Just like any other facilities services provider, Vebego is committed to achieving an agreed upon service level (SLA) to best serve their clients. One of their clients is NS, the Dutch railway corporation. Vebego takes control over the cleaning of trains on behalf of Vebego on a daily basis. Having clean trains is a basic hygienic need that makes or breaks convenience and experience for travellers.
At any time of the day trains may experience sudden delays, meaning that cleaning schedules need to be changed unexpectedly. In order to allocate cleaners most efficiently, Vebego staff members have to be as responsive as possible on those delays. Acting on changing data on such a short notice is, however, practically impossible for humans as any second counts. Therefore, train schedules were delivered two days in advance by NS to base cleaning schedules on. Because of this suboptimal resource allocation cleaners have to wait for a train to arrive in some cases. As a result, less trains are cleaned which negatively impacts travel experience, apart from the fact that cleaners are likely less productive and satisfied.
Before Yara was implemented, Vebego had to accept that delays would disturb cleaning schedules to a certain extent. This process looked similar to the following steps:
With help of Yara's real-time insights, Vebego is now able to allocate cleaners in a more optimal way. As no humans are involved in the process, Yara responds to delays in a blink of an eye without missing anything. This has enables Vebego to clean 4% more trains, boosting the satisfaction of travellers.