Chatbot is a virtual assistant that can chat. Assistants like Alexa and Siri are chatbots that can recognize voice and language and respond by voice. Also, the chatbot can appear anywhere. Flight/hotel booking, sales, marketing customization, banking or just as a chat buddy. Chatbots can be studied at 5 levels. As an example of the first level, we can consider chatbots that can send SMS to your phone. You cannot reply to these messages. At the second level, we can consider bots that can provide answers to frequently asked questions (FAQs). These bots lack personal answers and cannot handle situations other than simple pre-trained situations. At the third level, we come across chatbots with context information. At the fourth level, bots that can talk to you privately with your known information and previous chat logs. Right now our technology is trying to reach them. At the fifth level, there are chatbots that can help us wherever we want, completely independently.

So how do chatbots work?

Chatbot technology is based on "Natural Language Processing" NLP technology, but the same technology is also used in voice-based virtual assistant software such as Google Now, Apple Siri or Microsoft Cortana. The chatbot uses a complex set of algorithms to process the user's text and select the appropriate text response, interpreting and recognizing what the user is saying and understanding the user's needs. Chatbots give you such accurate and correct answers that you cannot be sure whether the person in front of you is a program or a real person. To get more information on this subject, you can research the Turing test. No matter how advanced the algorithms of chatbots are, they often have trouble making sense of sentences from users who do not conform to grammatical rules such as street dialects and informal language spoken, and that machines that need to communicate one-on-one with customers can cope with the uncertainty that language elements such as metaphors, similarities and synonyms can cause. is expected. In short, chatbots are likely to play a more important role in our digital lives in the next few years. Progress in this direction will increase the brand's transaction speed, save users time and improve the quality of customer service. Despite the differences between grammar and spoken language in many languages, chatbots are preparing to provide natural and authentic communication, so to speak, they become human.

What is the purpose of chatbots?

Most of the uses listed above tell us a little about the potential of chatbots, but we must not forget that chatbots have not yet started mass production. Here are some interesting examples of real-world examples:

Washington post

The Washington Post is getting ready to use the WaPo chatbot to spread the news and is developing a chatbot that can research messages with your readers. Can talk and chat with readers. User "What's new about Donald Trump?" It is said that when you type, the chatbot can find relevant news.


Sephora is one of the first chatbots in the Kik messaging app that sends users makeup tips with videos and pictures. She also runs tests to understand your users and make better predictions, she.

Weather forecast

On Kik, the chatbot of the weather channel can transmit current conditions and forecasts for 3 - 7 days, allowing you to set daily weather alerts if necessary.


Lydia is a European alternative to Venmo, the popular P2P money transfer app that lets users transfer money to each other via slack bots.


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