Fides

A user perspective

We have developed Fides with a singular focus on hotel operations. Your team will easily adopt working with the system. Implementation is straighforward and the operational benefits become almost immediately clear.

Users gain insight in stock levels, requirement and erosion, usage patterns and laundry turnaround times. As a result, you will insight in how much linen you use, lose, need, or how many days of stock remain. Equally important, you will have predictive and timely information on when and how much to order at your linen supplier.

Fides provides full functionality, even if a hotel doesn’t own their textiles, e.g., in case of rental. Laundries and textile manufacturers can tag the articles with an RFID chip. However, Fides still performs in case the laundry or textile supplier does not tag all textiles. In that case, the system projects full stock data within a margin of error below 2%.

Fides integrates groundbreaking AI capabilities to make managing your textiles effortless. To illustrate, the system maps every report, identifies trends or deviations, and sends predictive, actionable notifications directly to your inbox.

These notifications explain the issue, suggest solutions, and provide supporting data. As a consequence, you don’t need to invest time learning a new system; Fides works for you, highlighting only what requires your attention.

A technical perspective

Our focus is on leveraging industry best practices to deliver superior performance and reliability. For this reason, we have built our platform on a solid, scalable architecture.

To illustrate, we have developed the front end with Angular 18, a top-tier framework supported by Google. We find it essential to ensure a seamless and highly interactive user experience.

Also, the backend is powered by .NET, a robust platform from Microsoft, and deployed on Azure. This is one of the world’s largest and most trusted public cloud providers. As a further example of our platform solidity, for data persistence, we use SQL Server on Azure. This guarantees high performance and security for managing information.

Additionally, we have developed a cross-platform mobile application using MAUI. This is a Microsoft development tool that enables us to reach a broad audience across iOS, Android, and other operating systems.

To handle intensive computations efficiently, we have integrated Python scripts running in Docker containers. Tech giants have widely adopted this solution, e.g., Uber and Spotify.

This hybrid architecture combines the agility and flexibility of web technologies with the power and scalability of cloud computing. It provides a robust foundation for the growth and evolution of our platform.