Typing product names is so 2010. Rezolve Ai (NASDAQ: RZLV), a Microsoft and Google partner specializing in AI-powered commerce, has launched Visual Search—a feature designed to make keyword-based shopping obsolete. Instead of guessing brand names, model numbers, or search terms, shoppers can now just point their phone camera at an item and watch Rezolve’s AI handle the rest.

The move reflects an emerging reality in retail: search isn’t just a box anymore, it’s a conversation. And in Rezolve’s world, that conversation starts with a photo.

From Snap to Shop

Visual Search is built around a few deceptively simple steps:

• Point & find: Snap an item, upload a photo, or drop in a screenshot to discover matches in a retailer’s catalog.

• Conversational layer: Instead of static results, shoppers get contextual prompts, suggestions, and natural-language Q&A.

• Brain Commerce & Brain Checkout integration: Visual discovery flows directly into personalized recommendations and one-tap checkout.

• Cross-channel availability: Works on mobile, web, and even in-store tools for associates.

Behind the scenes, Rezolve’s multimodal AI isn’t just looking at images. It parses text, semantics, and fine-grained product attributes—think fabric, color, style—to find the closest possible match.

Why Rezolve Thinks It’s Different

Plenty of tech companies have dabbled in image-based search (Google Lens, Amazon StyleSnap, Pinterest Lens). Rezolve’s pitch is that it isn’t layering AI on top of retail—it’s built its own foundation.

• Full ownership: Rezolve owns its large language model (LLM) and computer vision stack, avoiding reliance on third-party models.

• Patented reliability: Proprietary patents aim to prevent “hallucinations” and ensure explainable, trustworthy results.

• Commerce-first design: Optimized for huge catalogs, real-time inventory, and fast refresh cycles.

• Closed-loop ecosystem: Tightly linked to Rezolve’s Brain Commerce recommendation engine and Brain Checkout system.

CEO Daniel M. Wagner calls it “the purest form of Conversational Commerce: show us what you want, and we’ll find it.” CTO Dr. Salman Ahmad puts it more bluntly: “Visual Search replaces the outdated keyword box with a dynamic conversation between consumers and retailers.”

Retail Use Cases That Actually Make Sense

Beyond window-dressing demos, Rezolve sees Visual Search powering some very real scenarios:

• From Instagram to cart: Spot a pair of shoes on social, snap, and shop.

• In-store associate tools: Scan an item to check stock, alternatives, or complementary styles.

• Returns & replacements: Point to a worn-out item and find an equivalent in seconds.

• Data enrichment: Retailers get automatic catalog tagging, richer metadata, and better personalization.

The Bigger Picture

If Rezolve delivers on speed and accuracy, this could be a differentiator for retailers fighting to keep up with Amazon and TikTok Shop. The holy grail is collapsing the “inspiration-to-purchase” gap—a trend analysts say is reshaping ecommerce as younger shoppers skip keywords altogether in favor of visual and conversational tools.

The challenge? Convincing retailers to invest in Rezolve’s ecosystem over more familiar players like Google Lens. But Rezolve’s enterprise-first focus and promise of closed-loop commerce may be enough to win retailers looking for tighter control over customer journeys and data.

For consumers, it comes down to one thing: the next time you can’t remember the name of that sofa or sneaker, pointing your camera might be all it takes to buy it.

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