The insights that Revenue.io’s platform provides are huge value drivers for their customers, but that all comes back to highly accurate transcripts ASR for their machine learning platform. Scott notes, “Your topic modeling, your sentiment analysis, your detection of product features and competitors, and value drivers all come from the transcript. The quality of your transcript therefore has implications all the way down your value chain.”
The end goal of Revenue.io’s customers is to accurately understand, from all the sales data and sales conversations, what drives success and what drives failure. Revenue.io found that creating tailored speech models provides better data to answer these questions for the customer. Their trained models provided their customers with an 18% relative reduction in WER and a general accuracy close to 88%.