Manual 3D modeling couldn't scale to hundreds of thousands of shoes. Now, AI builds reusable digital twins from a single 7-minute scan.
A leading European fashion platform connects 62 million active customers with 7,000 brands across 29 markets, processing over 278 million orders annually.
Standard product photography couldn't capture the crucial shape and depth of footwear, forcing the retailer to rely on repeated, expensive studio...
“Together with ALLSIDES and powered by NVIDIA, we are building a new foundation for how fashion content can work in the future. Richer 3D experiences help customers understand products better and make more confident decisions, while also opening up new possibilities for our brand partners. When a single digital asset can be used across product pages, virtual try‑on, localised marketing campaigns and multiple platforms, it creates the most efficient, flexible and scalable content model. We believe this can reshape how fashion content is created and used across the industry.”
Online fashion and lifestyle platform for shoes, clothing, and accessories.
Provided an AI-powered photometric 3D scanning platform for Zalando's product visualization.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Zalando's 3D product visualization is part of this use case:
Related implementations across industries and use cases
Manual tagging bottlenecked inventory for a month. AI now analyzes images to generate accurate descriptions in just one hour.
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Manual 3D modeling couldn't scale to hundreds of thousands of shoes. Now, AI builds reusable digital twins from a single 7-minute scan.
A leading European fashion platform connects 62 million active customers with 7,000 brands across 29 markets, processing over 278 million orders annually.
Standard product photography couldn't capture the crucial shape and depth of footwear, forcing the retailer to rely on repeated, expensive studio...
“Together with ALLSIDES and powered by NVIDIA, we are building a new foundation for how fashion content can work in the future. Richer 3D experiences help customers understand products better and make more confident decisions, while also opening up new possibilities for our brand partners. When a single digital asset can be used across product pages, virtual try‑on, localised marketing campaigns and multiple platforms, it creates the most efficient, flexible and scalable content model. We believe this can reshape how fashion content is created and used across the industry.”
Online fashion and lifestyle platform for shoes, clothing, and accessories.
Provided an AI-powered photometric 3D scanning platform for Zalando's product visualization.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Zalando's 3D product visualization is part of this use case:
Related implementations across industries and use cases
Manual tagging bottlenecked inventory for a month. AI now analyzes images to generate accurate descriptions in just one hour.
Merchandising relied on spreadsheets and physical resets. Digital twins now simulate layouts virtually before staff move a single shelf.
Sizing doubts held back shoppers. Virtual try-ons and a Gemini agent now visualize fit and answer queries, lifting conversion 2.6x.
Manual design took weeks to create personalized labels. AI generated 9,000 brand-safe variations in days.
Shoots took 10 crew members half a day. One employee now generates complex scenes—like shoes on wet floors—in 10 minutes with AI.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Managers spent hours manually calling applicants, losing many to delays. Now, an AI agent screens and auto-schedules interviews via text.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.