Telecom Revenue & Churn Forecasting
This AI application predicts customer churn and its revenue impact across telecom subscriber bases, products, and segments. By identifying at-risk customers early and quantifying the expected revenue loss, it enables targeted retention offers, optimized pricing, and proactive service interventions that directly protect and grow recurring revenue.
The Problem
“Forecast churn and revenue at risk across subscribers, plans, and segments”
Organizations face these key challenges:
Retention campaigns are broad and discount-heavy because at-risk customers aren’t identified early enough
Churn analysis is backward-looking (monthly reports) with weak linkage to revenue impact
Data silos (CDR/usage, billing, network QoE, CRM) cause inconsistent churn metrics and slow experimentation
High false positives lead to wasted offers; high false negatives miss preventable churn