Hear the problem while it is still small
Customer trend detection from live contacts: emerging themes, sentiment shifts and volume spikes surfaced early from your own conversations, with alerts and drill-down to the underlying cases.
The problem
- A failed release, a delivery problem or a confusing policy shows up in conversations days before it shows up in a monthly report.
- Dashboards report what already happened, in totals that hide the theme that is growing fastest.
- By the time the pattern is obvious, the volume — and the damage to trust — has already landed.
How Quantara Flow AI does it
Themes from real conversations
Voice, chat, email and social contacts are analysed for recurring themes, wrap-up reasons and sentiment, so an emerging issue is visible as a shape rather than as a number.
Alerts on the metrics you choose
Metric alert rules watch the measures that matter to your operation and notify the right people when a threshold or unusual movement is crossed.
Drill down to the evidence
Every trend opens onto the actual cases and conversations behind it, so a claim can be verified in seconds.
Sentiment and effort, tracked per interaction
Sentiment and customer-effort signals are computed per interaction, so a rise in frustration is detectable before it becomes churn.
Straight into root cause
A confirmed trend can become a root-cause file with its contributing cases already attached.
What your operation gains
- Early visibility of emerging issues instead of month-end hindsight
- Alerts that reach an owner while the issue is still small
- Every trend verifiable against the conversations that produced it
- A direct path from signal to investigation to correction
What you can measure
Measured in your own workspace. We publish no benchmark figures we cannot evidence.
- Emerging themes by volume and rate of change
- Sentiment and customer-effort movement by channel and queue
- Alerts raised, acknowledged and resolved
- Time between first signal and corrective action
- Contact volume by theme over time
Governance and data handling
- Trends are computed per workspace from that workspace's own data only.
- Detected themes are advisory: escalation, alerting and corrective action follow your configured rules and owners.
- Drill-down respects role-based access, so evidence is visible only to those permitted to see it.
Questions
Where does the data come from?
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Only from your own workspace: cases, conversations, wrap-up reasons, sentiment and quality results. Nothing is pooled across customers.
Can we choose what triggers an alert?
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Yes. Alert rules are configured per workspace on the metrics you select, with your own thresholds and recipients.