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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.
With a lack of proper input data, there is the ongoing risk of
"hallucinations," delivering inaccurate or irrelevant answers that require the customer to
escalate the conversation to another channel. Many rely on rule-based systems
that automate tasks and provide predefined responses to customer inquiries.
Any advantage of a chatbot can be a disadvantage if the wrong
platform, programming, or data are used. A chatbot
can provide these answers in situ, helping to progress the customer toward purchase.