Indianapolis, Indiana – Zucchetti North America is proud to launch a next-generation revenue management system (RMS) to the North American market at HITEC Indianapolis: Lybra Assistant combinesreal-time demand data, advanced machine learning and a user-friendly interface to deliveractionable insights, automated rate recommendations and complete control over hotels’ revenue strategy.
Lybra Assistant is a leading RMS in Europe with more than 1600 hotels already using the system – all of which have experienced significant improvements in revenue and increases in operational efficiency; in fact, many clients experienced up to 17% RevPAR increases within 6 months of implementationand saved up to 1,000 hours of manual work per year – and now, Lybra Assistant RMS is available to North American hotels.
Lybra Assistant is ideal for all properties with more than 20 rooms, from independent hotels and branded groups, and those offering both leisure and business segments. The RMS simplifies revenue management by tracking real-time pick-up trends, monitoring competitor rates and receiving data-backed price recommendations for the next 365 days – all automatically updated across all online distribution channels.
Unlike traditional RMS which primarily use historical, competitor and market data to provide pricing recommendations, the Lybra Assistant algorithm also analyzes millions of flight searches (obtained from integrations with leading metasearch booking channels) and booking pace to anticipate future demand from key feeder markets before it materializes. This enables proactive engagement with potential guests in high-demand feeder markets before it becomes apparent to competitors – an important tool to remain profitable, even off-season or during times of weakened demand.
At Lybra, our focus has always been to leverage the power of Big Data and advanced AI to close the gap between raw data and accurate decision-making by delivering easy-to-understand, action-oriented, real-time business intelligence and forecasting tools that drive unmatched profitability. We have already successfully enabled hotels worldwide to improve their operational efficiency and dramatically increase their revenue and, through the launch of the RMS with Zucchetti North America, we are excited for the opportunity to help North American hotels experience similar results at their properties. Fulvio Giannetti, CEO at Lybra
The North American market is flooded with options when it comes to hotel operational solutions but it’s rare to be able to offer clients something truly innovative. The addition of Lybra Assistant – with its one-of-a-kind flight search module to predict future demand pressure – into the Zucchetti North America tech stack means that we can now offer everything that North American hoteliers need to effectively manage their online distribution, improve the guest booking experience and increase profitability. Mark Lewis-Brown, CEO & President of Zucchetti North America
To learn more about Lybra Assistant or the rest of the Zucchetti North America tech stack, please contact Jennifer Nagy at [email protected] or +1.786.420.1160. Alternatively, meet Zucchetti North America at HITEC Indianapolis from June 17-19 at Booth 2903 on the tradeshow floor to find out more or for a demo.
About Zucchetti North America
Zucchetti North America solves the problem of fragmented technology and siloed data by offering an integrated tech stack for hotels and lodging accommodations of all sizes and types, encompassing all the solutions necessary to effectively manage online distribution, improve the guest booking experience and increase profitability. Zucchetti North America’s tech stack includes Vertical Booking’s suite of reservations solutions; RMS by Lybra and Rateboard, PMS offered by Lodgical Solution; TCPOS POS and payment solutions; Zucchetti Digital Concierge meetings management solution; booking engine from Simple Booking; and other solutions from our extensive partner network. Find out more at www.ZucchettiNorthAmerica.com.
Jennifer Nagy
President JLNPR Inc.
