Generative AI: The New Standard in 24/7 Customer Service

In .Data & applied AI, Blogfest-en by Baufest

Chatbots, predictive analytics, and large-scale personalization are redefining the relationship between companies and users.

Thursday 16 - October - 2025
Baufest
Persona chateando con una inteligencia artificial mediante un chatbot.

Artificial intelligence has been around for quite some time, but over the past three years—with the debut of ChatGPT and similar tools—it has completely changed personal computing in general and customer service in particular. This is thanks to the flexibility of generative AI to create high-quality, natural-language interactions. It should not be viewed as just another technological feature: today, it is a strategic technology for the relationship every company seeks to build with its users.

That interaction can become synonymous with an improved customer experience. With AI, it is now possible to create chatbots that autonomously handle requests faster and more efficiently than traditional customer service, or answer questions that don’t follow predefined scripts. It also powers systems that analyze purchasing patterns to suggest products and improve customer loyalty, among many other applications.

A More Human Experience, Driven by AI

For companies, applying generative AI to customer service makes it possible to establish personalized relationships with users—conversations that foster closeness with customers and allow products to better adapt to their needs, without time constraints or staffing limitations.

In practice, implementing generative AI in customer service enables 24/7 support capable of resolving all types of inquiries instantly—even those that aren’t expressed as standard requests. This leads to greater customer satisfaction and a better understanding of what users expect from the company’s products and services.

It also allows for large-scale personalization, which may sound contradictory but in fact means using big data analytics to generate customized recommendations and solutions that are both tailored and based on predictive statistical analysis.

Generative AI can also optimize internal processes, freeing human staff from bureaucratic tasks so they can focus on creative, higher-value work, or on handling complex customer interactions that chatbots can’t yet solve independently.

Furthermore, by applying AI to customer service, organizations can perform predictive analyses that anticipate needs or potential problems, allowing them to take preventive actions that ensure an optimal customer experience.

Thus, AI can no longer be considered an optional component or a passing trend: it is a strategic element for any company, as it redefines and enhances what can be achieved in customer service. The result is greater operational efficiency, stronger relationships with users, and increased customer loyalty.

By Marco López, Digital Business Specialist at The C-Class.