TelcoAI Customer Intelligence

Telecom operators sit on vast amounts of customer behavioural data—usage patterns, revenue trends, service subscriptions—but struggle to translate this into actionable commercial decisions. Without a systematic approach to identify churn risks, upsell opportunities, and cross-sell potential, revenue leaks through customer attrition, under-served high-value segments, and missed campaign timing. Decisions are often gut-driven rather than data-driven.

TelcoAI is a full customer intelligence platform that ingests behavioural and transactional data, classifies customers into seven distinct patterns (Churn Risk, Upsell Ready, Cross-sell, VAS Potential, Data Upgrader, Premium Candidate, Dormant), and maps those patterns to six strategic data products with projected financial outcomes. Every recommendation comes with ARPU lift, CLV protection, and ROI projections—so decisions are backed by numbers, not assumptions.

1. 1Feature Engineering — 21 customer features are extracted and normalised from revenue, traffic, and subscription data—including engineered features like data-voice ratio and bolt-on adoption flags.
2. 2Behavioural Pattern Detection — Customers are classified into seven patterns using rule-based detection with confidence scoring. Each pattern maps to specific commercial actions and data products.
3. 3Hybrid ML Recommendations — A 60/40 ensemble of LightGBM (content-based) and NMF (collaborative filtering) generates product recommendations, refined by telecom-specific business rules for B2B/B2C segments.
4. 4Value Projection — Every recommendation includes projected ARPU lift, annual revenue impact, CLV protection (2-year horizon), and campaign ROI—translating ML scores into business language.
5. 5Campaign Simulation — Model and compare up to five campaign scenarios across 3-24 month timelines with revenue ramp-up curves and confidence assessments before committing resources.

The platform transforms raw telecom data into a portfolio of six actionable data products (Churn Prevention, Revenue Uplift, ARPU Growth, Bundle Optimisation, VAS Monetisation, Loyalty Programme)—each with conversion rate benchmarks, cost-per-customer projections, and expected financial lift. The executive dashboard provides real-time portfolio visibility via WebSocket-powered metrics, while PDF export enables field teams to generate per-customer recommendation reports for commercial conversations.

Technology Stack