Beta SaaS for supported fashion merchants

AI try-on that becomes merchant intelligence.

Wishlize adds a try-on SDK to fashion storefronts, runs Jarvis-hosted generation, and turns shopper reactions into product-level audience and campaign workflows.

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What the beta product does

From try-on to sales action.

01

SDK integration

Merchants add one script, one config, and product-card attributes inside their existing product loop.

02

Jarvis try-on

The storefront calls Wishlize; Wishlize routes generation to the Jarvis-hosted IDM-VTON inference service.

03

Audience ledger

Completed generations, likes, cart intent, product metadata, and recommendation emails are tracked per merchant.

Demo paths

The storefront examples are separate from the SaaS app.

Use these pages to show the integration story: a normal merchant collection first, then the same product loop with Wishlize SDK wiring. The merchant platform, docs, keys, dashboard, audience, actions, and integration health live on app.wishlize.com.

Before integration Plain merchant collection, no Wishlize SDK. After integration Same collection loop with try-on, consent, tracking, and cart intent. Merchant docs Personalized snippet and AI-agent prompt after login.

Start with one supported storefront.

Wishlize is intentionally aimed at developer-assisted fashion merchants first. The product does not promise arbitrary scraping or app-store plug-and-play yet; it expects editable storefront templates and product metadata exposed through data-wishlize-* attributes.

Get API keys Read docs