Velou provides an AI-driven data enrichment platform that optimizes product information for e-commerce, enhancing search performance and increasing conversion rates. By automating the creation of enriched product descriptions and attributes, Velou reduces manual effort by 95% and accelerates product launches by 23 times, leading to significant revenue growth.
Funding
$9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
E-commerce businesses struggle with static product catalogs that lack the detailed, structured data required for modern AI-driven search, advertising, and personalization. This results in poor product discoverability, irrelevant search results, wasted ad spend, and ultimately, lower conversion rates.
Solution
Velou offers an AI-powered product data infrastructure that continuously enriches and optimizes product information for e-commerce platforms. The platform transforms static product catalogs into intelligent, self-learning engines by automatically generating attributes, use cases, styles, and materials. Velou's AI adapts in real-time based on trends and shopper behavior, ensuring product data remains relevant and effective. By improving product titles and descriptions, Velou maximizes visibility across organic and paid search channels, leading to increased traffic and better rankings. The solution integrates with existing marketing technologies, such as Feedonomics, Algolia, and Shopify, to deliver enhanced performance across all marketing channels.
Target Audience
Velou primarily targets e-commerce businesses, retailers, and marketplaces that want to improve product discoverability, increase conversion rates, and optimize their marketing spend through AI-driven product data enrichment.
Features
- AI-driven product data enrichment that automatically generates attributes, use cases, styles, and materials
- Real-time optimization based on trends and shopper behavior
- Semantic search capabilities that improve search relevance and conversion rates
- Dynamic creation of AI product titles and descriptions for enhanced SEO performance
- Integration with existing marketing technologies, including Feedonomics, Algolia, and Shopify
- Category-specific AI models that tailor data enrichment to specific product types
- Continuous updates and structuring of product data for maximum discoverability