How Artificial Intelligence is transforming logistics sector
The Logistics sector has always been one of the foremost growing sectors and a laggard within the adoption of technology. But the advent of the latest technologies like IoT, Artificial Intelligence (AI), and Machine Learning (ML) have set this sector on a path, which is soon going to not just transform the sector but also will give rise to a whole new breed of paradigms. Now, because the demand for logistics companies is growing, the driver’s safety has become a primary concern.
With apps like fleet management system ( FMS), it is possible to observe driver’s behavior in real-time and make a training plan which can also solve the issue of employee’s long driving hours and breaks between drives with fully automated fleets. The availability of sensors and Bluetooth wireless technologies within the trucks have made it easier to feature trucks to the present burgeoning online network of supply chain data, providing last-mile visibility that was previously unattainable.
Logistics companies are using GPS systems and AI to track the location of their trucks, they can now set up geofences to enable alerts when a truck is nearing its destination, danger, optimize routes using real-time traffic data, improve vehicle utilization, and automatically track driver hours and fuel tax reporting information. A user-generated input via smartphones is sent onto the drivers which helps them to know the route around construction or congested areas. So that they will avoid these routes and take an alternate route.
ML is additionally helping the logistics companies to urge minute by minute details of the trucks. So that immediate action are often taken at the time of any mishappening. Every driver has an app that automatically clocks them in once they get into a truck and keeps track of their hours, keep the track once they reach to the warehouse or to the charging hub.
Firms have started using this technology for Fuel optimisation, Operational Planning & allocation supported Geospatial & status data, dynamic route management and control. In situations like human errors, traffic or accidents, AI predicts decisions supported data analysis and help to avoid accidents and maintain their safety.
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