IoT applications for smart logistic systems: 
  1. Fleet Tracking 
  2. Shipment Monitoring 
  3. Remote Vehicle Diagnostics 

Logistics Fleet Tracking 

To track the locations of the vehicles in real-time, the vehicle fleet tracking system uses GPS, and to handle a large number of vehicles cloud-based fleet tracking system can be scaled. The vehicle locations and routers data can be aggregated and analyzed for detecting bottlenecks in the supply chain such as traffic congestions on routes, assignments, generation of alternative routes, and supply chain optimization. 

Logistics Shipment Monitoring 

Shipment monitoring solutions for transportation systems allow monitoring of the conditions inside containers. Eg. Containers carrying fresh food products can be monitored to prevent spoilage of food. IoT-based shipment monitoring systems use sensors such as temperature, pressure, and humidity. Similarly, monitor the conditions inside the containers and send the data to the cloud, where it can be analyzed to detect food spoilage. 

Logistics Remote Vehicle Diagnostics 

It can detect faults in vehicles. These diagnostic systems use onboard IoT devices for collecting data on vehicle operation such as speed, engine RPM, coolant temperature, fault code number, and status of various vehicle sub- systems. Modern commercial vehicles support onboard diagnostic (OBD) standards such as OBD-II. OBD systems provide real-time data on the status of vehicle sub-systems and diagnostic trouble codes which allow rapidly identifying the faults in the vehicle. IoT-based vehicle diagnostic systems can send the vehicle data to centralized servers or the cloud where it can be analyzed to generate alerts and suggest remedial actions.