Nomagic, a specialist in advanced physical AI for warehouse automation, has expanded its partnership with Swiss e-commerce leader Brack.Alltron to deploy Vision-Language-Action (VLA) systems in live warehouse operations. The collaboration enables robots to understand complex environments, adapt to dynamic inventory, and perform tasks autonomously—especially during nights and weekends, including Sundays. Brack, Switzerland’s second-largest online retailer, reports reduced peak pressure and increased throughput. The integration marks a shift toward intelligent, always-on automation. Kacper Nowicki, CEO of Nomagic, emphasized the real-world impact of AI-driven robotics. The company is accelerating VLA adoption through strategic investments in Switzerland, including hiring a Chief Scientist from Google DeepMind. Nomagic’s Physical AI platform learns continuously from live operations, handling millions of product variations with minimal human input, signaling a broader trend in supply chain automation. The move reflects growing industry demand for AI-powered logistics resilience.
Partnership for Vision-Language-Action Systems
Nomagic, specialisits in applying advanced physical AI to warehouse automation, has announced a partnership expansion with Swiss online retailer, Brack.Alltron, to include Vision-Language-Action (VLA) systems in live warehouse operations, highlighting the growing need for this industry-transforming innovation.
Scaling VLA Capabilities in Real-World Operations
Brack, the second-largest ecommerce platform in Switzerland, has been increasingly adopting Nomagic’s robotic solutions to automate key fulfillment processes, including order picking and packing. Expanding on its first deployments, the company is now scaling the use of advanced VLA capabilities to enable robots to better understand complex environments, adapt to changing inventory, and execute tasks with greater autonomy.
Autonomous Operations Beyond Traditional Hours
A defining feature of this collaboration has been the ability to extend operations beyond traditional working hours. Nomagic systems support autonomous warehouse activity during nights and weekends, including Sunday shifts, helping Brack reduce peak pressure and increase overall throughput.
“We have built a real partnership with Nomagic to integrate robotic picking into our operations, but the addition of VLA systems takes this to a new level,” said Roland Brack, Founder and Owner of Brack.Alltron.
“In the past, our goal was simply to minimize manual intervention. Today, we are seeing robots that truly understand their environment. This intelligence allows us to run autonomous shifts through nights and Sundays, ensuring we stay ahead of peak demand without increasing the pressure on our human workforce.”
Leadership in AI-Driven Robotics Innovation
“Brack is a strong example of how AI-driven robotics can deliver real, measurable impact in production,” said Kacper Nowicki, CEO of Nomagic. “By expanding the use of VLA models across a range of use cases, we are setting the stage for a new generation of automation technology in warehouses worldwide.”
Strategic Focus on Switzerland as an Innovation Hub
The collaboration reflects Nomagic’s broader strategic focus on Switzerland as a hub for innovation and deployment. Close collaborations with partners like Brack, combined with ongoing research and development efforts in the region, including the company’s recent Chief Scientist hire from Google DeepMind, is accelerating the advancement of VLA systems and their adoption in real-world logistics environments.
Physical AI Platform Enables Continuous Adaptation
Nomagic’s technology is built on a Physical AI platform that continuously learns from live operations, enabling robots to adapt to dynamic warehouse conditions and handle millions of product variations with minimal human intervention. As global supply chains face increasing complexity and labor challenges, the expansion of Nomagic’s systems at Brack signals a broader industry shift toward intelligent, always-on automation powered by advanced AI.
Source: logisticsbusiness.com
Compiled from international media by the SCI.AI editorial team.
