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04/06/2026

EU International Drone Show 2026

AI-driven material handling and automated bagging for high-variation production

Service description

This service extends the AI-driven sorting solution by enabling automated material handling and bagging in post-processing operations. It is specifically designed for manufacturing SMEs operating in high-mix, low-volume environments, where a large variety of parts and product types makes manual packaging inefficient and error-prone.

With this service, companies can explore how advanced automation technologies can optimize end-of-line processes, including product handling, packaging, and labeling. The solution addresses key challenges in post-processing production by enabling flexible and scalable handling of highly variable parts.

The system integrates seamlessly with AI-based identification and sorting solutions, allowing automatically identified parts to be accurately routed, handled, and packaged. Using intelligent control systems and automation technology, the solution fills bags with the correct products, performs secure sealing, and applies precise labeling—ensuring consistent, high-quality packaging results across different product types.

By automating material handling and bagging processes, manufacturers can reduce manual labor, minimize errors, improve traceability, and increase overall production efficiency in packaging and logistics operations.

The outcomes of the experiment are documented in a comprehensive evaluation report, providing insights into:

  • Efficiency and accuracy of automated bagging and packaging processes

  • Integration performance with identification and sorting systems

  • Suitability for handling high-variation parts and production scenarios

  • Impact on operational efficiency, labor reduction, and packaging quality

Expected results:
  • Evaluation of ability to leverage existing technology modules to cope a higher variety of parts beyond what is currently possible.
  • The gained knowledge and infrastructure applied to new segments of applications & companies
  • Technology modules enhanced to the most prominent cases.
Methodology:
  • Demonstration of current capabilities
  • Feasibility study assessing SME specific processes
  • Testing and Experimentation with different types of parts, e.g. metal parts or parts of different colors
  • Customization to address new and impactful use cases
Target:

User – Manufacturing companies operating in high-mix, low-volume and high-complexity environments that need reliable parts handling and baggibg to automate post-processing

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