Virtual try-on solves a different problem in each part of the apparel industry. A bridal manufacturer has a catalogue nobody can floor; an online retailer has returns driven by appearance; a tailor is selling a garment that does not exist yet; a catalogue team is short of studio days. The technology is the same. What it is worth, and what it has to get right, is not.
Each page below is written as a problem and a workflow, not as a customer story. It sets out what the sector actually contends with, how the try-on fits into the way that sector already works, what to test before believing any of it, and where the technology stops being useful.
Hundreds of made-to-order styles, a sample rail that holds a few dozen in one size, and a bride asked to imagine the rest.
Read more → E-commerceShoppers deciding from photographs of someone else's body, and the returns that follow from the gap.
Read more → TailoringA configurator that asks a customer to picture a finished suit from a two-inch swatch and a list of options.
Read more → ProductionOn-model coverage for every style and colourway, on a drop calendar the studio cannot keep up with.
Read more →Across all four, the input is the product photography that already exists, the shopper or customer supplies a single photo with nothing to install, and the try-on attaches to an existing page with one asynchronous script tag on any e-commerce platform, or through the REST API for headless storefronts. Output runs to 4K in PNG, WebP or JPEG, and the models cover 17 fabric types.
What differs is the test that matters. In bridal it is structure and the near-whites; in e-commerce it is catalogue breadth and colour fidelity; in tailoring it is cloth at garment scale; in catalogue production it is consistency across a set. If you are evaluating, test the one your sector lives on.
