API-first virtual try-on that works with standard product photos, supports avatars and user photos, and gives shoppers a realistic sense of fit and drape.
A virtual try-on system focused on realism, flexibility and integration – built for modern fashion e-commerce teams.
Under the hood, Provalo.ai uses a modular pipeline so you can start small and scale as your volumes and use cases grow.
Generative models capture fabric texture, lighting and shadows for compelling try-on visuals that feel like real photos, not filters.
Different categories behave differently. Provalo.ai adapts fit to hoodies, t-shirts, dresses, outerwear and more with appropriate volume and drape.
Offer simple modes like true-to-size, relaxed or oversized and align them with your sizing guide and size recommendation engine.
Use avatar-based try-on flows when you want to prioritise privacy or avoid user-generated images, while still showing realistic garment behavior.
Showcase garments on a range of model types or avatars so shoppers can better understand fit beyond a single “perfect” body shape.
Generate additional visuals for lookbooks, newsletters and social media campaigns using the same try-on engine.
A REST API gives direct control over try-on generation and retrieval, making it easy to plug Provalo.ai into custom storefronts and backends.
Designed with Shopify and WooCommerce in mind, plus other platforms via headless or middleware integrations.
Track usage, conversion impact and error rates, and plug key metrics into your BI tools or CDPs.
Provalo.ai is built with privacy and compliance in mind, treating user photos and personal data with care.
Better fit visualization can help reduce unnecessary size exchanges and returns, contributing to a more sustainable fashion ecosystem.
We can walk your team through the architecture, roadmap and integration options for Provalo.ai.