Digital Event Horizon
NVIDIA Transforms European Retail with Open Models and Physical Intelligence, Revolutionizing the Way Retailers Operate and Interact with Customers
NVIDIA has transformed the European retail landscape by leveraging open models and physical intelligence. Retailers like Shopify, Zooplus, and L'Oréal have adopted NVIDIA's technology to advance agentic commerce, digital product discovery, and retail R&D. The use of open models has reduced inference costs by up to 90% and delivered responses 7x faster. Physical intelligence has enabled retailers to simulate retail environments, automate warehouse operations, and deliver virtual try-on experiences. NVIDIA has showcased three Blueprints for retail, including solutions for employee productivity, inventory simulation, and agentic finetuning. These solutions have enabled retailers to cut costs, deliver faster response times, and improve the shopping experience for their customers.
NVIDIA has been at the forefront of transforming the European retail landscape by leveraging open models and physical intelligence. This innovative approach has enabled retailers to advance agentic commerce, digital product discovery, and retail R&D. The company's technology has been adopted by prominent European retailers, including Shopify, Zooplus, Photoroom, Omi, L’Oréal, Mirakl, Otto Group, CATCHES, and others, to name a few.
The use of open models has enabled retailers to cut inference costs by up to 90% and deliver responses 7x faster. Shopify, for instance, has successfully post-trained NVIDIA's Megatron Bridge library for faster fine-tuning and NeMo RL for reinforcement learning. This has resulted in a significant reduction in serving costs and faster response times.
Zoolpus, Europe's leading online pet retailer, has rebuilt its product discovery stack using NVIDIA technologies. The company has achieved an impressive 86% search accuracy using the NVIDIA Nemotron Retriever library for semantic search and the NVIDIA Blueprint for retail catalog enrichment. This has enabled Zoolpus to provide a better shopping experience for its customers.
Photoroom, another prominent retailer, has seen its Image Editing API standardize every primary image, about 40,000 a day across 70 countries, at the point of listing. This has resulted in listings processed by Photoroom sold at a 5% higher rate of liquidity, with 3% to 7% more unique views per product page.
Omi has launched ProductDrop, a workflow that anchors every generated image to an approved digital twin. This has enabled brands to scale creative output across entire catalogs without introducing product errors. L’Oréal is using this approach, combining Omi’s digital twins with generated brand environments within its CreAItech program.
L’Oréal is also accelerating the discovery of the best ingredient combinations, moving from months of experimentation to hours of computational screening, with the integration of NVIDIA ALCHEMI into its research workflow. The company is also testing this approach with CurieOS, Orbital Industries’ operating system for science and engineering, using OrbMol-v2, its open source molecular simulation model.
Mirakl, a software company for intelligent commerce, runs open models on NVIDIA GPUs, both on its own infrastructure and through European cloud providers like Scaleway. This keeps its technology sovereign, avoids vendor lock-in, and delivers the speed and scale its customers expect.
Physical intelligence, including digital twins and open models, has enabled retailers to simulate retail environments, automate warehouse operations, and deliver virtual try-on experiences. Otto Group has advanced its autonomous warehouse under human supervision initiative, built with Reply on NVIDIA Omniverse libraries and running on Google Cloud.
ALLSIDES has launched its 3D Digital Twin Factory, an automated pipeline that transforms physical objects into SimReady 3D digital twins in minutes. This has enabled brands to design, test, and optimize warehouse operations entirely in simulation before any physical implementation.
CATCHES has achieved production results from its RealFit deployment with AMIRI, with conversion up 55%, add-to-cart up 80%, and gross sales up 56%, all after seasonal adjustment against like-for-like styles. The company has launched PredictiveFit, extending physics-based virtual try-on to retailers, as well as CASI, a personal fashion agent that shops, styles, and sizes for customers over WhatsApp, powered by open weight models including NVIDIA Nemotron 3, built on NVIDIA Omniverse and the Newton Physics Engine.
NVIDIA has also showcased three NVIDIA Blueprints for retail, all available in early access and running on Nebius infrastructure, accelerated by NVIDIA. These blueprints include Agent Harness for Employee Productivity, Inventory Simulation and Optimization, and Agentic Finetuning Flywheel. These solutions are designed to help retailers reduce overstock and stockouts, model demand scenarios, test replenishment strategies, and optimize stock levels before users need to commit in the real world.
In conclusion, NVIDIA's transformation of the European retail landscape has been a significant achievement. The use of open models and physical intelligence has enabled retailers to advance agentic commerce, digital product discovery, and retail R&D. The company's technology has been adopted by prominent European retailers, including Shopify, Zooplus, Photoroom, Omi, L’Oréal, Mirakl, Otto Group, CATCHES, and others. These solutions have enabled retailers to cut inference costs, deliver faster response times, and improve the shopping experience for their customers.
Related Information:
https://www.digitaleventhorizon.com/articles/NVIDIA-Transforms-European-Retail-with-Open-Models-and-Physical-Intelligence-deh.shtml
https://blogs.nvidia.com/blog/european-retail-open-models-robotics/
Published: Thu Oct 22 02:33:57 2026 by llama3.2 3B Q4_K_M
