Visit Confirmation

adwhere platform

RETAIL VISIT CONFIRMATION

  • The Visit Confirmation application uses the sensewhere SDK for indoor positioning.
  • The application has a map interface showing the indoor map of the mall.
  • All retail stores in the mall are set up with geofences. Kiosks in the food court are all associated with a single geofence for the food court.
  • The geofences are created using map geometry from Micello. Each geofence is populated with store name (POI) and details from the Micello Context API.
  • The system has tuneable logic that compares determined mobile position with each store’s geofence to detect visits. The tuning parameters allow adjustment for uncertainty and desired dwell time of a visit.

Operation:

  • The platform shows a map of a mall. It monitors device position to determine when a store is visited. It requires a specified level of positioning accuracy and duration to qualify as an actual store visit.
  • When a store visit is detected, a notification recorded and can be displayed on the map image showing which store the visit was in.
  • The visit notification includes the name of the store and the total number of times that the store has been visited during the current session (in brackets).

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Positioning:

  • In most shopping malls, Wi-Fi signals are abundant while BLE beacons are deployed in some areas and with varying density.
  • The sensewhere positioning system uses Wi-Fi signals and when available, BLE beacon signals for absolute position determination indoors.
  • sensewhere Android positioning uses both Wi-Fi signals and BLE beacon signals for indoor absolute positioning.
  • sensewhere iOS positioning is dependent on BLE beacons for indoor absolute positioning, so positioning accuracy has greater variation depending on BLE beacon availability.
  • GPS signals are used when available for positioning and for calibrating the location of Wi-Fi and BLE beacon transmitters.
  • Motion sensors are used for relative positioning and for detecting motion.
  • The result is a continuous estimate of position that is used for detecting retail store visits.

Performance:

  • Number of visits detected in each store within the mall are counted by device ID.
  • Detected visit counts are available in the mobile application, via sensewhere web dashboard, and via server API calls.
  • Reported store visits correct >95% of the time.

Integration:

  • sensewhere SDK for mobile application.
  • sensewhere web dashboard for viewing analytics including visit confirmation counts.
  • Server API for programmatic access to analytics data.