Manufacturing
AI-based decision intelligence data analytics platform that connects customer satisfaction, employee well-being, sales performance, and fraud prevention to revenue — driving quality, safety, 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 drive quality, safety, and growth.
Customer Experience & Product Quality
Every product shipment, support interaction, and quality outcome shapes customer loyalty. Averisys connects operational performance data with customer satisfaction signals — quantifying the revenue impact of every quality and service decision.
Satisfaction-to-Revenue Mapping: Quantify exactly how improvements in product quality, delivery performance, and technical support translate into higher retention, larger orders, and customer lifetime value.
Quality-to-Loyalty Analytics: Connect defect rates, resolution speed, and communication quality to customer satisfaction scores, reorder rates, and contract renewals.
- Satisfaction-to-revenue mapping showing exactly which quality and service improvements drive the highest customer retention and order growth
- Product quality experience analytics connecting defect rates, delivery timeliness, and support responsiveness to customer loyalty and reorder rates
- Supply chain transparency tracking linking lead times, communication quality, and order accuracy to customer satisfaction and contract renewals
- Customer segmentation models identifying which accounts are at risk and which quality and service investments yield the highest ROI
Employee Experience, Safety & Well-Being
Plant operators and engineering teams work in demanding environments. Averisys connects employee engagement, burnout, and well-being data with safety performance, product quality, and revenue — showing exactly where investing in your workforce produces the highest return.
Burnout-to-Revenue Mapping: Quantify how operator turnover, disengagement, and fatigue directly affect defect rates, production output, and customer satisfaction scores.
Safety-to-Performance Linkage: Measure the direct impact of safety culture initiatives, training programs, and well-being investments on incident reduction and operational efficiency.
- Direct linkage between employee well-being metrics and product quality scores, defect rates, and customer satisfaction
- Burnout-to-revenue mapping showing how operator turnover and disengagement affect production output, quality, and delivery performance
- Safety culture analytics connecting training investment, engagement scores, and workforce well-being to incident reduction and operational efficiency
- Workforce planning intelligence that optimizes shift scheduling and staffing based on production demand, skill requirements, and employee capacity
Sales Performance & Quitting Risk
B2B sales rep turnover quietly drains contract wins and revenue. Averisys connects seller and account manager sentiment, motivation, and burnout with win rates and quota attainment — so you can predict who is about to quit and protect the accounts they carry.
Quitting-to-Revenue Mapping: Quantify exactly how seller disengagement and burnout translate into lost contracts, ramp costs, and account disruption.
Coaching ROI: Identify which enablement and coaching actions are most likely to lift win rates and retain top sellers across every territory.
- Sentiment-to-quitting prediction that identifies B2B sellers and account managers at risk of leaving before resignations hit the pipeline
- Win-rate analytics connecting seller engagement, coaching quality, and territory performance to contract wins and revenue outcomes
- Attrition cost modeling that quantifies the revenue impact of seller turnover — lost contracts, 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
Procurement, warranty, and invoice fraud erode manufacturing margins. Averisys analyzes partner, supplier, and customer behavior to flag suspicious activity in real time — protecting legitimate revenue before losses are booked.
Behavioral Fraud Scoring: Detect procurement, warranty, and invoicing fraud patterns across the supply chain — and prioritize the highest-risk cases for review.
Friction-vs-Loss Optimization: Tune verification at order entry and claim submission to block fraud without slowing legitimate transactions — and quantify the bottom-line impact of every policy change.
- Behavioral fraud scoring that flags suspicious invoices, warranty claims, and procurement events in real time — before losses are booked
- Procurement 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 order entry 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 customer satisfaction, production quality, defect rates, and employee engagement over time — forecast demand cycles, quality drift, and get early warnings when experience or operational metrics shift.
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 product quality, employee engagement, pricing perception, and customer loyalty — map how workforce well-being, brand reputation, and operational performance interact to drive revenue.
Learn moreGroup and Effect Analysis: Causal Forest
Segmentation
Compare performance across production lines, customer segments, employee cohorts, and facilities — instantly identify which differences in satisfaction, pricing, or engagement matter for revenue and quality improvement.
Learn moreTime-to-event - Random Survival Forests
Time-to-Event Analysis
Predict when customers will reorder or churn, when equipment will fail, or when employees will disengage — identify 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 feedback, operator notes, maintenance logs, and employee surveys at scale — surface recurring themes about product quality, workplace safety, pricing fairness, and brand perception.
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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