Unlock the Future of AI in Customer Service: 10 Examples

Advances in AI are revolutionizing customer service by creating a new paradigm of what customers and customer service agents can expect. Here are 10 examples of how AI is being used in customer service.

Unlock the Future of AI in Customer Service: 10 Examples

The future of AI in customer service is here, and it's revolutionizing the way customers and customer service agents interact. From chatbots to machine learning and interactive voice response systems, AI is transforming the way customer service is delivered. Here are 10 examples of how AI is being used to create a better customer experience. Chatbots are one of the most popular applications of AI in customer service. Companies are using them to answer routine questions such as delivery dates, account balances, order statuses, and more.

By automating these FAQs, customer service teams can help more people while reducing operating costs. In modern omnichannel service centers, agent assistance technology uses AI to interpret what the customer is asking for and display relevant information on the agent's screen while they are answering the call. This process can save time for both the agent and the customer, and can reduce average processing time, which also reduces costs. Machine learning is key to processing and analyzing large flows of data and determining what actionable information there is. Machine learning can also help agents use predictive analytics to identify common questions and answers. Technology can even detect things that an agent may have overlooked in communication.

In addition, machine learning can be used to help chatbots and other AI tools adapt to a given situation based on previous results and, ultimately, help customers solve problems through self-service. The COVID-19 pandemic has forced many employees to work remotely, making traditional training methods such as classroom training and self-paced learning difficult to implement. To address this issue, many training teams have begun using AI to create simulations that assess employees' ability to handle various situations. With AI taking on the role of the customer, new agents can test dozens of possible scenarios and practice their responses with their natural counterparts to ensure that they are prepared to solve any problem that a user or customer may have. We offer AI consulting services and solutions that will help you achieve your business objectives faster and prepare you for sustainable growth. As AI advances, self-service functions will become increasingly widespread and will offer customers the opportunity to resolve their concerns on their schedule. To determine where RPA can help in customer service, it's best to ask customer service agents. Apple is also expanding its offering of services and uses AI to recommend songs on Apple Music, help you find your photo in iCloud or go to your next meeting with Maps.

You can also opt for AI software solutions offered by managed service providers through third-party hosting. AI services can help construction companies identify potential problems related to the coordination of resources, labor, equipment, potential problems on site, and even seasonal weather changes that teams can address before problems cause delays and cost overruns. With so many use cases for AI in customer service and many more on the horizon, customer service teams must think more critically, address higher-level issues, and take advantage of all the tools available to create an unforgettable customer experience. A virtual personal assistant (VPA) is an AI service that uses deep learning to hold personalized conversations with users. Analyze AI services specific to your business model or industry needs to see how well they fit your business objectives. For many organizations (banks, for example), AI is not part of their core competencies, and that's where AI services can help. It's a good idea to ask potential AI service providers about their policies and practices on data storage, access and transit to servers.