How does a Conversational Bot differ from Chatbot?

Posted by Navdeep Agarwal · August 16, 2018 · 4 Min read

Table of contents

Have you come across programmed chat system recently somewhere on website, social networking etc., and got amazed due to its good humor? Did you know you have interacted with AI chatbot? AI chatbot that can think like human, analyze like human and respond like a human? Let’s find more about conversational bot and chatbot – the top tech topic of today’s era.

Today, we can anticipate a future in which to complete things, there is no need to juggle between different applications. It is possible now to get what you need, when you need by talking to a friendly Artificial Intelligence based bot. With bot, no more wasting time shifting through tons of data and information, no more asking around to find right professionals or tools, not any more tedious learning and working. Bots are simplifying everyday lives.

How about we comprehend what Chatbot is? Chatbot is basically a messaging application, once in a while alluded to as a conversational interface, intended to streamline complex predefined task(s). You are most likely to encounter them some place while browsing through websites, social networking and even on your smartphone while using different apps.


Chatbot first showed up in 2011. It came as a responsive innovation powered by business intelligence, artificial intelligence, and messaging platform. Organizations which are always in look out for new ways and better approaches to bolster business associate easily with buyers and provide customer support that adjusted and could develop with changing communication propensities, here come chat bot that assist them significantly.

Conversational Bot:

Early Bot Application Development Service focused on systems that are otherwise called conversational bot. That is because such bots were simply based on a set of rules that characterized how to react to specific word combinations. The early bots were not ready to comprehend the expectation and context of the client’s discussion with it. It likewise has impediment to not to perceive different language. For instance: If you are reserving a flight, you may state ” book a flight to London ” and another person may state that ” I require a flight to London ” while somebody from other globe areas may use his local language for a similar scenario.

Rule-based bots were fundamentally created as a push-button answer to general tasks like setting an occasion on a calender, showing data, managing social media and substantially more.

The drawback with this is that even a simple transaction is hard to cover with a predefined set of rules because for every question you anticipate customers making, you will find many more. Custom Bots Development Services providers and businesses perceived such pitfall of conversational bot. They discovered such responsive technology could not handle all of the various questions that people would ask, even a light topic like booking a flight. Rule-based Bot with its pre-characterized set of options could not generate enough principles to cover all question and to give better client encounter.

Here comes Artificial Intelligence that addresses the issue of standards by making a framework that learns as it works. AI-based bot recognizes the language, context, and intent as well. It then responds in view of joining such information. AI controlled bot doesn’t have to know all the conceivable inquiries ahead of time.


AI Bot or chatbot can be viewed as a more sophisticated cousin of the conversational bot. An essential distinction in the way the two programs vary is Natural Language Processing (NLP) capacities. NLP help chatbot comprehends the aim of the question inquired. NLP is the brain or the intelligence factor in AI bots. It can interpret the context of what is being said by the user. AI bot have the ability to gain from data assembled, in view of which they can then make decisions.

With advances in Artificial Intelligence, Natural Language Processing capacities and machine learning code, developers are endeavoring to make chatbot more human-like with identities, fit for perceiving discourse examples and deciphering non-verbal signals to make associations much smoother. The excitement is not in what they can do today but in their future trajectory. As referred to in the Chatbot Magazine, “Messaging apps are the platforms of the future and bots will be how their users access all sorts of services”.

Have an experience or perspective to share? We’ll love to hear !!

Share this Article