Retail & E-Commerce
AI-based decision intelligence data analytics platform that connects customer satisfaction, employee well-being, sales performance, and fraud prevention to revenue — across every location, channel, and interaction
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 act with confidence.
Customer Experience at Every Touchpoint
Make every shopping experience count — across every channel and every location. Connect customer signals into one platform that drives repeat visits, new customer acquisition, and measurable ROI by showing every team exactly what to do next.
Satisfaction-to-Revenue Mapping: Quantify exactly how improvements in product quality, service speed, and checkout experience translate into higher basket size, repeat visits, and customer lifetime value.
Omnichannel Integration: Unify feedback from in-store, online, mobile, and social channels into a single view of the customer journey — with clear attribution to revenue outcomes.
- Satisfaction-to-revenue mapping showing exactly which experience improvements drive the highest ROI
- Omnichannel journey analytics unifying feedback from physical stores, e-commerce, mobile apps, and contact centers
- Location-level benchmarking giving store managers real-time signals and regional leaders the full performance picture
- Churn prediction models that identify at-risk customers and recommend the most effective retention actions
Frontline Team Empowerment & Well-Being
Your frontline teams are the face of your brand. Averisys connects employee engagement, burnout, and well-being data with customer satisfaction scores and store revenue — showing you exactly where investing in your people produces the highest return.
Burnout-to-Revenue Mapping: Quantify how staff turnover, disengagement, and burnout directly affect service quality, customer satisfaction, and sales performance at every location.
Training ROI: Measure the direct revenue impact of onboarding programs, skills development, and leadership coaching on store-level customer outcomes.
- Direct linkage between employee well-being metrics and customer satisfaction scores across every location
- Burnout-to-revenue mapping showing how staff turnover and disengagement affect service quality and sales
- Frontline empowerment analytics connecting training investment, engagement scores, and store performance
- Workforce planning intelligence that optimizes staffing based on predicted demand and employee capacity
Sales Performance & Quitting Risk
Sales associate turnover is a hidden revenue leak. Averisys connects store associate and e-commerce seller sentiment, motivation, and burnout data with conversion, basket size, and quota attainment — 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 conversions, ramp costs, and territory disruption.
Coaching ROI: Identify which enablement and coaching actions are most likely to lift sales performance and retain top sellers at every location.
- Sentiment-to-quitting prediction that identifies frontline sellers at risk of leaving before resignations hit the schedule
- Conversion analytics connecting seller engagement, coaching quality, and store-level performance to revenue outcomes
- Attrition cost modeling that quantifies the revenue impact of turnover — lost sales, 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
Chargebacks, return abuse, and account-takeover fraud quietly erode retail margins. Averisys analyzes shopper behavior across stores and digital channels to flag suspicious activity in real time — so you stop losses before they are booked and protect legitimate revenue.
Behavioral Fraud Scoring: Detect chargeback, return, and ATO patterns at checkout and post-purchase — and prioritize the highest-risk cases for review.
Friction-vs-Loss Optimization: Tune verification steps to block fraud without driving legitimate shoppers away — and quantify the bottom-line impact of every policy change.
- Behavioral fraud scoring that flags suspicious transactions and returns in real time — before chargebacks and losses are booked
- Chargeback and return-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 checkout to block fraud without driving legitimate shoppers away
- Revenue-protection analytics that connect prevented losses, recovered transactions, and policy adjustments to measurable bottom-line impact
Advanced Machine Learning
Trend and forecasting - LightGBM
Trend and Forecasting
Track customer satisfaction, foot traffic, basket size, and employee engagement over time — forecast seasonal demand shifts and get early warnings when experience metrics drift across locations or channels.
Learn morePrediction - Recursive Feature Machine
Prediction
Predict customer churn, repeat purchase likelihood, and store performance with models that explain which satisfaction, pricing, and employee engagement factors are driving each outcome — in clear business terms.
Learn moreRelationship - Neural Structural Equation Modeling (SEM)
Relationship
Discover connections between store associate engagement, customer satisfaction, and revenue — map how pricing strategies, brand perception, and service quality interact to drive loyalty and basket size.
Learn moreGroup and Effect Analysis: Causal Forest
Segmentation
Compare performance across locations, customer segments, channels, and employee cohorts — instantly identify which differences in satisfaction, pricing, or staffing matter for revenue and retention.
Learn moreTime-to-event - Random Survival Forests
Time-to-Event Analysis
Predict when customers will churn, make their next purchase, or respond to a promotion — identify which satisfaction and pricing factors accelerate or delay each event and simulate campaign impact.
Learn moreAdvanced Natural Language Processing (NLP)
Sentiment Analysis - NLP
Qualitative Analysis
Analyze customer reviews, employee feedback, social media mentions, and survey responses at scale — surface recurring themes about product quality, staff experience, 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.
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.