Question: I'm looking for a tool that uses AI to categorize customer feedback into relevant themes, can you suggest one?

If you're looking for a tool that uses AI to categorize customer feedback into relevant themes, Enterpret is a top contender. It aggregates feedback from different sources, including social media, sales calls and support tickets, and uses adaptive AI models to offer detailed insights. Highlights include a custom unified feedback taxonomy, advanced semantic search and enterprise-level security, making it a good option for product development and customer experience teams.

Another top contender is Anecdote, which offers real-time insights by monitoring and analyzing feedback from a variety of sources like App Store reviews and support messages. Its proprietary Natural Language Processing Engine can identify bugs and sentiment trends, and it integrates with more than 65 feedback sources, with features like automated AI tagging and customizable alerts. That makes it a good option for global teams trying to reduce churn and improve customer satisfaction.

Syncly also offers a powerful option by using AI-powered feedback analysis to categorize feedback and spot negative trends. It offers dynamic sentiment analysis and an auto-prioritization of critical issues, along with one-click integrations to consolidate feedback from multiple channels. That can help teams spot problems and improve the customer experience more proactively.

Last, ClientZen automates the cleaning, analysis and monitoring of feedback across the customer journey. It includes AI-powered data cleaning and auto-tagging, real-time impact monitoring and accurate insights. That makes it a good option for teams in customer experience, support, product management and marketing who want to simplify feedback analysis and get better customer insights.