Security Predictive Analytics
Anticipate, prepare, and react to theft and security breaches before they even occur

Various Data Points

The breadth and quality of data is key to predicting when and where

Sensor IoT Data

Geolocation

Temperature

Light

CO2

Proximity Grid

Accelerometer

Open/Close

STM Data

Ledger of all actions including geolocation, user, cargo id, and security asset.

Actions include filtering, status changes, seal health, cargo health.

External Data

Red Flag STM can integrate to external cloud and on-premise enterprise system with SOAP and REST api.

Common integration of Red Flag STM include ERP, Fleet Management, and Transportation Management (TMS)

External data points {Outside temperature, Sunrise,/Sunset times, Geolocation population/density, Crime index of geolocation}

Machine Learning

Geofencing

Geofencing Predictive Analytics identifies anomalies and theft in high risk predictive geo locations before they happen. Geofencing also identifies deviations from planned routes and actual routes. Geofencing triggers notifications to security officers and forces security assets such as BRX to go into high-alert lock-out mode.