WHITEPAPER
Call center analytics platforms promise insights, but are virtually unusable. Loris gives you easy insights so you can spend less time find issues and more time fixing them.
Worried about making the wrong AI decision? Research from MIT shows 95% of enterprise AI pilots fail. Understand why and the patterns behind AI success.
Loris has a library of proprietary AI models designed specifically to understand customer conversations and proven on 500 million customer service interactions.
Contact Drivers are organization-specific intent classifiers designed to automatically detect the primary reason for contact
Root Cause provides the core issue behind the customer inquiry
Review Reasons highlight critical issues like Escalations, Profanity, Regulatory Threats and more
CQ is a predictive CSAT score that uses the conversation instead of surveys to understand customer satisfaction
Sentiment Graph provides the conversation’s emotional journey to understand points of friction and how the customer left the interaction
Resolution tells you not only if the customer’s issue was resolved, but also the justification as to why or why not
We have actually shaved a little over three minutes of AHT now that we don’t have the agent tag tickets anymore. That has reduced our cost per case by 23%.
Jon Helin
VP of Customer Support, Calendly
Loris AI delivers customer insights from millions of conversations. Schedule a meeting to see how.
Named a Cool Vendor in CX Technology by Gartner and Customer Analytics Leader by CMP Research.
Loris uses a combination of pretrained AI models, custom AI models, and LLMs for faster, more accurate results.
Loris has delivered billions of predictions in more than 500 customer service interactions (and counting).
Our team of data scientists continuously tune our AI models, meaning you get better results with less work.
Still have questions? Let’s chat!
Schedule a meeting to learn if we’re the right fit for your call center analytics use case.
