In Europe, trucks are only about 50% utilized on average – a structural issue causing significant costs. Millions of tons of CO₂, high diesel bills, and unnecessary road traffic are the result of poorly utilized cargo space. At the same time, there's a lack of capacity and personnel to organize transportation more efficiently.
The image shown illustrates how easy it is: a single photo from a smartphone is enough, and CargoSight’s AI recognizes the fill level and remaining loading volume in seconds – accurately, automatically, and without additional sensors.
The data can be used directly during loading via the app – for instance, to check whether more goods can be loaded or if the vehicle is considered full. At the same time, historical loading data can be analyzed for optimization: for capacity planning, identifying typical utilization patterns, or improving loading guidelines.
This data is gold for logistics: it integrates directly into existing systems like TMS, route planning, or dispatching. This enables better utilization, leaner processes, and well-informed decisions – an attractive module for software vendors, consultants, or platform providers as well.
CargoSight uses artificial intelligence to calculate the free area, remaining volume, and utilization of a truck’s cargo space from a single photo – without any additional sensors.
A standard smartphone or tablet with a camera and iOS or Android is sufficient. No special hardware is required.
Within a few seconds – the image is processed in the cloud, and results are instantly available for further use.
Besides freight forwarders and shippers, providers of transport management systems (TMS), software companies focusing on loading optimization, and logistics consulting firms all benefit. They can use CargoSight as a data source or add-on to offer additional value to their customers.
Easily via the CargoSight API. The data is structured and can be integrated into existing planning systems, dispatching solutions, or data platforms – tailored to your needs.
Fraunhofer Institute for Material Flow and Logistics IML