The call center supervisors have to listen to a sample of random calls in order to monitor call center agents’ calls. They do not have capacity to re-listen to all of the calls and they need to find problematic calls, which is is extremely time-consuming.
The solution provides the supervisors with a possibility to find quickly the most relevant records depending on criteria they are looking for. E.g. we enable user to filter the top hundred emotional calls out of thousands.
Since our algorithms are available as cloud-based API, we're mostly targeting call centers, where they can be used by software engineers. These are mainly call centers of telecom companies, banks, insurance companies, and call center sofware companies.