Maximise the profitability of your parking assets by tailoring tariffs and availability to drive the maximum revenue from your parking bays.
Clients across the commercial property, retail and parking sectors are benefiting from our yield management and dynamic pricing algorithms.
By analysing the level of demand and optimising parking tariffs accordingly, we've helped clients boost car park revenue by up to 25%.
Historic demand in the area, the time of day, the time of the week, upcoming events, and the type of customer (drive-up vs online) all taken into consideration, our algorithm ensures that your car park tariffs are set to maximise revenue.
Get in touchYour number of drive-up customers varies consistently depending on the time of day, week, month and year.
Our dynamic occupancy algorithm uses historical data, recent trends and upcoming event data to predict the level of occupancy, allowing you to distribute the predicted vacant bays across online channels and generate revenue for bays that would have otherwise gone unused.
Get in touchOur smart dashboard provides you access to real-time reporting regarding what is happening in your car park right now.
Occupancy, revenue and driver behaviour data can be accessed anytime at the click of a button.
Get in touch
Back in 2016 we began by launching our Marketing & Reservations solution at a single Atlas Hotels site, Holiday Inn Portsmouth North. During the first few weeks Atlas Hotels acquired 653 bookings through the exposure on our platform, generating over £7,500 in incremental profit.
Following the success of the Portsmounth North location, our solution was rolled out across all 30+ hotels with parking within Atlas Hotels' portfolio, including Holiday Inn Express Greenwich and Hampton by Hilton Liverpool City Centre.
Over 19,000 bookings have been taken for parking spaces that were previously underutilised, driving increased use of the hotel facilities alongside a high 6-figure sum in incremental profit generated annually for Atlas Hotels.
View Case Study
Thank you for getting in touch. A member of our team will be in touch with you as soon as possible
