Consumer Packaged Goods
AI-based decision intelligence data analytics platform — from shelf to shopper — measuring the impact of consumer experience, employee well-being, sales performance, and fraud prevention on revenue growth
Trusted by leading organizations
Leading CPG companies use Averisys to connect consumer experience, employee well-being, sales performance, and fraud prevention into a unified revenue intelligence platform — turning fragmented data into measurable commercial outcomes.
Consumer Experience & Loyalty
Unify consumer feedback across every channel — e-commerce reviews, social media, customer service, and in-store research — to build a complete picture of the consumer experience. Quantify how satisfaction at each touchpoint drives repeat purchase, brand loyalty, and lifetime value.
- Satisfaction-to-revenue mapping that connects consumer experience scores directly to sell-through rates, retailer compliance, and category revenue performance
- Omnichannel experience tracking across in-store, e-commerce, D2C, and marketplace channels with automated sentiment analysis
- Retailer relationship intelligence that measures distributor and retail partner satisfaction and links it to shelf placement, promotional compliance, and volume growth
- Consumer journey analytics that identify friction points from awareness through purchase and quantify revenue impact of experience improvements
Workforce Well-Being & Quality
CPG companies with engaged plant workers produce fewer defects and achieve higher production yields. Averisys measures the direct link between employee motivation, safety culture, and burnout — and their measurable impact on product quality, innovation speed, and revenue.
Burnout-to-Revenue Mapping: Quantify how sales force disengagement affects retail relationships, promotional execution, and territory revenue.
Quality-Linked Well-Being: Connect plant workforce satisfaction to defect rates, production efficiency, and consumer complaint volumes.
- Direct linkage between employee well-being metrics and product quality scores, production efficiency, and consumer complaint rates
- Burnout-to-revenue mapping showing how sales force turnover and disengagement affect retail relationships, shelf performance, and territory revenue
- R&D and innovation team engagement tracking that connects creative motivation to product launch success rates and time-to-market
- Plant and warehouse workforce well-being monitoring linked to safety incidents, production downtime, and fulfillment accuracy
Sales Performance & Quitting Risk
Field sales and account manager turnover quietly drains retailer execution and revenue. Averisys connects seller sentiment, motivation, and burnout with shelf share, compliance, and quota attainment — so you can predict who is about to quit and protect the accounts they carry.
- Sentiment-to-quitting prediction that identifies field reps and account managers at risk of leaving before resignations hit the pipeline
- Execution analytics connecting seller engagement, coaching quality, and territory performance to retailer compliance, shelf share, and 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
Coupon, return, and trade-promotion fraud erode CPG margins. Averisys analyzes consumer, retailer, and partner behavior to flag suspicious activity in real time — protecting legitimate revenue before losses are booked.
- Behavioral fraud scoring that flags suspicious coupon redemptions, returns, and trade-claim submissions in real time — before losses are booked
- Trade and coupon fraud prediction models that quantify exposure, prioritize the highest-risk claims, and recommend the next best action
- Friction-vs-loss optimization that tunes verification on promotions and returns to block fraud without slowing legitimate consumers and retailers
- Revenue-protection analytics that connect prevented losses, recovered deductions, and policy adjustments to measurable bottom-line impact
Advanced Machine Learning
Trend and forecasting - LightGBM
Trend and Forecasting
Track sales velocity, consumer sentiment, and category performance over time — forecast seasonal demand, identify emerging trends, and get early alerts when market dynamics shift.
Learn morePrediction - Recursive Feature Machine
Prediction
Predict promotional lift, demand fluctuations, and consumer preferences with models that clearly explain which factors — pricing, seasonality, competitive activity — are driving each outcome.
Learn moreRelationship - Neural Structural Equation Modeling (SEM)
Relationship
Uncover connections between consumer demographics, purchase behavior, and channel preferences — map how pricing, promotions, brand perception, and employee engagement interact to drive sales and market share.
Learn moreGroup and Effect Analysis: Causal Forest
Segmentation
Compare performance across brands, regions, consumer segments, and retail channels — instantly find which differences matter for portfolio strategy, marketing investment, and pricing decisions.
Learn moreTime-to-event - Random Survival Forests
Time-to-Event Analysis
Predict when consumers will repurchase, switch brands, or adopt new products — identify timing-based drivers and simulate the impact of loyalty programs, promotions, and retention campaigns.
Learn moreAdvanced Natural Language Processing (NLP)
Sentiment Analysis - NLP
Qualitative Analysis
Analyze consumer reviews, focus group transcripts, social media conversations, and retailer feedback at scale — surface emerging preferences, brand perception themes, and unmet needs 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.
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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.