Netcore Unbxd Launches Agentic Multimodal Search for E-commerce Visual-Language Intent

Netcore Unbxd has launched agentic multimodal search, enabling e-commerce platforms to interpret combined visual and language customer intent within a single experience. The solution processes images, text queries, and mixed inputs, delivering hyper-relevant product discovery across categories.
Unlike traditional text-only search, multimodal AI understands “red dress like this photo but with longer sleeves” scenarios, combining uploaded images with descriptive modifiers. Computer vision models analyze visual attributes while LLMs process semantic intent, generating composite relevance scores.
Key capabilities include zero-shot visual search, style transfer recommendations, fit prediction from body scans, and dynamic pricing overlays on visual results. Retailers report 40% uplift in conversion rates and 35% reduction in bounce rates post-implementation.
The platform integrates with Shopify, Magento, and Salesforce Commerce Cloud via APIs supporting real-time personalization at scale. Enterprise features include A/B testing frameworks, customer journey analytics, and ROI attribution across search-driven revenue.
Netcore Unbxd’s move positions it against Pinecone, Weaviate in vector search, while competing with Algolia, Swiftype in e-commerce relevance. Early adopters include fashion retailers and consumer electronics brands processing millions of daily multimodal queries.