Zenvia Introduces Generative AI Chatbot to Improve Customer Service

In 1955 when Eliza was launched, it used pattern matching and substitution methodology to simulate conversation, which limited their ability to engage in natural conversations. There was a need for more flexible and intelligent chatbot systems. As AI technology advanced, there was increasing demand for chatbots that could engage in more natural, context-aware conversations. Businesses saw the potential for AI-powered chatbots to automate customer service and other tasks more effectively than rule-based systems. Traditional chatbots were difficult to customize and extend, making it challenging for businesses to scale their automated customer interactions. Progress in machine learning, particularly deep learning and natural language processing, made it possible to create more sophisticated c