Many native and third-party Shopify apps fail because they rely on broken or missing product tags. Smart Collections frequently break when vendor data is inconsistent. Furthermore, AI agents will completely ignore your products if they cannot interpret unstructured data. Velou cleans up this foundational data layer so your products get found everywhere your customers search.

Consistent Shopify 2.0 themes are great for human shoppers, but they do not solve the AI Readability problem. AI agents like ChatGPT and Gemini require structured formats to recommend your brand. Through deep product data enrichment, Velou adds vital context to your catalog. For example, if your tags are messy or your metafields are empty, Velou structures that data so when a shopper asks an LLM for a "perfect summer wedding dress," the agent knows exactly why it should recommend yours.

Yes. You can stop manually entering data. Velou’s Commerce-1 AI scans both your product images and raw descriptions to automatically populate complex Shopify Metafields—such as Fit, Material, Occasion, Style, and Neckline. The result is sidebar filters that actually work for your customers and enriched SEO data that Google loves.

Using the Commerce-1 Model, the only AI trained specifically on high-SKU commerce catalogs with 99% accuracy on fashion and lifestyle attributes, Velou features powerful bulk actions. You can process 10,000+ SKUs in minutes, not months.

Yes, Velou provides seamless integration for effortless workflows. It works perfectly with Online Store 2.0, integrating natively with your existing theme architecture. If you are running a headless setup using Hydrogen or a custom stack, Velou easily enriches the API response directly.