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.)
Save hours of analytics time with automated Whatsapp chat tagging
Forget manual analytics. Using SentiSum, all you have to do is log in to the dashboard and you'll have instant access to which topics are driving your customer conversations.
Quickly understand the topic volume and sentiment of every Whatsapp chat, so you can identify areas for improvement.
Get to the root cause of why customers are contacting you thanks to NLP
Natural language processing understand support tickets at a granular level. You can dive and deep dive into the real reasons customers are contacting you. No high level or generic topic tags.
Report game-changing customer insights in minutes
To create real change, you must report customer insight in an actionable way, widely across your company. SentiSum makes that easy. Automatically subscribe anyone you want to a daily email that spreads trends in reason for contact and the top issues of each day.
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•Tags become outdated so insight is missed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