Before you can fix anything, you need to know what's happening and why it's happening. Labelf classifies every interaction and finds the root cause — across every channel, automatically.
Every interaction classified into your categories — billing, technical, cancellation, sales. Automatically, across all channels. Your categories, your logic.
Root cause analysis on every category. System error? Policy confusion? Product gap? Missing self-service? We tell you why — not just what.
How it was handled and what it costs? That's Operational Efficiency.
You define what matters. AI does the rest.
Build classification hierarchies that match your business. Train models in your language, your lingo, your logic. No data science required.
What happened. Why it happened.
What happened is the symptom. Why it happened is the cause. Cross-reference them to find the patterns that matter.
See it changing before anyone else.
Track every contact reason over time. Spot spikes before they escalate. See which categories are growing, shrinking, or suddenly appearing — and understand why.
100 models. Every call. Cross-referenced.
Every interaction is classified by dozens of AI models simultaneously — what happened, why, how it was handled, customer segment, product, sentiment, sales intent, churn risk. Then we cross-reference all of them.
The result: any bucket against any metric. Any combination of dimensions. Any time window. In real time. We call it bucketeering — and it's how you find the patterns no one else sees.
2000+ dimensions. Infinite combinations.
Slice any contact reason by region, age, product, channel, churn risk, sales outcome, agent, team — or any combination. Find the patterns no one else sees.
"Billing disputes from mobile customers in the south region who churned within 30 days" — one click.
Follow the customer journey from contact to outcome.
Follow the path from contact reason to outcome. Which categories lead to resolution? Which ones don't? Where do customers get stuck in the journey?
Every root cause, mapped
What happened × Why it happened. Every root cause mapped so you know exactly where to dig deeper.
| Root Cause | Avg AHT | Cost/Year | Transfer % |
|---|---|---|---|
Billing disputeSystem error in invoice | 14.2 min | 2 340 000 kr2.3M kr | 34% |
Service cancellationCompetitor offer accepted | 11.8 min | 1 890 000 kr1.9M kr | 12% |
Technical supportRouter firmware outdated | 18.5 min | 1 650 000 kr1.6M kr | 45% |
Account changeSelf-service flow broken | 8.3 min | 980 000 kr980k kr | 8% |
Delivery complaintLogistics partner delay | 9.1 min | 720 000 kr720k kr | 22% |
Payment failureCard expiry not notified | 6.4 min | 540 000 kr540k kr | 5% |
Know your customers. Know your patterns.
Every interaction classified. Every pattern detected. Every root cause mapped. This is the foundation everything else builds on.
Interactions classified automatically
Dimensions: What and Why
Average integration window
In an operation of our scale, moving from data noise to decisive action is paramount. Labelf cuts through millions of interactions, providing the clear signals we need. Letting us act faster and with greater confidence on what truly matters, creating a better customer experience.
