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We will once again be exhibiting at LogiMAT in Stuttgart from March 11 to 13, where we will be presenting groundbreaking technologies for the logistics industry. On the first day of the fair, Managing Director Rüdiger Elben will give a presentation at 10 a.m. in Forum South / Hall 4 on the topic of “Image and measured geometry data of logistics objects – untapped potential for stabilization and optimization in intralogistics.” He will demonstrate how visual and geometric data can redefine material flow and logistics processes.

 

At the same time, our booth in Hall 6, Booth C71, will demonstrate how intelligent freight measurement is revolutionizing the logistics industry. The focus will be on the CubiScan s9 and the innovative CubiScan N9 system, which offers scalable resolutions, continuous valid scanning, and easy integration. This sets new standards in the measurement of logistics objects. In addition, the award-winning AI solution “Predictive Vision for Logistics” for predicting object properties will be on display.

With the CubiScan s9, we are presenting an integrated solution in Stuttgart that combines several process steps in freight measurement. Thanks to the use of advanced AI features and technical innovations, freight measurement of objects of almost any size and shape is possible. The collected data can be seamlessly integrated into the customer's systems (WMS, TMS, ERP). In addition, state-of-the-art camera technology enables the capture of codes and logos for complete documentation. Particularly noteworthy is the integration of the s9 with a wrapping machine and a turntable, which allows the freight to be measured during the wrapping process.

By integrating with existing logistics systems, the system optimizes processes without interrupting the flow of materials, resulting in significant time and cost savings. The “Predictive Vision for Logistics” solution, which won an award in the SUCCESS competition in 2024, significantly optimizes the efficiency of freight measurement.

Thanks to AI image classification and deep learning, valuable insights into freight characteristics are provided at an early stage. From dimensioning and stacking properties to hazardous goods labeling, the system provides logistics providers with relevant data that significantly simplifies and optimizes process planning.