Customer service today: an overview Today, customer service must be personalized and. Proactive, in a certain sense it must anticipate users’ needs. But this is not the only challenge that organizations face: the integration . Of these technologies with legacy systems, the search for the main ways in which artificial. Intelligence (AI) can improve customer service and the search for vertical professionals in this area are just. Some of the many difficulties that service departments will have to respond to (McKinsey. The next frontier of customer engagement: AI-enabled customer service, 2023).His Lunch Break. He Sees a Pair in the Window, Takes a Photo and Sends It to the. E-commerce Chat, to Say “i Would Like One a Couple Similar to These, but Maybe Cheaper.” After a. Few Suggestions, at the End of the Day He Finishes the Purchase. From His Smartphone While on the Sofa Watching a Film. This is Where the. Advantage Lies for the User, and Here is the New Data That Can Be Acquired, Useful for Up-selling and Cross-selling That Are Truly Personalized. The Importance of Human Data Despite the Great Tools That Artificial Intelligence Can Put at the Service of Marketers, the Work of People Remains Fundamental.
The companies that were the first to invest in advanced
Customer service are today carrying out this mission through apps and new interfaces such as easy payment systems. The other companies, laggards on this front, are trying to catch up. McKinsey classifies this process on a continuum of five levels of maturity in implementing artificial intelligence for customer engagement. Companies at the first level have customer service almost entirely managed by employees, while those located at the fifth level perform 95% of customer support functions thanks to AI and digital channels. In particular, they use self-service tools, revisited apps, new interfaces, dynamic interactive voice response systems (IVR) and chat. However, we Iran Telegram Number not misunderstand: the intense use of artificial intelligence does not replace employees, but enhances them. AI supports users in all channels of the company, for example in self-service channels, such as chatbots, but also assists customer service teams in real time, for example it supports them in assisting users with requests that arrive on social platforms. Indeed, artificial intelligence can help the company to predict complaints and problems, guaranteeing a sort of “preventive” or in any case “just in time” assistance in respect of the moment of the report by the customer. And potential customers at the center and work to satisfy their needs. Show them how much you care about your work, your product and their opinion and start. Creating and communicating with them in the channels they are on. The only solution to bring customers to the fair is to create direct relationships with them.
The advantages of using artificial intelligence
In customer service In this customer service innovation process, as we have seen, artificial intelligence reigns supreme. Again according to McKinsey, in addition to its renowned potential to increase user engagement, AI generates more cross-selling and upselling opportunities and reduces the cost of customer USA Telegram Number Data operations. But its benefits don’t end there . By standardizing responses to repetitive communications, teams can return to focusing on more complex issues that require personalization and empathy. In this way, chatbots improve business efficiency. Reduction of response and management times Of course, with the help of tools like chatbots, the user who contacts your company will receive a response within a few seconds of contact, which will significantly improve your customer response metrics. Better predictions of customer behavior AI uses data to make predictions. What predictive AI does is understand how your customers are likely to behave based on their purchasing history, purchasing habits, and personal preferences.
