How predictive analytics and computer vision improved parking demand visibility and rideshare flow.
Airport parking and kerbside environments face constant variability driven by passenger demand, flight schedules, peak arrivals, and rideshare movement. Without reliable visibility into utilisation and demand patterns, congestion builds quickly and opportunities for yield optimisation are lost.
BI3 brought together computer vision, live monitoring, and predictive analytics to improve visibility into parking occupancy, empty bay availability, and kerbside flow. This gave operations teams a stronger basis for planning, response, and future demand modelling.
The outcome was better control over congestion, improved use of available capacity, and stronger support for operational and commercial decision-making. The solution helped shift parking and pickup management from reactive oversight to more informed optimisation.