Frequently Asked Questions

Different types of bots can handle different use cases, such as FAQs, gathering customer information, route queries to live agents, provide shorter queues, and faster responses, as they can simultaneously handle a virtually limitless amount of chats, and 24/7 service.

There are mainly three types of chatbots identified: rule-based chatbots that scan for keywords in inputs they receive to recognize the question hybrid chatbots that act as a transition between the rule-based and the AI chatbots, and AI-powered chatbots that leverage Machine Learning and Natural Language Processing to deliver more natural conversation.

Not really. All popular chatbots work out-of-the-box. Even users with basic technical know-how can deploy their first chatbot in a matter of minutes. Coding comes useful only when some advanced integration or customization comes into play.

Yes, all three of them are AI virtual conversational chatbot assistants that use voice queries to engage in two-way conversations, answer questions, perform actions, and make recommendations according to a user’s needs. Their purpose is to help iOS, Android, and Amazon Echo users to work and live better.

Every chatbot is build based on pattern-matching, but the aptitude of a chatbot depends on how human-like and rational these predefined patterns are and on how well the text from a user is understood. Some chatbots function in an advanced manner using Machine Learning and AI. 

As chatbots belong to the same generation as smartphones and the Internet of Things and are not just adapted to this generation, they are perfectly suited to facilitate the diverse conversations of tomorrow. According to a recent report, the global chatbot market is expected to exceed $1.34 billion valuations by 2024. 

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