Travel & Hospitality
Measure how guest satisfaction, employee well-being, sales performance, and fraud prevention drive revenue — and take action across every property, channel, and guest segment
Trusted by leading organizations
Averisys brings together guest experience, employee well-being, sales performance, and fraud prevention into one platform — so you can see exactly how each dimension drives revenue and take action across every property.
Guest Experience Intelligence
Connect every guest signal — surveys, reviews, digital interactions, and contact center calls — into one platform that shows you what's driving satisfaction, loyalty, and revenue across every property and channel.
Satisfaction-to-Revenue Mapping: Quantify exactly how improvements in check-in speed, room quality, dining, and spa experiences translate to higher RevPAR and repeat bookings.
Journey Intelligence: Understand the complete guest journey from booking through post-stay, identifying the moments that matter most for loyalty and lifetime value.
Real-Time Recovery: Surface guest concerns while they're still on property, enabling staff to recover experiences before checkout — turning detractors into promoters.
- Connect CSAT, NPS, and online review scores to RevPAR and lifetime guest value
- Real-time alerts when guest satisfaction drops below property-level thresholds
- Journey mapping from booking through post-stay to identify the moments that drive rebooking
- Cross-property benchmarking to identify best practices from top-performing locations
Employee Experience & Workforce Well-Being
In hospitality, employee experience directly drives guest experience. Averisys connects staff engagement, motivation, burnout, and well-being data with guest satisfaction scores to show you exactly where investing in your team produces the highest return on guest loyalty and revenue.
Burnout-to-Revenue Mapping: Quantify how staff burnout in housekeeping, front desk, and F&B directly impacts guest satisfaction scores and repeat booking rates.
Retention Intelligence: Predict which properties and departments are at highest risk of turnover — and model the revenue impact of losing experienced staff.
- Direct linkage between employee well-being metrics and guest satisfaction scores
- Burnout-to-revenue mapping showing how staff turnover affects service quality and repeat bookings
- Department-level engagement tracking for front desk, housekeeping, F&B, and management
- Predict which properties are at risk of staffing crises before they impact guest experience
Sales Performance & Quitting Risk
Reservation, group, and corporate sales turnover quietly drains bookings and RevPAR. Averisys connects seller sentiment, motivation, and burnout with conversion 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 bookings, ramp costs, and account disruption.
Coaching ROI: Identify which enablement and coaching actions are most likely to lift sales performance and retain top sellers across every property.
- Sentiment-to-quitting prediction that identifies reservation and group sales reps at risk of leaving before resignations hit the pipeline
- Conversion analytics connecting seller engagement, coaching quality, and territory performance to RevPAR and group revenue
- Attrition cost modeling that quantifies the revenue impact of sales turnover — lost bookings, 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
Chargebacks, booking fraud, and loyalty abuse erode hospitality margins. Averisys analyzes guest and booking behavior to flag suspicious activity in real time — protecting legitimate revenue before losses are booked.
Behavioral Fraud Scoring: Detect chargeback, booking, and loyalty-redemption patterns at reservation and post-stay — and prioritize the highest-risk cases for review.
Friction-vs-Loss Optimization: Tune verification at booking and check-in to block fraud without driving legitimate guests away — and quantify the bottom-line impact of every policy change.
- Behavioral fraud scoring that flags suspicious bookings, payment events, and loyalty redemptions in real time — before losses are booked
- Chargeback and booking-fraud prediction models that quantify exposure, prioritize the highest-risk reservations, and recommend the next best action
- Friction-vs-loss optimization that tunes verification at booking and check-in to block fraud without driving legitimate guests 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 guest satisfaction scores, NPS trends, employee engagement, and occupancy rates over time — forecast seasonal demand shifts and get early warnings when service quality metrics or staff burnout levels cross critical thresholds.
Learn morePrediction - Recursive Feature Machine
Prediction
Predict guest churn, booking cancellations, employee turnover, and revenue per available room with models that clearly explain what's driving each outcome — from service quality gaps to staff burnout to pricing perception.
Learn moreRelationship - Neural Structural Equation Modeling (SEM)
Relationship
Discover connections between guest demographics, travel preferences, employee engagement, and satisfaction drivers — map how service touchpoints, staff well-being, pricing, and amenities interact to influence loyalty and revenue.
Learn moreGroup and Effect Analysis: Causal Forest
Segmentation
Compare performance across properties, guest segments, employee groups, and channels — instantly identify which differences in service delivery, staff engagement, and pricing strategy matter for revenue growth.
Learn moreTime-to-event - Random Survival Forests
Time-to-Event Analysis
Predict when guests are likely to rebook, churn, or upgrade their loyalty tier — and when employees are at risk of burnout or departure. Identify timing-based factors and simulate the impact of intervention programs.
Learn moreAdvanced Natural Language Processing (NLP)
Sentiment Analysis - NLP
Qualitative Analysis
Analyze guest reviews, employee feedback, survey comments, and social media mentions at scale — surface recurring themes about service quality, staff interactions, brand perception, and pricing fairness.
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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