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SOFTWARE
SentiSum's AI engine categorises Zendesk conversations with unparalleled accuracy and granularity.
Simplify reporting with access to real-time trends & insights across every customer contact channel—even voice.
Find us in the Zendesk marketplace.
"No more tagging, just root cause insights on-demand. Every team has started using support insights!"
Director of Customer Service, +$50m revenue fast-growth company
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SentiSum is built using machine-learning based NLP. It's designed to understand and tag customer contacts in a way that's:
1/ Accurate: It tags based on meaning, not keywords.
2/ Granular: Tags get to the root cause of the topic.
3/ Real-time: Everything happens in milliseconds.
You can trust SentiSum tags to underpin strategic change across your business.
P.s. We cover 100s of languages and channels (even voice.)
Our insights dashboard makes tag insights accessible, but we can also push tags directly to Zendesk so they can be used for analysis, routing and prioritisation.
Watch the short video to see it in action.
Our analytics solution ties support tickets to CSAT surveys. You'll have a 360º view of every feedback and support channel, supercharge with additional context.
Like Google for customer support, you'll be able to answer questions from other teams by simply searching for an answer.
It's truly multichannel. We've even cracked voice—so you can search historical phone calls for insight.
Say goodbye to manually analytics and reporting. And welcome in a new age of insight that's uniform, easy, searchable and impactful.
Most tagging systems take a lot of manual work or the insights can't be trusted to back up business decisions. Usually tags are inaccurate, inconsistent or generic, so customer support is like a black box.
SentiSum is a single source of truth. In one simple-to-use dashboard, you'll understand the topic and sentiment of every customer conversation, survey and review.
“We can now proactively identify negative feedback, respond to it, and fix issues.”
Jack Ames
Contact Centre Manager
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