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.
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
Interactive Media founded the IM Service Lab in March 2010. The IM Service Lab develops voice, multimodal and biometrics solutions for Information Technology and telephony applications – customer service, help desk,