Everything You Should Know About Chatbots


Messaging platforms are coming of this age, and Chatbots are all the newest trend today. They are touted as another version of apps, such as a massive change in the communication market. Since Facebook has expanded access to its Messenger service, giving companies the ability to reach customers better through distinct APIs, “Chatbots” has become the buzzword nowadays. How do they work? How are they build? Are Chatbots a big chance for businesses? All this is discussed here.


Chatbots are artificial intelligence methods that we interact with via voice or text interface. Those interactions may be straightforward, like asking a bot about the weather report, or more complicated, like having you troubleshoot an issue with your internet services. You may also request the most recent news instead of searching for them. Chatbots are personal assistants that assist you. It could live in any major chat applications like Facebook Messenger, Slack, Telegram, Text Messages, etc. The notion is that these chatbots will eventually be a way to easily find anything that we’re searching for, without even needing to do a Web search or open up multiple apps. By way of instance, instead of calling a taxi from the Uber app, you have to call it directly from Facebook messenger bot.

A couple of chatbot examples are –

  • Healthcare Bots
  • Food Bots
  • News Bots
  • Sales and Marketing Bots
  • Banking and Trading Bots
  • HR and Operations Bots
  • Customer Service Bots

Together with Bots possibilities are infinite, you can create robots for any kind of system that will reduce human pain and work.


Are chatbots really that intelligent? How can they reply to questions we request? No, they’re not intelligent itself, humans make them do so. Chatterbots recognize keywords from the user’s input and get the database for giving a predefined response. For instance, the user is sending a text which comprises the word “car“. The chatbot will most likely ask something like: “Which is the model of your car?” Or “Can I know more about your car?

From these simple responses, an illusion of understanding the input is created, even though only a keyword has been found and the response in the predefined pattern was delivered to the user. The chatbot refers to the predefined set of libraries and APIs appended to it to check for the set of patterns that it can respond with. Every chatbot is a construct based on pattern-matching, however, the intellect of chatbot is dependent upon how human-like and intelligent these predefined routines are and on how great the text from the user is known.

Some Chatbots works in an advanced manner using Machine Learning. This bot understands language and not just orders. This bot always gets brighter as it learns from discussions it does with people.


Messaging apps are now larger than social networks. Together with the rise of messaging programs and chatbots, how we are using social media to socialize and discus is changing.

Studies demonstrate that smartphone users have to assess their time into a few of their favorite apps, often a browser, a couple of chat, social apps, and might be few games. With shrinking opportunities to earn money from mobile apps, developers are looking forward to chatbots as a new route. Chatbots are free to use, and we could chat with them by just sending them a message as if they were an individual user.

Improvements from Artificial Intelligence (AI) and Natural Language Programming (NLP) have made it feasible to use conversational language as a command-line making bots understand what we desire and automate the implementation of the command creating bots do what we request. As it’s extended to the messaging platform, it is potential to text our request and get the answer by an automated and scalable backend.

So yes, Chatbots a large opportunity in messaging apps is different in finding the pain of people and solving their problems in locations where needed services don’t exist. However, the question here is we need a humongous data about customer behaviors and preferences. At the early stages, there is a high amount of human involvement needed to educate the AI bot about what the user is asking for and the way to best solve their needs.

People are using Messaging apps over social networks. So logically, if we wish to build a business on the web than we want to build something that people want.


As discussed above, there can be two kinds of robots: one that follows principles and others that is smarter does machine learning. So for creating chatbots either choose a rule-based approach, the programmer will be programming principles for the system. Another strategy can be machine learning, which requires a massive quantity of steaming data and the system might have to learn by itself. So developers will need to correctly define machine learning parameters.

Chatbots can be built on different platforms. You will find tons of funds, to begin with. Some of the available platforms are Facebook Messenger, Slack, Telegram, etc. Chatbots can also be customized for your applications according to the requirement.

The main point here is we’ll be looking closely at AI and Messaging space in the next few years. The emergence of a new communication system sparks opportunities and innovation. Overall, the chatbots system has a different way to go before it turns into a replacement of sites. However, the stage is still in the budding stage, and eventually, chatbots will get better in understanding natural human languages. And with time we are assisted in all possible ways, we desire by an automatic system or as we state a “Chatbot”.

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