Netcore Unbxd Launches Agentic Multimodal Search to Redefine AI-Powered E-commerce Discovery

Netcore Unbxd has revealed the global availability of its innovative Agentic Multimodal Search, which is a cutting-edge technology aiming to allow e-commerce sites to better understand the intent of shoppers by utilizing visual and natural language inputs in a single search.

This innovative technology will allow retailers to understand searches performed by consumers in the form of images, typed text, and voice commands simultaneously, which is in line with the increasing trend of AI-based shopping experiences in which consumers’ intent is often represented in multiple ways.

This move represents a major shift in the world of online commerce, in which the role of search is changing from a simple data retrieval tool to an AI-based intent interpretation layer.

“As commerce becomes more visual and AI-led, shoppers shouldn’t have to translate intent into rigid search terms,” said Ravi Shankar Mishra, Product and Conversational Director at Netcore Unbxd. “Agentic multimodal search allows the teams to understand how shoppers see products and how they describe them, combining visual cues with language-based refinement in real-time.”

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Unifying Visual and Language Intent in One Search Flow

Traditionally, image-based searching and text-based searching are treated as two separate processes in e-commerce search engines. However, in reality, this is not how people are searching nowadays.

For instance, a consumer may want to buy a product after seeing a visual inspiration, which may include a screenshot, image, or design reference, and then narrow their search by using contextual prompts.

This is where Netcore Unbxd’s Agentic Multimodal Search helps, as users can upload images and add prompts on those images, making searching a more intuitive process.

The system no longer focuses on searching separately, but combines both images and text to provide a holistic understanding of what a consumer is looking for.

This means visual inputs establish the aesthetic reference point, while text or voice prompts introduce filters and contextual preferences.

The resulting product recommendations are ranked using a combination of:

• semantic relevance
• product popularity
• shopper behavior signals
• geo-location context
• freshness indicators
• AI-driven meaning matching

In these segments, discovery is often influenced as much by aesthetics as by technical specifications.

Moving From String Matching to Meaning Matching

The launch highlights an important architectural evolution in e-commerce infrastructure.

Instead of relying on traditional keyword-based string matching, the system shifts toward meaning-based relevance and agentic reasoning.

This allows the platform to interpret vague, incomplete, or exploratory search inputs more effectively.

“Visual search answers what looks similar,” said Nishant Jain, COO, Netcore Unbxd. “Agentic multimodal search enables retailers to surface what aligns with the shopper’s intent by understanding both visual inspiration and descriptive context together.”

This capability improves performance in long-tail discovery journeys where users may not know exactly how to describe what they are looking for.

Enabling the Next Phase of Agentic Commerce

Netcore Unbxd positions multimodal search as part of a broader agentic commerce stack, where AI systems evolve from passive recommendation tools into intelligent systems capable of active interpretation and decision support.

According to the company, three key forces are accelerating this shift globally:

• mobile-first behavior, where camera-based search often becomes the fastest entry point
• visually differentiated catalogs, where design and aesthetics drive purchase decisions
• rising AI expectations, with shoppers expecting platforms to understand multiple forms of intent input

In this environment, search becomes one of the first customer-facing systems to transition from static retrieval to active reasoning.

For retailers, this translates into stronger product discovery across inspiration-led journeys, exploratory browsing, and incomplete search queries.

The system also improves resilience by continuing to perform effectively even when customer inputs are vague or product catalog data is incomplete.

“Search is becoming the first agent in the commerce stack,” added Nishant Arora, Senior Vice President (SVP) of Marketing at Netcore. “The ability to understand visual and language intent together is becoming essential as commerce experiences grow more dynamic and AI-enabled.”

Building Future-Ready E-commerce Search Infrastructure

With this launch, Netcore Unbxd is reinforcing its focus on AI-led commerce infrastructure designed for evolving consumer behavior.

As digital shopping experiences become increasingly conversational, visual, and AI-assisted, multimodal search is emerging as a foundational capability for retailers looking to improve discovery, conversion, and customer experience at scale.

SOURCE: PRNewswire