Stadler Anlagenbau GmbH
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Material Intelligence

Leveraging material data for enhanced plant performance

STADLERconnect integrates material data to increase transparency, reduce personal dependency, and improve plant performance both in throughput and yield.

STADLER Connect with bale data

Our sorting plants are renowned for their high sorting quality. To maintain these standards, manual sorting has traditionally been used for quality control, requiring precision and consistency. However, manual sampling and analysis is both resource-intensive and costly, with quality checks only performed on a limited sample of materials. Automated quality control, powered by cutting-edge inline sensor technologies, allows plant operators to allocate their personnel to other tasks without compromising on quality. Unlike human workers, sensors don't tire or require breaks, ensuring continuous, reliable quality control.

Cutting-edge products from our team

Optimize your sorting process with our intelligent solutions

Achieve new levels of precision and efficiency with our advanced tools.  AI Material Compass allows you to predict bale composition with high accuracy, ensuring better sorting outcomes and maximizing material value.  Production Report keeps you informed with automated updates on key performance indicators, giving you real-time insights and enabling faster decision-making.

STADLER Connect on smartphone

Our Material Intelligence products

STADLERconnect Production Report displayed on a desktop PC, laptop, tablet, and smartphone. The user interface shows production data from a sorting plant, including colorful bar and pie charts illustrating the quantity distribution and percentage shares of sorted material fractions, as well as a detailed results table.

Production Report

Operational challenge:

Inefficient organization of logistics and input composition planning without monitoring of production quantities 

Solution and benefits: 

Near real-time overview of bales, bunkers and distribution of material fractions 

  • Shift-based assessment of production quantities trough automatic tracking 

  • Improved upstream decisions with accurate estimates on input composition and sorting performance 

  • Improved inventory management 

AI Material Compass

Operational challenge:

Quality of material is often unknown or checked on an irregular basis through sampling and manual sorting analysis 

Solution and benefits: 

Automated inline monitoring of material regarding its mass-based composition and purity  

  • Increased quality transparency tracing back to individual infeed batches and suppliers 

  • Reduced costs for manual sampling and analysis 

  • Early detection of plant performance fluctuations and optimization potential 

  • Improved customer trust through reduced claims 

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