I work at a massive internet service provider that receives thousands of customer calls every day.
How can I take a bird's-eye view of all these conversations today, so that we can better plan for our customers' issues tomorrow?
I used an external application to convert our audio logs into text-based transcripts. Now, I'll upload this unlabeled data to Pienso Ingest.
We already have an ontology for the most common customer support topics, but I'd like to reevaluate and expand it. So I'll create a Pienso Fingerprint model, which can detect themes that we haven't put a name to yet.
Next, I'll use Pienso Deploy to create a deployment that pits my Fingerprint model against a live stream of incoming call transcripts. Now, each new document that hits my deployment will receive a series of "soft" labels in the form of a fingerprint score.
Finally, my operations team will use the Pienso Dashboard associated with my deployment to watch as these new documents get scored in real-time, monitoring for emerging trends and hunting for insights.
Are customers experiencing an issue in a particular region? at a particular time of day? or around a specific event? Our analysts can now answer these questions as they arise, and then pass on their findings to our customer satisfaction and product development teams to inform future strategy.