The passenger, user and customer support staff (PUCS) serve users when day-to-day events arise (e.g. modification of flight times), which generate uncertainties.

Aslogic manages uncertainty preventively, with Big Data techniques, Petri networks and hybrid metaheuristics, with benefits far superior to conventional reactive or corrective proposals, both for the level of service perceived by the passenger and for the cost-performance ratio of staff and the reduction of their stress level. We adapt our tool to the reality, objectives and strategy of each airport, to improve efficiency in the activity of PUCS personnel.

This way of managing uncertainty makes the airport improve in the efficient planning of the necessary personnel, thereby freeing PUCSs and improving the service to passengers.