The infsoft Indoor Guide helps you find the right solution for your application. Within your industry, select the application that best meets your requirements for an indoor localization system. Indoor navigation, indoor analytics, indoor tracking or geo-based services – the Indoor Guide shows you precisely which solution and which positioning technologies are suitable for your use case. If you have any questions, your industry does not appear in our selection or you would like to discuss your project with us, please get in touch using the form below.
An app with a digital map makes it easier for passengers to find their way around and allows them to navigate to specific destinations (e. g. track, shop, sanitary facilities).
Your solution: indoor navigation
Approach: client-based
Suitable positioning technologies: BLE beacons, Wi-Fi
Application example: Intermodal Routing
Movement profiles, occupancy rates, walking routes and behavior patterns are analyzed anonymously – the results are visualized in individual dashboards.

Your solution: indoor analytics
Approach: server-based
Suitable positioning technologies: BLE beacons, Wi-Fi, UWB
An app with a digital map facilitates orientation in complex hospital buildings and helps patients, visitors and staff navigate to specific destinations (e. g. patient rooms, cafeteria, sanitary facilities).
Your solution: indoor navigation
Approach: client-based
Suitable positioning technologies: BLE beacons, Wi-Fi
Application example: Indoor Navigation in a Clinic
An app with a digital map facilitates orientation in complex office buildings and enables navigation to specific rooms. Colleagues can share their locations with each other and thus better coordinate their work. The map data can also be integrated into a touch screen (terminal solution) on-site.

Your solution: indoor navigation
Approach: client-based
Suitable positioning technologies: BLE beacons, Wi-Fi
Applying machine learning tools to shopping centers enables a reliable forecast of the number of visitors and thus appropriate pricing of advertising spaces.

Your solution: machine learning
Application example: Machine Learning in Shopping Centers