Get actionable insights from your SQL Server environment. Surface real-time sentiment, detect root causes, and drive decisions directly from structured and unstructured feedback stored in your enterprise data warehouse.
SQL Server is a robust and widely adopted enterprise-grade RDBMS. But raw survey data, reviews, call transcripts, and NPS comments stored in SQL tables often lack contextual understanding, especially when feedback is unstructured or multi-source.
Clootrack feedback analytics adds meaning and momentum. Our unsupervised AI connects to your SQL Server tables, automatically processes feedback data, and delivers high-impact insights without any manual tagging or data prep.
Automatically cluster disjointed customer feedback data into business-relevant issues and requests.
Spot at-risk cohorts early using language patterns, intensity, and feedback frequency.
Track evolving sentiment trends in real time across regions and segments.
Analyze feedback instantly with Clootrack Genie, our multi-agent reasoning engine.
Converts qualitative inputs into measurable drivers with traceability.
Bring surveys, CRM notes, tickets, chats, and reviews into one semantic layer.
No data exports needed. Connect, configure, and start mining signals in your tables.
Pinpoint which feature gaps or UX blockers appear most often across feedback segments and timelines.
Detect early churn indicators within feedback and act before attrition impacts performance and KPIs.
Understand how customer needs evolve across geographies or product lines, with AI-detected trends from raw data in your server environment.