Lybra AnnouncesTwo-Way Integration Between Its Assistant RMS & GP Dati’s Scrigno PMS

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Lybra AnnouncesTwo-Way Integration Between Its Assistant RMS & GP Dati’s Scrigno PMS

02/05/2021

Lybra, developer of the Assistant, a machine learning, demand-centric revenue management system (RMS), announced a two-way integration with GP Dati’s Scrigno PMS, a web-based, cloud suite of module-based hotel management solutions, designed to manage all the strategic areas of the hotel, including operational departments (front office, meeting, housekeeping, food & beverage, etc.) sales, revenue management, marketing and administration. Both companies are, at least in-part, owned by Italian-based software development company: Zucchetti Hospitality.

Because of the new, two-way integration, Scrigno PMS reservations data will be integrated into Lybra’s Assistant, enabling the RMS to seamlessly and automatically provide Scrigno PMS with the most accurate real-time room rates, as market conditions change. This integration makes it quicker and easier than ever for customers with both solutions to increase their bookings and revenue, eliminating manual data entry and pricing updates.

Unlike traditional RMS which rely primarily on historical data (in establishing room rates), Lybra’s Assistant RMS prioritizes market data, flight search data – which is a strong indicator of travel intent, and competitor data, enabling the RMS to accurately forecast the real-time travel demand that will be coming to a property’s destination, and offer the most accurate pricing recommendations possible, even during the ongoing pandemic.

Now, the partnership with GP Dati makes Lybra’s Assistant RMS even more powerful. In addition to the traditional PMS functionality, Scrigno PMS monitors hotel’s key performance metrics – including occupancy, RevPAR, bed night/room night, etc. – and sales trends, in order to identify a property’s necessary business improvement strategies. By pinpointing the places where a property can improve their operational performance using Scrigno and identifying actionable recommendations to improve revenue management challenges through the Assistant RMS, hotels now have all of the information that they need to make significant improvements to their hotel sales, revenue and operations – with pricing and reservations data moving automatically between the two systems to make hotels’ operational processes completely hands-free.

“In today’s travel market, where (almost) all markets are experiencing unprecedented, depressed demand due to the ongoing pandemic, hoteliers need to update their revenue management strategy; real-time, hotel forecasting data is the key to success in today’s uncertain market,” said Fulvio Giannetti, CEO & Head of Data Science at Lybra. “Effective forecasting of future hotel demand – and then setting hotel room rates based upon that data, is the best way for hotels to price their room competitively, and capture the most hotel bookings possible, out of the limited number coming to their destination. Lybra’s Assistant is the only RMS on the market that offers next-generation forecasting capabilities and, in combination with the two-way integration with a property’s Scrigno PMS, hotels now have the opportunity to act more quickly and proactively, before their competition does, and become more profitable, no matter how the pandemic affects demand.”

“The combination of these two solutions is a powerful one for hotels worldwide,” said Giuseppe Pellegrini, CEO at GP Dati. “Due to the ongoing effects of the pandemic, many hotels are re-opening their doors with less staff, who are still required to execute their jobs at peak performance; to improve operations and meet – or exceed – guests’ expectations with less staff, integration between internal systems is key to increase efficiency and minimize manual intervention. Of course, two of the biggest and most time-consuming parts of running a hotel is revenue management and reservations management, so this integration makes it possible to make a property’s processes more efficient and execution of daily operations quicker, giving hotel staff more time to spend on non-automated tasks, like providing each-and-every guest with the best possible travel experience.