AI
Customer pain points
Recurring frustrations are pulled out of conversations and ranked by how often they come up.
How it works
01
Conversations are read for recurring frustrations and complaints
02
Similar complaints are grouped together
03
They are ranked by how often they come up
04
You get a prioritised list of what to fix next
Related use cases
Root causeAI
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.ImpactSee what drives volume, then fix it at the source
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