Say goodbye to inaccurate, high-level tagging
SentiSum uses machine learning to tag and categorize all your customer contact channels with unparalleled accuracy and granularity.
Make your customer's voice truly actionable and accessible with our customizable insights dashboard.
"It's easy to setup and the insights are accurate. Every team has started using customer conversation insights!"
Director of Customer Service, +$50m revenue fast-growth company
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SentiSum, in 4 minutes
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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.)
Automate tagging and simplify contact reporting
SentiSum makes your ticket tags accurate and granular, and then turns those tags into easy-to-access insight.
You'll be able to back new projects using quantitative data, and be confident they'll have a big impact on customers.
Route tickets in real-time to the right team or individual
Auto-triage support queries to the right team or individual in real-time. Your overall average handle time and first response time will reduce significantly.
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Prioritise support requests automatically
Have your customer queries automatically prioritised based on urgency, risk and sentiment.
Some tickets have higher importance, we'll help you reduce first response times to them.
Tackle 100% of negative reviews & comments
SentiSum automatically turns every negative customer review and social media comment into a support ticket.
You'll be able to run damage control quickly to maintain your positive brand and catch customers before they churn.
All your channels under one roof
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.
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