SentiSum's AI-powered support ticket tags apply granular 'reasons for complaints' in real-time. We make understanding complaints at scale easy, so you can report in minutes and start driving company-wide improvements.
"I can now easily show the rest of the company what's driving customer contact and together we can drive positive change. It's exciting."
Director of Customer Service, +$50m revenue fast-growth company
SentiSum's core technology is a machine-learning based NLP engine.
It's designed to uncover ticket tag insights that are:
1/ Accurate: It tags based on meaning, not keywords.
2/ Granular: It applies topics at a root cause level.
3/ Up-to-date: It surfaces new and trending issues.
You can trust them to underpin strategic change across your business.
P.s. We cover almost every language and contact channel (even voice).
SentiSum's machine learning-based analytics uncovers granular insight, whatever the scale of complaints you have.
You'll suddenly have access to quantitative topics and their sentiment, in enough detail to uncover what's responsible and work on a fix.
Our daily digest email ensures you stay up-to-date with performance, top ticket drivers and the largest rises and falls in topics.
Subscribe anyone to bring company-wide access to support data. You'll see a refocus on customer experience that helps you to reduce ticket volumes.
With SentiSum's simple-to-use UI, you won't need technical know-how to understand the topic and sentiment of every support ticket.
You, or anyone in your company, can simply switch between contact channels, filter by topic or subtopic, and have instant access to the issues facing your customers across every contact channel.
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.
Customer support is frequently described as a 'black box'. There's endless amounts of data hidden away in those customer conversation and complaints but it's largely inaccessible. Uncovering that data is critical. And reporting it companywide creates a competitive advantage. When you create access to complaints, by quantifying large volume of qualitative data, you can help your team to start tackling bad CX, customer disatisfaction and drivers of churn in a heartbeat.