Flowme can provide vital information on the different tourism charge capacity for the sightseeing places, delivering reports that evaluate the best schedule and patterns that facilitate on giving a better service at any given hour.
Shopping facilities now have great care for their facilities analysis. As this includes studying their clients’ dwell times, coupled with location analysis and external factors, FlowMe can deploy sensors on-site, to understand how these behaviours happen, and assist our clients on improving their facilities’ performance.
FlowMe can provide live feed information regarding the current capacity for an event. This includes social analysis, users count and even providing a portal with all the handy tools and information for the event users.
FlowMe can install specific hardware to monitor a specific region in terms of users and flows. This includes an online analysis, focusing on the company’s target data, or even the development of new sensors to acquire data and further combine different sources to provide accurate results.
We use our expertise to extend your brand.
Development of dynamic mobile applications for Android and iOS, that allow augmented interaction through ground breaking technologies and experiences.
Creation of dynamic landing pages for products, or full responsive websites with administration pannels to control the contents displayed.
We create smart dashboards with graphical visualizations and real-time analysis to provide insights and extract knowledge of the systems that run your business.
Through Passive Wi-Fi monitoring of the smartphones carried by passerbys, we can provide anonymized analytics about site load, footfall, events and gatherings that can be used by marketing.
We aim to provide customers with processed information to commercial platforms, touristic locations or accommodation about the customers and the physical environment around them. This includes people tracking via passive Wi-Fi, captive portal, social networks, weather, events and happenings around, but also public transport affluence (buses, trains, ships, boats). We process these different data sources by applying machine learning and big data techniques to reveal how these parameters can influence each other, showing the results on a dashboard with data analysing tools.
Our product innovates not only in the gathering of different data sources, but also in the method of tracking people unobtrusively in a passive way via Wi-Fi analysis. By sensing the Wi-Fi probes (sent when Wi-Fi devices are looking for nearby networks), we acquire an identifier which is anonymized and provides information about the same devices over different locations, where other methods do not enable.