AI
Top contact reasons
Every conversation is labelled with why the customer got in touch, and the labels are merged into one clean list, shown in Arabic and English.
How it works
01
Every conversation is labelled with why the customer got in touch
02
Similar labels are merged into one clean list
03
The list is ranked and shown in Arabic and English
04
You see what drives volume and fix it at the source
Related use cases
Root causeAI
Customer pain points
Recurring frustrations are pulled out of conversations and ranked by how often they come up.ImpactA prioritised list of what to fix next
All channelsSentimentAISentiment across channels
Positive, neutral and negative sentiment tracked across every channel, with trends over time.ImpactSpot a drop before it becomes a problem
All channelsCopilotAIAsk Aida, your copilot
Ask anything in plain language: why volume rose this week, which customers are unhappy, which rep is overloaded. Aida answers from your own data.ImpactAnswers in seconds, without waiting for a report
DashboardPerformanceAIAutomation performance
AI resolution and escalation rates, first response time and hours saved, each compared with the previous period.ImpactThe business case, measured every week
All channels