficiency and human expertise. Among the leaders surveyed, 41% feel NLP will be crucial in improving customer interactions through virtual assistants and intelligent chatbots. Chatbots learn to see the sentiment and customer intent by spotting certain keywords and triggers. By seeing what your customers ask about, you’ll be able to plan and implement automated conversations. Automation means that while AI takes care of all basic customer queries and repetitive tasks, humans can focus on more complex challenges that require human intelligence, emotional involvement, and attention.

Blake Morgan is a customer experience futurist and the bestselling author of The Customer of the Future. For regular updates on customer experience, sign up for her weekly newsletter here. AI has shown up everywhere in recent months, even taking fast food orders in drive-thrus. And with it come many ethical gray areas and calls to slow down the speed of its development. One of the biggest opportunities and fastest adoption rates is in customer service.

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Machine learning can help sellers walk the thin line between sufficient and surplus inventory. AI-based analytics of product inventory, logistics, and historical sales trends can instantly offer dynamic forecasting. AI can even use logic based on these forecasts to automatically scale inventory to ensure there’s more reliable availability with minimal excess stock. Reduce costs and customer churn, while improving the customer and employee experience — and achieve a 337% ROI over three years.

AI can be used in customer service to help streamline workflows for agents while improving experiences for the customers themselves through automation. Some of the more common uses of AI in this space are support ticket sorters and chatbots (like my favorite regional fast food chain’s personalized order-taker), but that’s really just the tip of the breakfast burrito. Empower your customer service agents to easily build and maintain AI-powered experiences without a degree in computer science. No one wants to have to contact support, but when they do, a poor customer service experience can make a bad situation even worse. That’s why exceptional customer care is no longer just a priority, it’s a must.

Companies Using AI for Customer Service

Essentially—what should your model do once it’s reached a decision on each piece of data? The process of training your data involves uploading data—whether that’s text or images—to one of your predetermined labels. This data is called ‘training data’, and it essentially gives the AI examples to learn from. You can use internal data—your own data, or external data—data taken from other sources. If you have a large number of customer messages and you’re processing them all manually, you might not be able to get to them all. This isn’t the case if the process is automated—you’ll be able to get to all of them.

That was the approach a fast-growing bank in Asia took when it found itself facing increasing complaints, slow resolution times, rising cost-to-serve, and low uptake of self-service channels. Yet financial institutions have often struggled to secure the deep consumer engagement typical in other mobile app–intermediated services. The average visit to a bank app lasts only half as long as a visit to an online shopping app, and only one-quarter as long as a visit to a gaming app.

We believe in customer service for all, and so the idea for Lyro was born. Essentially, they are designed to quickly recognize common speech patterns and triggers to provide relevant resources based on the knowledge sets they are fed. You can design conversation flows for your bots, use ready-made templates, artificial intelligence customer support or choose LLM-powered bots that learn from each user interaction they have. All the benefits come down to the most important one—chatbots for customer service have the power to boost customer satisfaction like never before. Artificial intelligence for customer service is getting more and more advanced.

This lets the agent know how to approach the interaction, preparing them to avoid an escalation or de-escalate an elevated situation. Eventually, at stage 5, AI-enabled support will be available for virtually every user journey. Miami-based health and fitness company, Sensory Fitness, provides a holistic gym experience that includes intense workouts and restorative stretching and recovery programs. To meet the needs of a fast-growing clientele, they collaborated with AI company, FrontDesk AI, to develop a personalized AI virtual assistant, Sasha, to enhance their customer service capabilities. From trending topics to competitor insights, social media listening offers you actionable insights to improve your customer service across channels.

Everything You Need to Know About AI in Customer Service

Moreover, it efficiently routes calls to the right departments based on the customer’s needs and even offers real-time guidance to human agents during customer interactions. These advanced technologies can detect a customer’s native language and automatically translate the conversation in real time. 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. Transferring customers to different departments and reps doesn’t make for a great customer experience.

Because of its multiple benefits, AI customer service has become the focal point of many companies looking for innovation and growth. And no wonder—when done right, AI can dramatically improve customer support efforts, retention, and user satisfaction. In fact, according to statistics, customer satisfaction is expected to grow by 25% in 2023 in organizations that use AI. AI customer service has the power to improve user experience, scale businesses, optimize the workload of support teams, and cut business costs.

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Sprout’s Enhance by AI feature, powered by our OpenAI integration, further boosts this capability. Customer service teams may quickly adjust their response length and tone to best match the situation. These algorithms identify topics and themes, and suggest responses that are best applicable. Plus, your teams have total control over these messages to customize them for a more personalized feel and to add relevant details.

Audio, video, photos, and all types of text—such as responses to open-ended questions and online reviews—are examples of unstructured data. Data analytics software can easily examine structured data since it is quantitative and well-organized. It’s data that has been organized uniformly—which enables the model to understand it.

Ultimate guide to customer service for businesses

AI customer service is the use of tools powered by artificial intelligence to automate support and provide more efficient assistance to buyers. Integrating artificial intelligence (AI) into customer service using technologies like Machine Learning and Computer Vision can significantly enhance efficiency and customer satisfaction. 📈Track and improve support qualityAI-powered quality management simplifies performance tracking, offering comprehensive insights into team and agent efficiency.

This makes it a natural for customer service operations; indeed, we estimate that the technology, once implemented at scale, could increase productivity by 30% to 50%—or more. And according to a 2022 BCG survey of global customer service leaders, 95% expect their customers to be served by an AI bot at some point in their customer service interactions within the next three years. The general public has quickly begun testing generative AI’s capabilities, and the technology is rapidly gaining acceptance, lauded for the variety and nature of the responses it provides.

AI learns from itself, so it can use analytics to adapt its processes over time. As resolution processes change, AI ticketing can change how it sorts and tags conversations, assigning tickets and keeping agents on top of issues. Convert written text into natural-sounding audio in a variety of languages.

If you’re like most business owners, you’re always on the lookout for new and innovative ways to better your business. HomeServe USA, a prominent provider of home service plans, uses an AI-powered virtual assistant, Charlie, for their customer service. They have employed computer vision and machine learning to analyze a customer’s body measurements, skin tone, and clothing preferences. A noticeable improvement in operational efficiency, data visibility, and customer satisfaction. For instance, AI can assist customers based on their past behaviors or inquiries. Interestingly, 59% of customers expect businesses to use their collected data for personalization.

• Yet financial institutions have often struggled to secure the deep consumer engagement typical in other mobile app–intermediated services.
• This can leave your business in a holding pattern, as the process can take several months to complete.
• Previously, analyzing customer interactions was a lengthy process that often involved multiple teams and resources.