AI/ML for customer experience: QoE prediction, churn, capacity planning

QoE Prediction and Service Experience Analytics

Quality of Experience prediction translates network-level metrics into subscriber-perceived service quality scores. ML models map measurable KPIs -- throughput, latency, jitter, packet loss -- to application-specific MOS (Mean Opinion Score) predictions for voice, video, and web browsing. NWDAF provides observed service experience analytics (per TS 23.288) that aggregate per-UE and per-application QoE estimates. Operators use these predictions to identify subscribers experiencing degraded service before they complain, enabling proactive customer care outreach and targeted network optimization…