InícioNewsAI Hyper-Personalization is the New Bet to Enhance Customer Service

AI Hyper-Personalization is the New Bet to Enhance Customer Service

Dígitro Tecnologia, a leader in unified communication solutions, is innovating by applying hyper-personalization to its products, providing customers with an even more efficient service journey tailored to specific needs. With robust solutions for contact centers, tools for developing voice and chat bots, and a unified corporate communication platform that securely integrates calls, videos, and messages, the company not only improves communication but also creates a unique experience, delivering more precise and assertive results for organizations.

By strategically using AI, the solutions can analyze consumer data, recommend content, resolve issues more effectively, and even anticipate future needs in a highly personalized manner. A step further in creating customized service journeys centered on each customer’s behavior and needs. Additionally, the technology enables the creation of intelligent decision trees, ensuring high-quality service, whether by voice or chat, on any preferred communication channel.

One of Dígitro Tecnologia’s latest innovations is the automation of service evaluations, which can reduce costs and optimize companies’ time. Through AI, the company can transcribe calls, analyze agent courtesy, and instantly measure customer satisfaction. “This automation not only increases productivity but also provides a clear view of agent performance,” says Márcio Souza, the company’s technology director.

By investing in AI-integrated technologies, Dígitro reinforces its position at the forefront of digital transformation in corporate communications, creating solutions that not only meet customer expectations but also anticipate their needs. This ensures a more effective and productive experience for everyone involved. “Our role is simple: deliver products and services that truly add value to our customers’ businesses. When properly applied, AI generates scalability, productivity, and, most importantly, better results,” concludes Márcio Souza.

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