How it works
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.)
Granular, automated ticket tags
Let agents focus on service, and not on filling fields. Our AI-powered tagging engine is the #1 way to auto-apply granular ticket tags to support tickets as the come in.
Turn negative reviews and comments into tickets, automatically
Our sentiment analytics engine continuously analyses your review sites and social channels, and identifies negative feedback in real-time. You can respond quickly and prevent damaging brand events.
Intelligently route and prioritize tickets
Our routing and prioritization Zendesk workflow automation ensures important or high impact tickets are queued first. You'll reduce time to first response on tickets that deserve it, and ensure every customer is satisfied.
Why replace your existing tagging system?
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.
• Tags are broad and require manual digging.
•Tags become outdated so insight is missed
•Tags are based on 'keywords' = inaccurate
•Tags are applied inconsistently by agents
•Reporting is still time-consuming
• Tags are granular and get to the heart of the issue.
• Tag taxonomies are continuously up-to-date
• Tagging is machine-learning based = accurate
• Tags are applied consistently to 100% of your tickets
• Reporting is made simple with automation
• Tags can be trusted to guide triggers, automations and company-wide improvements