Hotel AI Assistant
Revolutionizing guest services

An AI-powered multilingual communication platform enhancing guest experiences and streamlining hotel operations

Project Details

Client: Elegance Hotels Group

Category: Web Application

Technologies: ReactJS AWS Lambda Amazon Bedrock Amazon Comprehend Amazon Translate

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Project Overview

The client, a boutique hotel group with properties in several European countries, faced significant challenges in providing consistent guest communication across multiple languages. With international visitors expecting immediate responses at all hours, their manual approach to guest inquiries was causing delays, missed requests, and negative reviews. In partnership with DCA, we created Hotel AI Assistant which contains two apps: a web application for management and a PWA for guest interaction on mobile devices. The Hotel AI Assistant was developed to overcome these communication barriers while improving operational efficiency.

The Challenge

Language barriers

With guests from over 30 countries, the hotel staff struggled to provide timely, accurate communications in multiple languages.

24/7 support demands

Guests expected immediate responses at all hours, but staffing limitations made this financially impractical.

Request tracking

Management had no central system to track guest requests, leading to missed follow-ups and incomplete service recovery.

The Solution

Multilingual AI assistant

We developed an advanced communication platform utilizing Amazon Comprehend and Amazon Translate to deliver seamless guest interactions in over 50 languages.

  • Natural language processing to understand guest inquiries
  • Automated translation for both incoming and outgoing messages
  • Contextual awareness to maintain conversation history

Management dashboard

A comprehensive dashboard gives hotel management real-time insights into guest communications, service requests, and resolution times.

  • Visual analytics of guest satisfaction metrics
  • Request categorization and priority flagging
  • Performance metrics by department and staff member

Design Process

From concept to interface

The design process centered on creating two distinct experiences: a conversational interface for guests and a comprehensive management dashboard for hotel staff.

1

User research

Conducted interviews with hotel guests, front desk staff, and management

2

Wireframing

Created separate wireflow models for guest and staff experiences

3

UI Design

Developed high-fidelity mockups aligned with hotel branding

4

Prototyping

Built conversational flow prototypes to test natural language understanding

Guest Homepage

Guest Archive

Guest Transcript

Design System Benefits:

  • Brand-aligned interface elements custom-tailored for each hotel property
  • Conversation design patterns for natural dialogue flows
  • Intuitive dashboard visualizations for at-a-glance insights
  • Mobile-first approach for guests using their own devices

Technical Highlights

Natural language processing

The system can understand guest intent across multiple languages with high accuracy.

  • Amazon Comprehend for intent classification
  • Custom machine learning models for hospitality-specific terminology
  • Sentiment analysis to detect guest satisfaction levels

Architecture

AWS services to create a clean separation of concerns.

  • Amazon Bedrock for conversational AI capabilities
  • AWS Lambda for serverless processing of requests
  • Amazon Translate for real-time language translation
  • Amazon Pinpoint for personalized guest messaging

Results & Impact

89%

Guest inquiry resolution without human intervention

42%

Increase in guest satisfaction scores

28%

Reduction in front desk operational costs

The Hotel AI Assistant has transformed how we connect with our international guests. We're now able to provide instant, accurate responses in any language, at any time of day. Our staff can focus on delivering exceptional in-person experiences while the AI handles routine inquiries. The insights from the management dashboard have also helped us identify and address service gaps we weren't even aware of.

Elena Vasquez
Operations Director, Elegance Hotels Group

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