Aspaara Algorithmic Solutions AG Develops Algorithm for the Swiss Federal Railways (SBB)!
Swiss Federal Railways (SBB) want to start of a new era: An algorithm shall optimize their train schedules. The aim: satisfied travellers and an optimally utilized rail network. SBB has launched an international competition for fostering their internal developments. About 400 international IT-Expert teams participated. Swiss entrepreneurs achieved the second place with their startup Aspaara Algorithmic Solutions AG.
Aspaara makes accurate demand forecasts by utilising a variety of data sources. Matching supply with demand becomes an easy job for aircraft ground handling companies.
Better understanding of users, markets and exposure to financial risks. Aspaara uncovers hidden potential in complex online and offline environments.
Staffing is a rather complex business because of a variety of constraints. Aspaara's matching engine satisfies customized scheduling criteria while adapting to your very specific situations.
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«Only 4% of all flights are in time, all others are either too early or too late – mixing up our static planning entirely. Aspaara makes accurate demand forecasts utilizing a variety of data sources. Matching supply with demand became an easy job.»
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