They tell you once they've left
Many guests say nothing at the desk and write the review at home — when the room can no longer be fixed.
Guests and passengers tell you on WhatsApp, in the room, at the gate and on every review site — in any of 50+ languages. One AI engine built for hospitality and travel codes it all, ranks what matters and gets the right team acting before check-out.
Great — but the Wi-Fi kept dropping.
Wi-Fi reliability · negativeDas Frühstück war ausgezeichnet.
“Breakfast was excellent.”
Breakfast · positiveTardamos 40 minutos en hacer el check-in.
“Check-in took us 40 minutes.”
Check-in wait · negativeOda tertemizdi.
“The room was spotless.”
Room cleanliness · positiveMany guests say nothing at the desk and write the review at home — when the room can no longer be fixed.
Google, travel review sites and booking sites each hold part of the picture, and unanswered reviews pile up per property.
Comments arrive in many languages, and the ones your team can't read are the ones that slip through.
Each touchpoint feeds the same platform, on the channel that fits the moment.
Every stop is scored on the same scale and tagged with the same topics — by property, route, department and language.
“Boarding was quick and the crew were lovely, but my bag didn't arrive in Lisbon and nobody told me where to go.”
Topic models built for your industry, no training period. From the first comment, Cloud4Feed tells a slow check-in from a slow bag drop — and reads it in the language it was written in, across 50+ languages.
How every comment is codedWhile the guest is still here
A short WhatsApp conversation during the stay surfaces the problem before check-out.
In the room, at the gate, after the trip
QR surveys in rooms, restaurants and lounges, and post-stay or post-flight surveys on any channel — including an AI voice call.
Every review site, one inbox
Google, travel review site and booking-site reviews in one place, with one Reputation Score per property.
Every language, one topic model
Answers, chats, calls and reviews in 50+ languages coded into the same hospitality and travel topics.
Know who's talking
Personas such as The Business Traveler or Accessible Flight Seeker show which guests drive each topic.
Every rebooking call scored
Keep your phone system; every contact-centre call is transcribed and linked to the passenger's other feedback.
Ask why, in plain words
“Why did NPS drop at City Centre Hotel this month?” — answered with sources.
Fix first, by property and route
A Priority Matrix by property, route and department shows which issue moves NPS most — and what fixing it is worth.
Fixed before check-out
A critical comment alerts the duty manager and opens a case with an SLA while the guest is still in-house.
Reply to every review — with approval
AI drafts the reply in your brand voice; your team approves it before it's posted.
by property, department and stay type
by route, cabin and touchpoint
per property and versus rivals
across every review site
complaints closed before check-out
100+ companies · 15+ industries · 45 countries
Read customer storiesWhat should we fix first — and what is it worth?
FOR MARKETING TEAMSHow is our brand perceived — and versus competitors?
FOR SERVICE TEAMSWhich calls are going wrong — and why?
SOLUTION AREATrack every touchpoint, cut churn drivers and close the loop with each detractor.