Current Situation
Retaining customers less expensive than acquiring new customers; customer attrition based on price, available options, and regulations; cloud and IP-based competition increased the scope of available options
Goals and Objectives
Provide descriptive and diagnostic analysis that tells why customers churn and predictive analysis that can identify potential future churn and help operators fix issues and improve the customer experience proactively
Technology Deployed
Multiple operation tools that are employed; network sensors, customer user interface tools, the onboarding and service delivery process; data analytics and AI/ML offer predictive analysis to rectify problems and upsell new services
Use Case Summary
Applying ML models to predict churn; apply discounts and upsell with new offers and one-time short-term discounts to retain customers