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ifoy award 2026

Nomagic Wins 2026 IFOY Award for Shoebox Picker, Marking Breakthrough in Warehouse Automation for Fashion and Footwear Fulfillment

Award recognizes Nomagic’s Physical AI solution for automating one of the most difficult workflows in e-commerce warehouses: picking delicate, two-piece shoeboxes at scale

Warsaw, Poland and Atlanta, USA – June 26, 2026 Nomagic, a leading robotics company applying advanced Physical AI to warehouse automation, today announced that its Shoebox Picker has won a 2026 IFOY Award in the Robot Warehouse System category, one of the intralogistics industry’s most respected honors.

The award recognizes Nomagic’s breakthrough in automating one of the most stubborn challenges in warehouse operations: the handling of two-piece shoeboxes in high-volume fashion and footwear fulfillment environments. Unlike most standard cartons, shoeboxes are fragile, variable in size and orientation, and often unsealed — making them notoriously difficult for conventional warehouse robots to pick reliably. Nomagic’s Shoebox Picker combines AI-driven perception with specialized gripping hardware to automate that workflow at commercial scale.

“Winning an IFOY Award is an important validation of what we’ve believed for a long time: the next major leap in warehouse automation will come from Physical AI solutions that can solve the messy, highly variable tasks that legacy automation still struggles with,” said Kacper Nowicki, CEO and co-founder of Nomagic. “Shoeboxes are a perfect example of that challenge. They represent a meaningful share of fashion e-commerce volume, but because they’re delicate, inconsistent and often unsealed, they’ve historically required manual handling. Shoebox Picker changes that, and this award is a strong endorsement of the progress our team has made.”

Shoeboxes account for a significant portion of order volume in fashion and footwear logistics, yet they have remained one of the last major manual bottlenecks in warehouse automation. Nomagic developed the Shoebox Picker to address that gap directly. The solutionis designed to pick, pack and sort shoeboxes in live warehouse environments, including mixed-bin scenarios, without requiring items to be pre-oriented. The Shoebox Picker  can automate up to 98% of shoebox SKUs and is already deployed in a live customer environment.

The win builds on a period of strong momentum for Nomagic as the company expands its commercial footprint and deepens its investment in Physical AI for logistics. Earlier this year, Nomagic announced a $10 million Series B extension, bringing total funding to more than $84 million, with plans to accelerate commercial operations in the U.S. and continue developing its Visual-Language-Action models for warehouse robotics.

The IFOY Awards, short for International Intralogistics and Forklift Truck of the Year, are widely regarded as one of the logistics sector’s most rigorous and credible awards programs. Winners are selected following a multi-stage evaluation process involving testing, scientific review and assessment by an independent international jury. In fashion e-commerce, shoeboxes constitute approximately 20% of all items – for footwear fulfillment centers, this percentage is significantly higher. Yet the two-piece shoebox has long been considered one of the most complex unpickable items and incompatible with traditional vacuum or mechanical grippers.

About Nomagic

Nomagic is a leading warehouse robotics company, applying breakthrough general-purpose Physical AI to optimize warehouse operations. The company’s deployed robots learn from a massive set of real operational data, built over millions of tasks in 24/7 environments, that trains an adaptable Physical AI platform handling a variety of warehouse tasks. Nomagic’s next-generation VLA (visual language action) models integrate automatically into the fleet of AI-powered robots, accelerating autonomy, improving efficiency, while setting the industry standard for the fastest deployment time. For more information visit nomagic.ai.

Media Inquiries:

press@nomagic.ai

(Image credit: Karl-Josef Hildenbrand)

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