Depending on what’s used for, VVAssistant can be a web app, a mobile app or a progressive web app and can be integrated in any kind of multimedia content.
Depending on what’s used for, VVAssistant can be a web app, a mobile app or a progressive web app and can be integrated in any kind of multimedia content.
VVAssistant uses modern natural language processing and understanding (NLP and NLU) and can interact actively with the user (speech recognition and speech synthesis) helping him reach his goal.
AI and small data analysis allow VVAssistant to improve the quality of interaction with users; the voice assistant records and historicizes past conversations and allows interaction not only through sounds but also with the addition of multimedia contents.
When necessary, VVAssistant connects user and call center informing beforehand the operator on the issue to solve, saving time and increasing clients’ satisfaction.
Analysing small data constantly improves the user experience and the quality of interaction with the voice assistant.
Depending on what’s used for, VVAssistant can be a web app, a mobile app or a progressive web app and can be integrated in any kind of multimedia content.
VVAssistant uses modern natural language processing and understanding (NLP and NLU) and can interact actively with the user (speech recognition and speech synthesis) helping him reach his goal.
AI and small data analysis allow VVAssistant to improve the quality of interaction with users; the voice assistant records and historicizes past conversations and allows interaction not only through sounds but also with the addition of multimedia contents.
When necessary, VVAssistant connects user and call center informing beforehand the operator on the issue to solve, saving time and increasing clients’ satisfaction.