Customer experience (or user experience) has become an increasingly important aspect for companies, especially in call centers, where operators must provide quick and effective service to customers. However, with the advent of theArtificial Intelligence (AI), contact centers can now offer a personalized experience to customers, improving customer satisfaction and loyalty.

How AI is revolutionizing the world of customer care

Artificial Intelligence is disrupting the customer care industry, enabling companies to deliver a personalized customer experience. With AI, contact centers can analyze customer data, their preferences and past problems to create a Taylor-made experience. This may include the use of chatbotsthat leverage artificial intelligence to answer questions quickly and effectively, or sending personalized messages to customers based on their preferences.

Personalization in the AI era can improve customer satisfaction, increasing the likelihood that they will return to interact with the company in the future. In addition, this approach can help reduce operational costs, as customer service representatives can focus on more complex problems, leaving more recurrent and simple ones to automated means (IVR, Chatbot) .

How to create a unique user experience in contact centers

To create a unique user experience, companies must use AI to collect and analyze data from their customers. This may include studying users' interactions with the company on social media, collecting feedback and analyzing their demographic data. This data can then be used to create a detailed profile of customers, which can be used to personalize their customer journey and experience.

But how to get this information and how best to use it? For example, the chatbots can use AI to learn from past conversations with customers and provide personalized answers to their questions. In addition, companies can use artificial intelligence to automate sending personalized messages to customers based on their preferences and past behavior, such as sending special offers or alerts for new products in line with their needs.

The role of data in personalizing the user experience

I data play a key role in personalizing the user experience in the world of customer care. Companies need to collect and analyze them to understand the preferences of their customer base and their past problems. In doing so, however, they must also be able to respect the privacy of their customers and provide them with the means by which they can choose whether or not to share the data they obtain.
This, too, is a way to build user loyalty, to be crystal clear in intent. The moment the data can be used, it will then be up to the company to use it to create detailed profiles and build the most satisfying user experience possible.



XCALLY and the creation of an effective user experience

In conclusion, personalization in the AI era in contact centers can improve customer experience and increase customer loyalty. Using suitable, GDPR-compliant tools that are constantly updated is the easiest way to get quick and secure results.
With XCALLY, the omnichannel platform designed for contact centers., it is possible to create a unique user experience by combining omnichannel technology with dedicated customer service:

  • Leverage XCALLY's artificial intelligence to create chatbots that can quickly answer common customer questions, reducing wait times. Customize chatbots with your company's brand identity.
  • Integrate messaging channels such as WhatsApp to allow customers to communicate via the apps they already use on a daily basis. Enable quick responses with preset options to speed up service.
  • Optimizes inbound call routing based on skills, availability, and languages spoken by agents. In this way, calls are routed as quickly as possible to the most appropriate operator.
  • Offer the ability to book a video call with an agent through the website for even more personalized service. It integrates the XCALLY calendar with the corporate calendar.
  • Monitors conversations in real time to identify keywords, sentiment and emoticons. These insights can be used to improve support and user experience.
  • Enable feedback surveys at the end of conversations to measure customer satisfaction and identify areas for improvement.
  • Provide training and resources to agents to better manage omnichannel conversations with users. Make sure they respond quickly, professionally, and individually.