With the integration of AI-based robotics solutions from Sereact, Kardex expands its portfolio to include autonomous picking solutions that can identify and handle new objects without prior training. A future-proof partnership for easy-to-implement warehouse automation.
“Sereact offers one of the most advanced pick and place solutions available, which can be quickly and flexibly adapted to complex requirements”says Marco Pfendsack, Chief Technology Officer at Kardex. “The technology fits perfectly with our approach of providing our customers with smart, robust, and easily accessible automation.”
Sereact's technology is based on a Vision-Language-Action Model (VLAM) that combines visual, linguistic, and physical information. The systems analyze their environment contextually, develop autonomous action strategies, and operate reliably even with unknown object characteristics. The user interface is intuitive, and integration into existing control systems is seamless.
For Kardex customers, this means less manual intervention, shorter project durations, and a particularly stable system during operation. "A stable system that can be flexibly adapted to customer needs – that's precisely the key to future-proof automation"says Daniel Hauser, Head of Business Unit AS Solutions at Kardex. "During operation, there is little user interaction, as the robot handles most situations independently."
Practical example Sonepar
The partnership is already showing initial success in a joint project with Sonepar: In a highly dynamic environment, a picking robot picks two parallel orders into differently sized target boxes – with limited space and changing items. A classic challenge for conventional automation systems, which is masterfully handled by Sereact's AI solution.
Photos: Kardex
“The system impresses with its high quality, intuitive user interface, and extremely short project durations – a real added value for our customers”emphasizes Jan Meier, Regional Director of Sales. Kardex is already exploring further applications of Sereact Lens, such as automated quality control, inventory checks, and incoming goods inspections. The goal is to detect deviations early, such as incorrectly delivered items or faulty master data, and avoid manual rework.
