Press Release

PROS Scientist Selected to Deliver Presentation at INFORMS Revenue Management and Pricing Conference

HOUSTON, June 20, 2018 – PROS (NYSE: PRO), a cloud software company powering the shift to modern commerce, today announced that Darius Walczak, Ph.D., will deliver an address at the 2018 INFORMS Revenue Management and Pricing Conference. Walczak serves as a senior director on the company’s Science and Research Team.

His presentation – titled “Dynamic Programming Decomposition Approaches to the Network Revenue Management and Pricing Problems” – was developed in a research collaboration with PROS scientists Ravi Kumar, Ph.D., and Wei Wang, Ph.D. Walczak will present alternatives for solving network revenue management challenges based on product-based decomposition. He will show novel solution approaches tested against resource-based decomposition models that are extensively deployed in the airline and hotel industries. Walczak will demonstrate how properly accounting for the trade-off between point-to-point and connecting passengers for airlines, and short vs. long stays for hotels, is crucial for generating improved revenues for these companies.

“Organizations in the travel industry are looking for artificial intelligence, machine learning and science that supports the extraordinary pace of change they’re experiencing in the digital era,” said PROS Senior Director of Science Royce Kallesen. “For decades, airlines across the globe have looked to PROS for solving their most sophisticated challenges. We are honored to have Darius Walczak represent our company at this prestigious industry event.”

The annual INFORMS RMP conference is the premier forum for academics and practitioners in the fields of pricing analytics and revenue management. This year’s conference, scheduled for June 19-22, will be held in Toronto at the Scotiabank Conference Center.

About PROS
PROS Holdings, Inc. (NYSE: PRO) is a cloud software company powering the shift to modern commerce by helping companies create personalized and frictionless buying experiences for their customers. Fueled by dynamic pricing science and machine learning, PROS solutions make it possible for companies to price, configure and sell their products and services in an omnichannel environment with speed, precision and consistency. Our customers, who are leaders in their markets, benefit from decades of data science expertise infused into our industry solutions. To learn more, visit pros.com.

Forward-looking Statements
This press release contains forward-looking statements, including statements about the functionality and benefits of revenue, profit realization and modern commerce software to organizations generally as well as the functionality and benefits of PROS software products. The forward-looking statements contained in this press release are based upon PROS historical experience with revenue, profit realization and modern commerce software and its current expectations of the benefits of revenue, profit realization and modern commerce software for organizations that implement and utilize such software. Factors that could cause actual results to differ materially from those described herein include the addressability of an organization’s revenue, profit realization and modern commerce software needs, the risks associated with PROS developing and enhancing products with the functionality necessary to deliver the stated results and the risks associated with the complex implementation and maintenance of revenue, profit realization and modern commerce software such as PROS software products. Additional information relating to the uncertainty affecting the PROS business is contained in PROS filings with the Securities and Exchange Commission. These forward-looking statements represent PROS expectations as of the date of this press release. Subsequent events may cause these expectations to change, and PROS disclaims any obligations to update or alter these forward-looking statements in the future whether as a result of new information, future events or otherwise.

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