Yield Management & Dynamic Pricing

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.

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Dynamic Pricing

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.

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Dynamic Occupancy

Your 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.

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Real-Time Reporting

Our 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.

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Atlas Hotels

Featured Case Study

Atlas Hotels

Back in 2016 following the launch of our Marketing & Reservations solution at the Holiday Inn Portsmouth North, during the first few weeks Atlas Hotels acquired 653 bookings through the exposure on our platform, generating £7,500 in incremental revenue.

Following the success of the Portsmounth North location, our solution was rolled out across Atlas Hotels' portfolio, starting with the Holiday Inn Express Greenwich and Hampton by Hilton Liverpool City Centre, and is now live at Birmingham NEC, Manchester Salford Quays, Lincoln Central, Exeter and Bath.

A high 6-figure sum is now generated annually for Atlas Hotels from parking spaces that were previously vacant and non-revenue generating. 

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