GIRO secures multiple HASTUS upgrade contracts in Germany and Austria
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Posted: 25 November 2011 | GIRO | No comments yet
GIRO announced the signing of multiple contracts in 2011 for upgrades to existing HASTUS™ software installations…
GIRO is pleased to announce the signing of multiple contracts in 2011 for upgrades to existing HASTUS™ software installations in Germany and Austria. Last summer, Hamburger Hochbahn AG (HOCHBAHN) became the latest client to purchase a 2011 German-version HASTUS upgrade.
HASTUS is an advanced software solution that comprises a suite of integrated modules designed for optimized planning and management of public transportation. Thanks in large part to GIRO’s dynamic R&D program, HASTUS has established itself as the industry benchmark for more than 30 years. GIRO’s ongoing commitment to innovation ensures the company’s clients are able to deliver efficient, high-quality service to public transport customers. By regularly releasing a new HASTUS version, GIRO continues to expand its software offering with an impressive array of new features and enhancements that help the company and its clients maintain positions of leadership in their respective areas of business.
“For years, HASTUS has been the optimal software solution for us. HASTUS 2011 will open up additional possibilities enabling us to continue scheduling our complex operations effectively,” said Dr. Heinrich Böse, Director of Technical Bus Planning and Systems at Hamburger Hochbahn AG.
“We are very pleased with the number of confirmed purchases of the German-language version of HASTUS in 2011, as this contributes to the ongoing expansion of GIRO’s established international presence,” said Alain Martinais, GIRO’s Director of Marketing. “Software upgrades are an important affirmation of the quality of our software and the support services we provide. This is further evidenced through analyses conducted by clients such as Hamburger Hochbahn AG, which showed there were numerous reasons to continue trusting their transportation scheduling and optimization to HASTUS.”