Most contact centers rely on manual tagging and limited call sampling, missing critical customer insights. This demo shows how Clootrack analyzes 100% of voice conversations using AI to uncover true call drivers, sentiment patterns, and root causes. See how to automate call analysis with zero setup, no keyword rules, and full visibility into customer intent.
AI can now process 100% of contact center conversations, eliminating the need for manual tagging or reviewing call samples. It identifies why customers are calling, detects sentiment shifts, and surfaces recurring call drivers at scale. Clootrack applies this approach using unsupervised models that deliver over 97% accuracy directly from full transcripts.
Customers often call about delayed deliveries, order issues, or unresolved complaints, especially when agents lack full visibility or context. Unsupervised AI can detect these themes and their root causes across thousands of transcripts. Clootrack enables this with granular call driver analysis, breaking down conversations into theme trees, sub-issues, and emotion patterns.
To improve satisfaction, teams need to connect low scores to what actually happens during a call, like long wait times, poor resolution, or miscommunication. AI can link these themes directly to CSAT and DSAT trends. Clootrack provides this visibility by automatically mapping sentiment and experience patterns to corresponding feedback scores.
Yes. Modern AI tools allow you to go beyond general themes and investigate detailed issues, such as shipment delays, unavailable product data, or payment errors. Clootrack makes this possible by pairing transcript-based call drivers with sub-theme-level drill-downs and linked summaries, giving teams clarity into exactly what went wrong.
AI can highlight when agents struggle with issues like incomplete customer data, supply chain blockers, or rigid processes. These patterns often go unnoticed in manual QA workflows. Clootrack surfaces them through unbiased, AI-driven summaries of agent-side pain points directly pulled from thousands of real call transcripts.
Custom dashboards let you analyze calls based on your priorities, tracking drivers by agent, emotion, call reason, or even delivery status. You can tailor the view to focus on resolution quality, frustration levels, or policy friction. Clootrack supports this by allowing CX and ops teams to build dynamic dashboards filtered by any data dimension.
AI agents enable teams to ask questions like “What causes most complaints after order confirmation?” and get immediate, theme-based answers. They simplify data exploration, summarize patterns, and highlight problem areas without needing manual slicing. Clootrack’s GenAI assistant, Clootrack Genie, acts as a conversational layer that helps extract deep insights from transcripts at scale.
