Energy & Utilities
AI-based decision intelligence data analytics platform that connects customer satisfaction, employee well-being, sales performance, and fraud prevention to revenue — powering reliable service and sustainable growth
Trusted by leading organizations
Four integrated intelligence pillars that connect customer satisfaction, employee well-being, sales performance, and fraud prevention to revenue — giving every team the insights to deliver reliable service and sustainable growth.
Customer Experience & Service Reliability
Every outage, billing interaction, and service call shapes customer loyalty. Averisys connects operational performance data with customer satisfaction signals — quantifying the revenue impact of every experience touchpoint across residential and commercial accounts.
Satisfaction-to-Revenue Mapping: Quantify exactly how improvements in outage communication, billing clarity, and service responsiveness translate into higher retention, lower churn, and increased customer lifetime value.
Omnichannel Integration: Unify feedback from call centers, digital portals, field interactions, and surveys into a single view of the customer journey — with clear attribution to revenue outcomes.
- Satisfaction-to-revenue mapping showing exactly which service improvements drive the highest retention, loyalty, and revenue growth
- Outage experience analytics connecting communication quality, resolution speed, and reliability to customer churn and satisfaction scores
- Rate change impact modeling that predicts customer response to pricing adjustments before they take effect
- Regulatory satisfaction tracking linking compliance metrics, public sentiment, and community engagement to brand trust and customer retention
Employee Experience, Safety & Well-Being
Field crews and plant operators work in demanding conditions. Averisys connects employee engagement, burnout, and well-being data with safety performance, service quality, and revenue — showing exactly where investing in your workforce produces the highest return.
Burnout-to-Revenue Mapping: Quantify how field crew turnover, disengagement, and fatigue directly affect response times, safety incidents, and customer satisfaction scores.
Safety-to-Performance Linkage: Measure the direct impact of safety culture initiatives, training programs, and well-being investments on operational performance and regulatory compliance.
- Direct linkage between employee well-being metrics and safety incident rates, service quality scores, and customer satisfaction
- Burnout-to-revenue mapping showing how field crew turnover and disengagement affect response times, outage restoration, and customer retention
- Safety culture analytics connecting training investment, engagement scores, and workforce well-being to incident reduction and operational performance
- Workforce planning intelligence that optimizes crew scheduling and staffing based on predicted demand, weather events, and employee capacity
Sales Performance & Quitting Risk
Retail and commercial energy sales rep turnover quietly drains acquisition and retention revenue. Averisys connects seller sentiment, motivation, and burnout with quota attainment and account retention — so you can predict who is about to quit and protect the revenue they carry.
Quitting-to-Revenue Mapping: Quantify exactly how seller disengagement and burnout translate into lost accounts, ramp costs, and territory disruption.
Coaching ROI: Identify which enablement and coaching actions are most likely to lift sales performance and retain top sellers across every market.
- Sentiment-to-quitting prediction that identifies retail and B2B energy sellers at risk of leaving before resignations hit the pipeline
- Acquisition and retention analytics connecting seller engagement, coaching quality, and territory performance to revenue outcomes
- Attrition cost modeling that quantifies the revenue impact of seller turnover — lost accounts, ramp time, and territory 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
Energy theft, meter tampering, and billing fraud erode utility margins. Averisys analyzes customer and account behavior to flag suspicious activity in real time — protecting legitimate revenue before losses are booked.
Behavioral Fraud Scoring: Detect theft, tampering, and billing fraud patterns across residential and commercial accounts — and prioritize the highest-risk cases for review.
Friction-vs-Loss Optimization: Tune verification at enrollment and account changes to block fraud without driving legitimate customers away — and quantify the bottom-line impact of every policy change.
- Behavioral fraud scoring that flags suspicious usage patterns, meter events, and account changes in real time — before losses are booked
- Energy theft and billing 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 enrollment and account changes to block fraud without driving legitimate customers 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 customer satisfaction, energy demand, grid reliability, and employee engagement over time — forecast consumption patterns, service disruptions, and get early warnings when experience or operational metrics drift.
Learn morePrediction - Recursive Feature Machine
Prediction
Predict customer churn, equipment failures, and employee attrition with models that explain which satisfaction, pricing, brand, and well-being factors are driving each outcome — in clear business terms.
Learn moreRelationship - Neural Structural Equation Modeling (SEM)
Relationship
Discover connections between service reliability, pricing perception, employee engagement, and customer retention — map how operational performance, brand trust, and workforce well-being interact to drive revenue and loyalty.
Learn moreGroup and Effect Analysis: Causal Forest
Segmentation
Compare performance across regions, customer segments, employee cohorts, and service types — instantly identify which differences in satisfaction, pricing, or engagement matter for revenue and operational improvement.
Learn moreTime-to-event - Random Survival Forests
Time-to-Event Analysis
Predict when customers will switch providers, when assets will fail, or when employees will disengage — identify the timing-based factors and simulate the impact of retention and maintenance interventions.
Learn moreAdvanced Natural Language Processing (NLP)
Sentiment Analysis - NLP
Qualitative Analysis
Analyze customer complaints, field crew feedback, regulatory filings, and survey responses at scale — surface recurring themes about service quality, pricing fairness, brand trust, and workplace safety.
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.
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