OPEN-AIR RETAIL is a vastly different beast from enclosed shopping centers and malls.
They key difference is that openair retail is typically situated on busy pedestrian streets, especially in CBD zones.
While shopping centres often house food courts, movies theaters and children’s play areas to attract greater crowds, open air retail strips do not have these as designated areas.
While they may be nearby, they are not enclosed in the same building under the same roof.
While people who enter shopping centers almost always shop at several stores, open air malls are often used as access ways by pedestrians moving between surrounding areas such as train or subway station or their workplace.
The fundamental layout is different too.
Shops are typically in a row by the sidewalk in open air retail.
There usually are no retail kiosks (or RMU’s/retail merchandising units) in the middle of thoroughfares.
These differences present a series of challenges when it comes to holding customers extended patronage in the area.
The same is true for any valuable presence data collection.
While these challenges are tangible, they are not surmountable.
Foresense Technologies is making its mark around the world on shopping centre data collection with a purpose built platform for Shopping Centre Managers and Asset Directors.
Now, open-air retail stand to reap the same benefits, taking near vicinity behavioural data into the future.
Foresense facilitates the collection of presence data and the analysis of how people act – and interact – on-site in real world settings to provide real-time analytics of traffic inside and around any physical location.
At its core, the Foresense platform utilises proprietary AI to identify areas for improvement and guide commercially based decisions to increase operational KPIs and efficiencies with highly detailed, quantifiable behavioural data.
Foresense introduces an all- encompassing solution to monitor individual patrons in real-time and discover overarching trends.
In a similar way to how behavioural data is utilised online through careful analysis of aspects such as site navigation, page dwell time, session duration, and unique and return visitations Foresense collects data through an array of sensors that integrate with visitor smartphones.
With this approach, user privacy concerns are not an issue.