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[tanjimajuha20]

May 13, 2024
A true pillar in processing requests and managing complaints, customer service is essential to any digital business. In order to relieve the pressure on human teams responsible for collecting customer requests, there is a solution that has become almost essential: chatbots. This is conversational compute belgium phone data r programming that replaces human interactions, as you can see in the Data Science MBA training . The chatbot is then able to answer the most basic questions that customers ask online. How does a chatbot work? What are the types of conversational artificial intelligence used by digital companies? What are the advantages of using this virtual customer service model? We answer all your questions!

How does a chatbot work?
A chatbot is a virtual conversational agent designed by a program based on artificial intelligence. Automatic responses are built from machine learning and the principle of natural language processing (NLP), the objective being to reproduce a natural conversation with a human being. For digital companies, the implementation of a chatbot makes it possible to offer customer service that is quickly accessible online, instantly and at any time. But above all, these digital assistance tools make it possible to relieve the customer service team so that they can handle more complex requests.

In principle, the use of NLP allows chatbots to understand user requests. Indeed, the robot is capable of:

qualify the remarks;


to understand abbreviations;

or to target a specific request.

Once the automatic conversational tool has analyzed the customer's message, it will proceed to categorize the query by highlighting keywords. This step allows the chatbot to draw on its knowledge database and extract the most relevant answers.

It is also possible to design a virtual conversation agent on machine learning. This branch of artificial intelligence allows robots to learn as they are used. Thus, robots provide answers based on the work of machine learning algorithms. They then analyze past conversations by identifying similarities with the customer's request in order to provide an appropriate response. In this second operating principle, the chatbot tends to improve its relevance over the course of conversations.