AI-Powered Customer Value Management (CVM) Framework
The AI-Powered Customer Value Management (CVM) Framework enables telecom operators to predict churn, prevent dormancy, and orchestrate personalized retention campaigns across every customer channel.
Proactive Customer Value Management
By combining behavioral forecasting, survival modeling, and next-best-action analytics, the CVM Framework empowers telecom operators to maximize Customer Lifetime Value (CLV) and strengthen customer loyalty. It evolves CVM from static campaign lists and reactive churn treatment into a unified, intelligent ecosystem that continuously learns from real-time usage, billing, and interaction signals.
Challenge
Telecom operators often rely on fragmented CVM tools, manual rule-based segments, and late-stage churn interventions. This leads to high acquisition and reacquisition costs, limited personalization, and underutilized customer data.
Outcome
The result is a unified, AI-driven CVM engine that supports proactive customer value growth. It increases retention, reduces acquisition and win-back costs, and drives higher Average Revenue Per User (ARPU) through smarter, more timely offers and engagement strategies.
Predictive Attrition Engine
The Customer Retention Engine goes beyond traditional survival analysis by leveraging state-of-the-art deep learning techniques to accurately predict customer attrition. It proactively identifies churn risks, enabling timely interventions to retain valuable customers. Additionally, the engine continuously monitors customer behavior to detect dormancy and other early warning patterns that may lead to churn. By incorporating Customer Lifetime Value (CLV) metrics and advanced behavioral analytics, it delivers a comprehensive view of customer health and potential revenue impact. This holistic approach empowers businesses to engage customers proactively with targeted retention strategies and maximize long-term loyalty and profitability.
Engagement Signal Monitor
Tracks early warning signs—such as declining NPS, reduced recharge frequency, or data consumption—and triggers automated workflows within CRM systems for timely action.
Customer Value Optimizer (CLV Engine)
Calculates and forecasts Customer Lifetime Value at individual and segment levels, dynamically adjusting after targeted offers or win-back initiatives to optimize marketing investment.
Retention Campaign Simulator
Runs "what-if" analyses across multiple retention and upsell strategies, estimating uplift, reacquisition cost, and ROI under different scenarios.
Customer Event Forecaster
Predicts lifecycle milestones—acquisition, plan upgrade, churn, or reactivation—to support personalized offer timing and proactive engagement design.
Dynamic Segmentation & Offer Engine
Continuously refines customer clusters based on behavioral and contextual data, delivering real-time next-best-action or next-best-offer recommendations across digital and contact center channels.