A unique context-based operating system.
Build and manage your digital infrastructure & offer advanced location based services. Our operating system is fully customizable and completely modular.
We provide valuable insights by connecting infinite on & offline data sources in our operating system.
Favendo’s operating system is a unique, fully customizable, and modular context-based operating system. It connects and relates data generated by common sensor networks e.g. beacon-infrastructure or WLAN, with online data provided by external sources such as social networks or GPS, thus giving you the essential insight to raise overall benefits and efficiency. We enable you to operate your complete digital business with a single dashboard.
The favendo OS works with your existing data sources. If needed high quality encrypted bluloc beacons can be supplemented. Location-based services like Navigation, Asset Tracking or Proximity Marketing can easily be integrated in any existing mobile application. Of course we can provide you with a tailor-made state-of-the-art app.
Positioning & Navigation
Partner Network APIs
Working with the operating system
Build a sensor-based infrastructure.
Building a reliable and low maintenance beacon infrastructure starts with choosing the right partner. Favendo does not only offer high quality encrypted beacons made in Germany but also supports you on your way from the very beginning from planning to roll-out.
Once the bluloc beacons are installed we offer you the tools to keep total control of your infrastructure without even leaving your desk. Areas can be clustered, changed, activated or deactivated via remote control, without even having to touch the beacons. The revolutionary OTA-Update enables you to keep the firmware always up to date with the help of your dashboard.
Use and offer unique location-based services.
Be sure to offer your demanding customers the mobile services they are looking for. Favendo has them ready to use: sophisticated, high class location-based services that can easily be integrated into any existing app via SDK.
Once the Software Development Kit is integrated into your app the desired services can be activated by the touch of a button. From positioning to turn-by-turn-navigation to classic proximity marketing: Our technology enables e.g. the retailer to address the customer via Smartphone with individually tailored offers directly at the POI/POS.
Gather essential data and analyse it.
It is a favendo stand-out: with our OS we enable our customers to interrelate self-collected data from inside their own covered area with existing online-data.
This improvement reveals far more and deeper dimensions of data analysis than our competitors provide. It gives you a wider base for decision making and for finding and implementing the best marketing- and efficiency-strategies. An easy-to-adjust overview of the collected data and resulting analyses is displayed by our graphically formatted dashboard.
Optimize business- and marketing strategies.
The favendo OS is built to reveal customer needs and behavior. Via asset tracking it helps you to keep a complete overview about the whereabouts of subjects of interest.
- Base your decision-making about marketing strategies on the widest base of data available
- Favendos advanced efficiency algorithm helps you to optimize routes and adaption of tasks
- Utilize new channels for a direct customer approach in- & outside your infrastructure
- Address your customers with individually tailored offers directly at the POI/POS
- Offer visitors and customers useful services they are really looking for
Analytics case study Terrasse du Port, Marseille
Optimizing mall configuration to increase dwell times and sales.
Terrasse du Port Management wanted to better understand the visitor flows and dwell times in their shopping mall.
Using indoor location-based data acquired through the app we are able to track visitors movements inside the mall much like the accessible analytics in e-commerce.
Basic measurements include enter and exit events for zones as well as dwell times.
Working with the Terrasse du Port management, we determined that the majority of people behaved in two ways after leaving one of the big anchor stores:
a) Leave the mall, or
b) visit an adjacent restaurant
Conclusions and results:
It turned out, that space inside the restaurant was limited and regularly at maximum capacity during peak times. This led to customers leaving the mall, instead of resting at the restaurant and continue shopping afterwards.
Mall management took action in doubling the capacity of the restaurant.
Boost your business with favendo OS.
Our OS relates infinite on- and offline data sources thus taking you far beyond common location-based services. That´s why we call it the first context-based operating system.