AI Unlocks Image & Text Search Fusion

Netcore Unbxd introduced Agentic Multimodal Search globally on March 30, 2026. This new AI capability integrates image and natural language understanding into a single search experience for e-commerce systems. It allows retailers to better interpret shopper intent by processing visual cues and language input, whether typed or voice-enabled, simultaneously.

Previously, image and text searches were treated as separate functions. This unified approach enables shoppers to upload an image and refine their search with descriptive language, such as style or color preferences. The system evaluates both visual and language signals together to grasp shopper intent accurately.

This advancement is crucial for visually oriented product categories like fashion and furniture. It addresses the growing need for AI systems to execute on imperfect inputs, moving relevance from string matching to meaning matching. Three key forces driving this shift are mobile-first behavior, visually distinct product catalogs, and rising AI expectations from shoppers.

Retailers can leverage this technology to strengthen product discovery for inspiration-led journeys and exploratory browsing. The system enhances resilience, performing well even with vague input or incomplete catalog data. Netcore Unbxd positions this as a foundational element for modern e-commerce, supporting both traditional and AI-assisted shopping experiences.