Long queues and wait times to visit the main points of interest and tourist attractions in Paris is one of the most relevant critical issues for tourists in the destination. Among the initiatives that aim to manage visitor flows and reduce the negative impact of overcrowding is the app developed by the French company Affluences. This system measures the occupancy indices of the most touristic locations and uses algorithms to make predictions about traveller arrivals to the selected points of interest.

The main sources of information and systems that the solution uses to measure the occupancy indices and wait times for museums and tourist attractions in real time are the following:

• Sensor systems and surveillance cameras to monitor and measure visitors entering and leaving points of interest.
• Historic data.
• Data obtained by geo-location from users of the app.

The app was developed in 2014 by Paul Bouzol, an engineer with a degree from TELECOM Lille. It was first used in Paris institutions like the Public Information Library and the University of Paris and has grown exponentially, reaching over 300 entities in Europe.

It is available on the iOS and Android operating systems and is constantly updating to improve its services and offer new functions. It has been downloaded over 100,000 times and is used by prestigious museums like the Louvre, the Pompidou Centre, the Grand Palais and even by beaches and other sites.