This is a working prototype of a platform that could help identify the ideal customer profile, spot potential customers at risk of churn and more...
Currently, the only operational features are the sentiment analysis you can find it at the cell sentiment inside companies page; timeline with real-time chart showing messages received per day and daily support tickets summarization with action, inside company QuantumLeap details; API logs on the logs page.
Tip: The flashing beacons are the parts of the software that are working, you can hover over them to understand their functionality.
In this demo, you will impersonate two different users simultaneously:
Wordware Customer: You work at QuantumLeap AI and use Wordware as part of your stack. You have decided to go to their customer support chat – by clicking at the Crisp chat bubble – to express your feelings, challenges, and/or ask for support.
Wordware Teammate: You work at Wordware and today you are focused on determining if some customers are at risk of churning. You begin by analyzing the sentiment and summary of the previous ticket from the company QuantumLeap.