Know why customers reach out.
Every conversation is auto-classified, scored for sentiment and rolled into trends — and Vivollo flags the questions your knowledge base can't answer yet, turning raw chats into a to-do list.
Auto-classification · sentiment · trends · knowledge gaps
- Order status1,240
- Returns & refunds486
- Sizing & fit312
Turns raw conversations into what to fix next.
Every conversation, categorized
Vivollo tags each conversation by topic, intent and your own custom dimensions — automatically. No manual tagging, no sampling: the whole picture, not a hand-coded slice of it.
- topic + intent
- custom dimensions
- sentiment per chat
- facets + breakdowns
See what's changing, early
Counts, sums and averages roll up into trends and segment correlations — so a spike in 'where's my order' or a dip in sentiment shows up before it becomes a flood of tickets.
- trends over time
- segment correlation
- resolution + response time
- sentiment shifts
It tells you what's missing
When customers keep asking something your knowledge base can't answer, Vivollo flags it — turning unanswered questions into a clear list of docs to write and flows to add.
- unanswered clusters
- missing-doc detection
- dimension suggestions
- act → close the gap
Raw chats → action
From conversations to a to-do list
Insights only matter if they tell you what to do next. Here's how raw conversations become decisions.
- 01
Collect
Every conversation across every channel flows in automatically.
- 02
Classify
Each chat is tagged by topic, intent, sentiment and your dimensions.
- 03
Detect
Trends, correlations and knowledge gaps surface on their own.
- 04
Act
Write the missing doc or tune a flow — then measure the lift.
Close a gap, write the doc — and watch the next week's numbers move.
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