European retailers deploy NVIDIA open models and digital twins
Original title: NVIDIA Transforms European Retail, From Digital Discovery to Physical Operations
Shopify says a post-trained Nemotron model cut serving costs 90% and responded 7x faster on an internal test.
NVIDIA describes European retail use of open models, inference software, digital twins and warehouse simulation. Shopify post-trained Nemotron 3.5 Lightning for a GraphQL subagent in Sidekick and reports it beat a leading frontier model on an internal benchmark. Zooplus, Photoroom with Vestiaire Collective, Omi with L’Oréal, Mirakl, Otto Group, ALLSIDES and CATCHES with AMIRI are also cited.
Unconfirmed: Accuracy, cost and sales figures are company-reported and not independently audited.
- Shopify reports up to 12x lower inference cost across five further use cases.
- A Zooplus prototype reached 86% search accuracy inside AWS.
- Photoroom standardizes about 40,000 Vestiaire images a day across 70 countries.
- CATCHES reports AMIRI conversion up 55% and gross sales up 56% after seasonal adjustment.
- Vendors
- NVIDIA
From the original article
4 min read at blogs.nvidia.com
European retailers are using open models and physical intelligence across use cases — from a commerce platform cutting inference costs by 90% to to a fulfillment center where collaboration of different robotic fleets is simulated inside a digital twin. Frontier Results With Open Models Retail leaders and technology companies across Europe are using NVIDIA-accelerated open […]
By Mavi Nafria · blogs.nvidia.com
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