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New Forecasting Features Enhance Revenue Management Application

NEW YORK – Nov. 10, 2016 – Infor, a leading provider of beautiful business applications specialized by industry and built for the cloud, today announced the launch of an enhanced, integrated adaptive learning and forecasting engine for Infor EzRMS. The engine introduces several new forecasting algorithms, including dynamic trend modelling, combined with latest machine learning techniques, that help to provide improved forecasts and optimizations to the hospitality industry.

When the algorithms are applied, Infor EzRMS will recalculate a full new forecast and as the models begin to pick up and learn business trends, users will start to see the forecast adapt more quickly to unexpected changes in the market and respond accordingly.

“The hotel booking landscape is constantly evolving and in order stay on top, hotels need to have the proper back office systems in place for everything from reservations to revenue management,” said Stan Van Roij, general manager, Infor Hospitality. “Infor Hospitality is continuing to put substantial investments in growth and development to better enable our customers to operate at their highest performance. The new forecasting algorithms and improved user interface in Infor EzRMS help to take the stress away from our customers so they are able to focus on the needs of their guests.”

In addition to the updated engine, Infor EzRMS also has an enhanced user interface that enables users to easily access business critical information such as best revenue opportunities, single and multi-property reports, application wide search, navigation history, data export options, and direct access to key filters in reports for key metrics and time ranges.

For more information about Infor’s Hospitality applications, please visit

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About Infor

Infor builds business software for specific industries in the cloud. With 15,000 employees and over 90,000 customers in more than 200 countries and territories, Infor software is designed for progress.  To learn more, please visit

Contact: Dan Barnhardt / +1 646 336 1731

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