Telecommunications
AI-based decision intelligence data analytics platform — from network to subscriber — measuring the impact of customer experience, employee well-being, sales performance, and fraud prevention on revenue growth
Trusted by leading organizations
Leading telecommunications companies use Averisys to connect subscriber experience, employee well-being, sales performance, and fraud prevention into a unified revenue intelligence platform — turning fragmented data into measurable commercial outcomes.
Subscriber Experience & Retention
Unify subscriber feedback across every channel — call centers, retail stores, digital self-service, and social media — to build a complete picture of the customer experience. Quantify how satisfaction at each touchpoint drives churn, plan upgrades, and lifetime value.
- Satisfaction-to-revenue mapping that connects subscriber experience scores directly to churn rates, plan upgrades, and average revenue per user
- Omnichannel experience tracking across retail stores, call centers, digital self-service, and chat with automated sentiment analysis
- Network experience intelligence that links QoE metrics — latency, throughput, dropped calls — to subscriber satisfaction and revenue impact
- Subscriber journey analytics that identify friction points from acquisition through renewal and quantify the revenue impact of experience improvements
Workforce Well-Being & Service Quality
Telecom companies with engaged call center agents achieve higher first-call resolution and lower churn. Averisys measures the direct link between employee motivation, burnout, and well-being — and their measurable impact on service quality, subscriber retention, and revenue.
Burnout-to-Revenue Mapping: Quantify how agent turnover and disengagement affect average handle time, escalation rates, and subscriber churn.
Field Workforce Impact: Connect technician satisfaction to installation quality, repeat dispatch rates, and network reliability scores.
- Direct linkage between employee well-being metrics and first-call resolution rates, average handle time, and subscriber satisfaction scores
- Burnout-to-revenue mapping showing how call center turnover and agent disengagement affect customer churn, escalation rates, and cost-to-serve
- Field technician engagement tracking that connects workforce satisfaction to installation quality, repeat dispatch rates, and network uptime
- Corporate and engineering team well-being monitoring linked to product launch timelines, network modernization velocity, and innovation output
Sales Performance & Quitting Risk
Telecom sales rep turnover quietly drains pipeline and gross adds. Averisys connects retail and B2B seller sentiment, motivation, and burnout with quota attainment and ARPU — so you can predict who is about to quit and protect the revenue they carry.
- Sentiment-to-quitting prediction that identifies retail and enterprise sellers at risk of leaving before resignations hit the pipeline
- Quota attainment analytics connecting sales rep engagement, coaching quality, and territory performance to ARPU and gross adds
- Attrition cost modeling that quantifies the revenue impact of seller turnover — lost deals, ramp time, and account disruption
- Sales coaching intelligence that surfaces enablement gaps and pinpoints the actions most likely to lift performance and retain top talent
Fraud Intelligence & Revenue Protection
Subscription fraud, SIM swap, and chargeback abuse erode telecom margins. Averisys analyzes subscriber behavior across activations, account changes, and billing events to flag suspicious activity in real time — protecting legitimate revenue before losses are booked.
- Behavioral fraud scoring that flags suspicious activations, SIM swaps, and billing events in real time — before losses are booked
- Subscription and chargeback fraud prediction models that quantify exposure, prioritize the highest-risk accounts, and recommend the next best action
- Friction-vs-loss optimization that tunes verification at activation and account changes to block fraud without driving legitimate subscribers away
- Revenue-protection analytics that connect prevented losses, recovered charges, and policy adjustments to measurable bottom-line impact
Advanced Machine Learning
Trend and forecasting - LightGBM
Trend and Forecasting
Track network traffic, subscriber growth, ARPU trends, and service quality over time — forecast capacity needs, predict seasonal demand patterns, and get early warnings when performance or satisfaction metrics deviate from targets.
Learn morePrediction - Recursive Feature Machine
Prediction
Predict subscriber churn, network faults, upgrade propensity, and revenue trends with models that explain which factors — network quality, pricing, service interactions, employee engagement — are driving each outcome.
Learn moreRelationship - Neural Structural Equation Modeling (SEM)
Relationship
Uncover connections between subscriber plans, usage patterns, satisfaction levels, and employee engagement — map how network quality, pricing, agent well-being, and service interactions interact to drive churn, ARPU, and lifetime value.
Learn moreGroup and Effect Analysis: Causal Forest
Segmentation
Compare performance across subscriber segments, regions, service tiers, and channel types — instantly identify which differences matter for pricing, retention, network investment, and workforce allocation decisions.
Learn moreTime-to-event - Random Survival Forests
Time-to-Event Analysis
Predict when subscribers will churn, upgrade, or deactivate — identify the timing-based risk factors including contract milestones, service incidents, and competitive offers — and simulate the impact of targeted retention campaigns.
Learn moreAdvanced Natural Language Processing (NLP)
Sentiment Analysis - NLP
Qualitative Analysis
Analyze call center transcripts, customer reviews, social media feedback, and agent notes at scale — surface service quality themes, emerging subscriber concerns, and competitive switching triggers from unstructured text.
Learn moreAdvanced Large Language Model (LLM)
Interpretation, Risk Identification, What-if Analysis, Reports, Question Responses, and Recommendation
Interpretation, Risk Identification, What-if Analysis, Reports, Question Responses, and Recommendation
Interpret every analytical result in plain English with executive-ready reports, risk identification, and prioritized recommendations. Ask follow-up questions in plain language and receive detailed, evidence-based answers on demand.
Learn moreAverisys Analytics guarantees its security.
Ready to make AI‑based intelligence decisions?
Watch a demo and discover how Averisys — an AI‑based decision intelligence data analytics platform — turns your data into clear predictions, actionable insights, and confident decisions.