Automotive & Mobility
AI-based decision intelligence data analytics platform — from assembly line to owner experience — measuring the impact of customer satisfaction, employee well-being, sales performance, and fraud prevention on revenue
Trusted by leading organizations
Leading automotive OEMs and dealers use Averisys to connect owner experience, workforce well-being, sales performance, and fraud prevention into a unified revenue intelligence platform — turning fragmented data into measurable commercial outcomes.
Owner Experience & Loyalty
Unify customer feedback across the entire ownership lifecycle — from digital research and showroom visits through service interactions and connected vehicle data — to build a complete picture of the owner experience. Quantify how satisfaction at each touchpoint drives repurchase, brand advocacy, and dealer revenue.
- Satisfaction-to-revenue mapping that connects owner experience scores directly to repurchase likelihood, service retention, and dealer profitability
- Omnichannel journey tracking across digital configurators, dealership visits, service appointments, and connected vehicle interactions with automated sentiment analysis
- Dealer experience intelligence that measures customer satisfaction by location, service type, and interaction channel — linking it to CSI scores and revenue per RO
- Post-purchase experience analytics that identify friction points in ownership and quantify the revenue impact of warranty, recall, and service interactions
Workforce Well-Being & Quality
Automotive companies with engaged plant workers achieve higher first-time-right rates and lower warranty costs. Averisys measures the direct link between employee motivation, safety culture, and burnout — and their measurable impact on vehicle quality, production efficiency, and revenue.
Burnout-to-Revenue Mapping: Quantify how assembly line disengagement affects defect rates, rework costs, and total warranty spend per vehicle.
Dealer Workforce Impact: Connect dealership employee satisfaction to customer experience scores, sales conversion rates, and service revenue.
- Direct linkage between employee well-being metrics and vehicle quality scores, defect rates, and warranty claim volumes
- Burnout-to-revenue mapping showing how assembly line turnover and disengagement affect production throughput, first-time-right rates, and total warranty costs
- Engineering team engagement tracking that connects R&D motivation to program delivery timelines, innovation output, and vehicle launch quality
- Dealership workforce well-being monitoring linked to customer satisfaction scores, sales conversion rates, and service revenue per employee
Sales Performance & Quitting Risk
Dealer sales staff turnover quietly drains showroom revenue. Averisys connects seller sentiment, motivation, and burnout with conversion and quota attainment — so you can predict who is about to quit and protect the deals they carry.
- Sentiment-to-quitting prediction that identifies dealer sales reps at risk of leaving before resignations hit the showroom floor
- Conversion analytics connecting seller engagement, coaching quality, and dealership performance to gross profit per unit and revenue outcomes
- Attrition cost modeling that quantifies the revenue impact of seller turnover — lost deals, ramp time, and customer 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
Financing, warranty, and chargeback fraud erode automotive margins. Averisys analyzes buyer and dealer behavior to flag suspicious activity in real time — protecting legitimate revenue before losses are booked.
- Behavioral fraud scoring that flags suspicious financing applications, warranty claims, and payment events in real time — before losses are booked
- Financing and warranty fraud prediction models that quantify exposure, prioritize the highest-risk cases, and recommend the next best action
- Friction-vs-loss optimization that tunes verification at deal close and claim submission to block fraud without slowing legitimate transactions
- Revenue-protection analytics that connect prevented losses, recovered claims, and policy adjustments to measurable bottom-line impact
Advanced Machine Learning
Trend and forecasting - LightGBM
Trend and Forecasting
Track warranty claims, component failure rates, and quality metrics over time — forecast emerging issues, model demand by segment, and get early warnings before trends become costly recalls or missed sales targets.
Learn morePrediction - Recursive Feature Machine
Prediction
Predict component failures, warranty costs, customer churn, and quality outcomes with models that explain which vehicle, manufacturing, and experience factors are driving each prediction.
Learn moreRelationship - Neural Structural Equation Modeling (SEM)
Relationship
Discover connections between vehicle configurations, manufacturing plants, owner satisfaction, and employee engagement — map how assembly processes, dealership experience, and pricing interact to drive warranty outcomes and loyalty.
Learn moreGroup and Effect Analysis: Causal Forest
Segmentation
Compare quality performance, customer satisfaction, and revenue across vehicle lines, model years, dealer groups, and market segments — instantly identify which differences are meaningful for engineering, marketing, and pricing decisions.
Learn moreTime-to-event - Random Survival Forests
Time-to-Event Analysis
Predict when components will fail, when owners will defect to competitors, or when service customers will lapse — identify the timing-based risk factors and simulate the impact of design changes, retention offers, or extended warranties.
Learn moreAdvanced Natural Language Processing (NLP)
Sentiment Analysis - NLP
Qualitative Analysis
Analyze technician repair notes, customer complaints, dealer feedback, and social media conversations at scale — surface recurring failure patterns, experience themes, and emerging quality concerns 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.