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Revenue management

Whether you have a large international hotel company or are an independent hotelier, you’ll get an affordable, fully automated revenue management solution (RMS) with Infor EzRMS, developed using the latest business forecasting and optimization technologies.

What it does ?

In addition to automatically calculating demand forecasts for each future use of your hotel rooms, Infor EzRMS recommends appropriate selling strategies such as open/close rates, stay controls, open/close room categories, and overbooking levels—maximizing your yield and profit.

Historically, most revenue optimization algorithms have simply managed room price. But EzRMS also considers ancillary spending that takes place in spas and restaurants, on the golf course, and in other extra- revenue areas.


Features

  • Database loading and consolidation—Forms an integral part of the modeling and forecasting functionality in EzRMS, and allows for highly detailed analysis of transactional data through a multitude of reporting options.
  • Demand modeling—Automatically analyzes and evaluates all property management system (PMS) and user data, and uses unique algorithms to create property-specific unconstrained demand models.
  • Demand forecasting—Provides up-to-date constrained as well as unconstrained forecasts of room nights, total revenue, cancellations, no-shows, arrivals, departures, and much more.
  • Optimization—Solves your revenue-optimization problem with a state-of-the-art and proprietary set of innovative algorithms that optimally balance demand and supply, resulting in a set of controls and recommendations.
  • Controls and recommendations—Automatically translates recommendations into controls for all interfaced and non-interfaced systems in order to ensure seamless optimization of all distribution channels.

Benefits

  • With Infor EzRMS, you can:
  • Maximize occupancy and protect rates when necessary.
  • Increase revenue by a typical 4% to 7% from year one with little outlay.
  • Create accurate historical, current, and future statistical reports.
  • Provide detailed demand forecasting information.
  • React to market influences with the help of competitor analysis on both the Internet and the global distribution system.