How Swissotel Unified Guest Feedback Across Every Property
A guest experience management platform that pulls together survey responses, social media reviews, demographic data,...
Swissotel is a premium hotel brand built on a reputation for precision and service quality. With properties across Asia, Europe, the Middle East, and the Americas, understanding what guests think — and acting on that feedback before it shows up as a public review — is central to how the brand operates. The problem was that feedback was arriving from a dozen different places with no way to see it all together.
Swissotel’s guest feedback was spread across surveys, review platforms, and social media channels, making it difficult for teams to understand overall sentiment or respond quickly.
Aleait built a centralized Guest Experience and Customer Satisfaction platform that brings all feedback into one system. The platform connects external review sources through the Revinate API, applies sentiment analysis, and organizes feedback around key areas like service, cleanliness, food, and value.
Teams can now respond to guests directly, compare performance across properties, and understand feedback at both a hotel and demographic level — all in one place.
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All guest feedback from surveys, social media, and review platforms is brought into a single dashboard for a complete view of sentiment.
Connected TripAdvisor, Booking.com, Facebook, and Ctrip through Revinate to centralize external reviews in real time.
Every review is categorized into themes like service, cleanliness, food, and pricing, helping teams quickly understand what drives guest satisfaction.
Feedback is broken down by guest type, including age group, travel purpose, country, and return visits.
Guest reviews in different languages are translated directly inside the platform so teams can read and respond without switching tools.
Separate tracking for restaurants, bars, and spa experiences gives F&B and service teams their own performance view.
Reviews and survey responses were coming from different platforms with no unified structure, making it difficult to understand overall guest sentiment.
We built a unified ingestion layer using the Revinate API and internal survey systems so all feedback flows into a single structured dataset.
Teams were spending too much time reading reviews instead of acting on insights.
We introduced sentiment analysis and topic tagging to automatically surface key themes and highlight problem areas in real time.
Corporate teams wanted to respond to guests but had no system to manage replies efficiently.
We added a response module that includes full guest context and demographics, allowing teams to respond directly within the platform.
Restaurants, bars, and spa feedback were not tracked separately, making it hard to evaluate individual service areas.
We built an outlet-level feedback system so each department could track and improve its own performance independently.
Guest reviews in multiple languages were difficult for local teams to process quickly.
We implemented inline translation directly inside the review system so every team could understand feedback instantly.
These points show how Swissotel moved from fragmented feedback to a unified guest experience system.
4+ external platforms integrated through Revinate, bringing all guest feedback into one place.
Full demographic breakdown across guest types, travel patterns, and return behavior.
Every new review is analyzed instantly, helping teams respond without delay.
A structured build approach from data integration to rollout across guest experience teams.
We started by mapping Revinate’s API structure and building a reliable ingestion system with proper handling for rate limits and data consistency.
A topic-based sentiment engine was built to go beyond positive or negative scoring and identify specific operational issues like pricing, service delays, or room quality.
Translation was built directly into the system so teams could work with guest feedback in any language without external tools.
The platform was deployed across properties in phases, allowing teams to adapt gradually while feedback loops helped refine usability.
We selected tools that ensure smooth processing of large volumes of guest feedback across multiple channels and languages.
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