Cloud communications platform provider Fuze has announced an integration with artificial intelligence platform Gong that will enable customers to apply machine learning technology to Fuze calls.
The integration is intended to allow Fuze users to use Gong’s revenue intelligence to make informed decisions when it comes to sales calls and improve overall workforce communications, Fuze announced Tuesday.
Currently, Fuze combines cloud calling, meeting, chatting and content sharing into a single platform. Adding the Gong integration will make it easier for users to access data and insights, allowing customers to record and annotate calls and analyze topics within the conversation to provide feedback and suggestions for future calls, Fuze said.
The Gong platform uses machine learning to aid sales representatives in providing a better customer experience, allowing for the secure recording of calls, web conferences and emails. It uses artificial intelligence to uncover how the strongest sales representatives communicate with customers.
That data can be used as a coaching mechanism to onboard new employees with examples of calls from leading sales representatives.
In a statement, Gong Chief Marketing Officer Udi Ledergor said AI-based insights from real-time customer interactions will help businesses succeed in more competitive markets.
“Together with Fuze, we are able to expand our technology to improve the collaboration practices of workers, identifying the ways they can streamline efficiencies through improved communication throughout the customer journey,” he said.
The announcement of the Gong integration comes shortly after the company introduced an integration with cloud-based business messaging platform Slack that aims to simplify enterprise communications and enhance user collaboration by allowing users to toggle between the two platforms when moving from a Slack conversation to a Fuze call or meeting.
Gong, which launched in 2016, has been growing quickly, landing $40 million in a Series B round in February and a $20 million A1 round in 2017 after an initial $6 million when the company launched.