We are well aware that there are more interesting and enjoyable activities than reading piles of elaborate company documents and reacquainting yourself with them every time they are updated.
We are also well aware that building a chatbot knowledge tailored to your business can be time-consuming.
What if you didn’t have to do that? If all you had to do was give the chatbot a set of documents and it would “pull” the knowledge from them on its own?

The BigData Chatbot solution will be particularly useful for multi-departmental enterprises which have a large number of structured documents in their collections, such as rules and regulations, procedures, contracts, specifications of essential conditions of an order, technical documentation of IT projects, etc. Thanks to the chatbot, hundreds of employees from e.g. Customer Service Departments will be able to minimise the time spent on simple and repetitive activities, such as searching for the right documents and browsing them in order to find the information the customer wants.

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 service@center.com 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.