AI-Powered Solution for Self-Service Check-In System
Our Client is a group of luxury villas on the Greek islands in the Mediterranean Sea region. They requested an AI-powered technological solution to automate check-in and improve the guest experience.
Client location
Greece
Industry
Hospitality and travel
Duration
5 months
Team
6 members
Challenge
Given that our Client has villas on several islands in the Aegean Sea, the check-in process is often challenging for both guests and administrative staff during the regular check-in hours between 14:00 and 16:00. This becomes tangible especially during the high summer season, when many guests arrive at different islands simultaneously. The guests frequently had to wait until 18:00 or even longer to check in since personnel had to travel from one island to another, which obviously needed some time and highly depended on the weather conditions.
Another difficulty concerned a language-related barrier between hospitality organization staff and visitors when filling in registration forms and communicating. Not all guests speak English or other international languages, which can be an obstacle to having unforgettable vacation experiences. Therefore, our Client has decided to implement a tech system that would allow guests to carry out self-check-in at any time and in their preferred language.
Solution
In close collaboration with our Client, Four Ages specialists have designed a comprehensive solution for independent guest check-in. It combined an intuitive user interface, multi-language support, camera module connection, and AI-driven features.
Our engineers applied AI and ML algorithms to extract information from images in real time. These technologies enabled the automatic matching of ID and facial photos, providing instant results on the identity confirmation outcome.
The encryption algorithms were used to securely handle guests' personal information. Therefore, sensitive data processing and storage are aligned with the GDPR regulations for all biometric and document records.
The backend was designed to ensure communication between the hotel CRM and the check-in platform via APIs. Our team utilized Node.js and Nest.js for the back-end infrastructure. We built a robust background capable of handling large amounts of unstructured data, such as high-resolution ID images and facial photos, and processing them efficiently.
The Docker container architecture served as the basis for this digital system, enabling a smooth rollout and scaling.
The visual appearance of the website was also designed and developed by Four Ages. Our engineers primarily used React.js for most of the front-end tasks.
Impact
The digital platform implementation for check-in significantly facilitated the guest check-in process. Once the registration procedure is complete, data is added to the Client’s internal system. This enables administrators to focus on guest support and concierge tasks.
The survey has shown a 25% increase in visitor satisfaction rate and better ratings on review platforms, such as Booking.com. This has also contributed to higher reservation rates both for high and low seasons.
Responsibilities
Cloud architecture
Design the architecture of microservices
Frontend development
Backend development
AI research and development
Technologies
Author:
Maria Roy
