Key features

Big Data chatbot, unlike an ordinary search engine, performs semantic analysis of the query and examines relationships between words to give the user the most accurate and concise answers to their questions. For example, in the case of the question “What are the Service Centre contact details?” the search engine could return both of the following excerpts or only the first one, because it contains more keywords given by the user:

“At the time of the conclusion of the contract, the following Client contact details should be provided to the Service Centre: name, surname, personal identity number, address of residence”.

“Service Center – the center organizing the service is open 24 hours a day, 7 days a week, available at the phone number 22 123 45 67 and e-mail address to which you should report the incident in order to obtain assistance”.

However, only the second excerpt answers the user’s question and only this one would be provided by the chatbot.