Project Details

Our client came to us with a major problem: on average, the classes that are fully booked only have a 32% attendance rate. This means that out of a 100 registered attendees, only 32 will actually attend the class. This is a major problem for our client as they are losing out on potential revenue and are unable to maximize their resources. Our client has asked us to come up with a solution that will help them increase their attendance rate to at least 70%.

Our solution:

Using the data our client provided us, we built a machine learning model that predicts wether a new registered attendee will in fact attend the class or not. If the registered attendee is predicted to miss the class, then the number of available spots left remains unchanged, leaving other attendees the possibility to register, eventually increasing the attendance rate.

How it benefitted our client

1: Our solution increased the attendance rate from 32% to 92%

2: Our solution was seamlessly integrated to their booking system

3: The performance of our solution garantees a zero risk of overbooking