Agentic Commerce Visual Signal
As AI shopping agents increasingly evaluate or purchase on a shopper's behalf, structured product-feed data alone can't answer whether something actually suits a specific person. Gennoctua supplies that missing visual signal.
How it works
The identical Style, Fit & Match signal used in human-facing try-on is generated from the shopper's own body or space.
The verdict is expressed in a form an agent can act on with confidence — not just a human-facing visual UI.
Agentic commerce already relies on structured product feeds; Gennoctua supplies the visual complement those feeds are missing.
The same underlying signal serves both the human shopper and the agent acting on their behalf — not a separate product.
Who this is for
This is the visual complement to structured data feeds specifically for agentic and AI-driven purchasing flows — an additional buyer (the agent) for the same underlying signal humans already see.
Consent and image capture happen directly inside the plugin, at the point of use. Generation is cloud-assisted today — on-device generation isn't yet mature enough to run at production quality, so we're honest about that rather than claim otherwise. The result is cached on the shopper's own device, not retained on Gennoctua's or the retailer's servers, and each install captures fresh rather than sharing an identity across apps.
FAQ
It's a Style, Fit & Match verdict — grounded in an individual shopper's actual body or space — expressed in a structured form an AI shopping agent can act on, not just a human-facing visual interface.
Structured product-feed data alone can't answer whether something actually suits a specific person — that requires a signal grounded in the individual, which is what Gennoctua's Style, Fit & Match render provides.
No — it's an additional use of the same underlying signal, for a second audience (the agent) alongside the human shopper, not a replacement.
Technical, product, and innovation-facing teams — CTOs, heads of AI or product, and innovation leads — more often than a pure marketing contact.
The other three use cases
Live in about three days, pay-as-you-go. Book a walkthrough built around your own products.
Book a demo
