How Swissotel Unified Guest Feedback Across Every Property

A guest experience management platform that pulls together survey responses, social media reviews, demographic data, and sentiment analysis — so hotel and corporate teams know what guests are actually saying, and why it matters.
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    Team Size

    4 engineers, 1 PM, 1 data analyst
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    Industry

    Hospitality
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    Duration

    7 months
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About the client

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.

Project Overview

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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Industry

Global Hospitality

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Services

QA Platform Development, Inspection Automation, Compliance Analytics, Reporting Automation

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Business Type

Enterprise Hospitality Operations

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Consult Our Experts

Improve operational quality with automated audits, real-time compliance monitoring, and performance benchmarking across hotel networks.

What We Built (Key Capabilities)

Challenges & Solutions

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.

1

Manual analysis made it impossible to track patterns

Challenge :

Teams were spending too much time reading reviews instead of acting on insights.

Solution :

We introduced sentiment analysis and topic tagging to automatically surface key themes and highlight problem areas in real time.

2

No structured way to respond to guest feedback at scale

Challenge :

Corporate teams wanted to respond to guests but had no system to manage replies efficiently.

Solution :

We added a response module that includes full guest context and demographics, allowing teams to respond directly within the platform.

3

Outlet performance was hidden inside overall scores

Challenge :

Restaurants, bars, and spa feedback were not tracked separately, making it hard to evaluate individual service areas.

Solution :

We built an outlet-level feedback system so each department could track and improve its own performance independently.

4

Language barriers slowed down response time

Challenge :

Guest reviews in multiple languages were difficult for local teams to process quickly.

Solution :

We implemented inline translation directly inside the review system so every team could understand feedback instantly.

Outcomes & Impact

These points show how Swissotel moved from fragmented feedback to a unified guest experience system.

01

Connected guest feedback ecosystem

4+ external platforms integrated through Revinate, bringing all guest feedback into one place.

02

Complete guest segmentation visibility

Full demographic breakdown across guest types, travel patterns, and return behavior.

03

Real-time sentiment tracking

Every new review is analyzed instantly, helping teams respond without delay.

How Aleait made it happen

A structured build approach from data integration to rollout across guest experience teams.

01

API-First Integration

We started by mapping Revinate’s API structure and building a reliable ingestion system with proper handling for rate limits and data consistency.

02

Sentiment System Design

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.

03

Multilingual Experience Design

Translation was built directly into the system so teams could work with guest feedback in any language without external tools.

04

Rollout Across Properties

The platform was deployed across properties in phases, allowing teams to adapt gradually while feedback loops helped refine usability.

The technology behind the platform

We selected tools that ensure smooth processing of large volumes of guest feedback across multiple channels and languages.

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