High Average Order Value (AOV) items demand high-resolution trust. AI agents are programmed to avoid risk and will actively deprioritize products that lack transparent, verified specs. If your product data is trapped in flat descriptions or messy CSVs, and lacks the depth to accurately describe settings, cuts, and clarity, machines cannot understand it. Without these granular attributes, your brand becomes invisible to shoppers using long-tail keywords.

AI agents don't simply recommend "gold rings", they look for highly specific items like "18k yellow gold vintage solitaire engagement rings." Through precise product data enrichment, Velou provides the exact gemological and stylistic data needed to capture high-intent AI shoppers. We use the world's first AI model trained specifically on digital gemology to ensure your products match these complex, high-value queries.

Trust equals conversion. Because AI agents avoid risk when recommending expensive items, they require verified signals to confidently suggest your brand as the authority. By structuring your data with Velou, you provide the exact facts Large Language Models (LLMs) need such as precise carat weight and material purity, ensuring a secure, hallucination-free recommendation.

Yes. You can stop your team from manually tagging thousands of SKUs. Velou ingests your raw feeds and standardizes descriptions instantly (for example, automatically transforming a raw file name like "RG-Dia-Ring" into a rich title like "14k Rose Gold Diamond Eternity Band"). We clean up your "tag soup" by replacing inconsistent vendor tags with a structured taxonomy, enabling the deep faceted navigation (like "Sterling Silver > Earrings > Drop Style") that jewelry shoppers actually use.

Powered by the Commerce-1 model which is trained specifically on high-SKU commerce catalogs, Velou features powerful bulk actions. You can process 10,000+ SKUs in minutes, not months, while maintaining over 99.5% accuracy.