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The AI chat bot uses technologies like natural language processing (NLP), machine learning,
and generative AI to understand user inputs and provide relevant, human-like responses.
An artificial intelligence chatbot can help customers with FAQs, troubleshoot issues,
and escalate complex matters to human agents if needed.
Customer service chatbots can handle multiple conversations simultaneously, reduce wait times, and improve response
accuracy. AI chatbots significantly enhance customer service by providing instant, automated
responses to customer queries.
They utilize NLP and more complicated ML, along with natural language understanding (NLU), to continue learning about the user
through predictive analytics and intelligence.
Predictive chatbots are more sophisticated and personalized than declarative
chatbots. This type of chatbot is common, but its capabilities are a little basic
compared to predictive chatbots. Declarative chatbots are more basic than predictive chatbots.
The two main types of chatbots are declarative chatbots and predictive chatbots.
The latest evolution of AI chatbots, often referred to as "intelligent virtual assistants" or "virtual agents," can not only understand
free-flowing conversation through use of sophisticated language
models, but even automate relevant tasks. Such chatbots often use deep learning and natural language processing, but simpler chatbots have
existed for decades. By initiating conversations at the
right moment, such as when a visitor appears interested in a particular service or product, chatbots
can turn casual browsing into meaningful interactions.
Furthermore, chatbots can be deployed on landing pages to boost conversion rates by guiding
users through the buying process or answering any questions they
might have. These AI-powered chatbots can be integrated into websites, apps,
or messaging platforms to provide reliable customer support.
Generative models enable the chatbot to generate relevant responses in real-time, rather than relying on pre-set scripts.
