NATURAL LANGUAGE UNDERSTANDING
A technology that lets machines understand human voice or written text, available on phones and the web. Ask us how IM Virtual Agents powered by NLU can improve customer experience.
ATAC – Rome bus waiting time (Italian)
call the number +39.06.54564010
WHO IS THE END USER?
Italian citizens looking for information about bus waiting times.
WHAT IS GOAL?
To give users access to ATAC bus transit data using voice channel. Anyone who is waiting for a bus at a bus stop, can obtain information about waiting times by a phone call and giving the system the following information:
bus stop id (it is a number, usually consisting of 5 numbers, located on the bottom-left corner of the bus stop flag)
bus line number
HOW WAS IT SOLVED?
Using our IMSL Multimodal framework, we collect the input from voice channel. By processing the voice input collected, we extract the best data recognized. Due to the modularity of our framework, we can integrate any module with external API or Web Services. We then access ATAC Web Services passing them the extracted data and retrieving the bus arrival information for the user. Finally, the result is sent to the user, using voice channel.
The aim of this call is to give a vision of how our solution can extract keywords and concepts from a live call and push information to a call-center agent or directly to the caller
Give to users access to INPS data using different channels, integrating many input channels (web, voice, web services)