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Multimodal Search: Integrating text, images, and behavior for enhanced discovery
40%
improvement in revenue uplifting opportunity
62%
of Gen Z and millennials prefer visual search
Why Search Beyond Text Matters
Multimodal search combines text, images, attributes, and behavioral data to deliver highly relevant product discovery. It replaces keyword limitations with AI-driven understanding, improving conversions and overall shopping experience.
What this whitepaper unpacks
Attribute enrichment is critical for AI-driven discovery
Without structured and enriched product data (color, style, material), even advanced multimodal systems cannot interpret complex shopper intent accurately.
Hybrid retrieval architecture is the backbone of performance
Netcore Unbxd combines vector (semantic) search, keyword (lexical) search, and behavioral ranking to create a unified retrieval approach. This layered method ensures both high precision and strong contextual relevance in search results.
Behavioral signals continuously refine search quality
Real-time data such as clicks, add-to-cart events, and purchase history helps the system learn what actually converts, improving ranking dynamically over time.
Subhajit Saha
Product Expert
Overseeing content strategy to showcase how Netcore Unbxd’s industry-leading solutions can drive impactful results.
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