The challenge
Fashion shoppers hesitate without seeing fit, drape, and color on a body like theirs—driving returns and abandoned carts.
Shooting every SKU on multiple models across regions is slow, expensive, and hard to refresh for seasonal drops.
Generative Media
E-commerce AI Virtual Style Try-On
Let shoppers preview outfits and accessories on diverse model presets before they buy.
A generative vision product we build for fashion and retail—virtual try-on from product stills, size-aware garment draping, shade matching for cosmetics, and shareable looks for social commerce. Brand teams control model diversity, backgrounds, and approval queues before assets go live on storefronts and marketplaces.
We build and develop products like this end-to-end—from discovery and architecture through production rollout and ongoing optimization.
Platforms
- Web App
- iOS
- Android
- API
- Cloud SaaS
Our solution
Upload garment, footwear, or accessory images; the pipeline segments products, maps them to pose-controlled avatars, and renders studio-quality try-on stills and short clips.
Merchandisers A/B test backgrounds and hooks, export marketplace-safe aspect ratios, and sync winners to PDPs, ads, and influencer kits.
Key features
Core capabilities we engineer into this product—each designed for production use with configuration, observability, and integration hooks your team can operate after launch.
- 01
One-photo try-on
Generate on-model looks from flat-lay or mannequin stills without a studio shoot.
- Engineered for your teams as part of E-commerce AI Virtual Style Try-On, with configuration and policy controls your operators can manage.
- Configurable workflows, approval gates, and policy rules adapt to how your team operates day to day.
- Production observability covers usage metrics, error tracking, and quality sampling after launch.
- 02
Inclusive model library
Preset avatars across sizes, skin tones, and poses with brand-controlled casting.
- Engineered for your teams as part of E-commerce AI Virtual Style Try-On, with configuration and policy controls your operators can manage.
- APIs, webhooks, and standard connectors integrate this capability with CRM, ERP, and internal portals.
- Supports phased rollout—from pilot cohorts and shadow mode through full production traffic.
- 03
Cosmetics shade matcher
Preview lip, foundation, and eyewear tones on diverse face presets.
- Engineered for your teams as part of E-commerce AI Virtual Style Try-On, with configuration and policy controls your operators can manage.
- Role-based access, audit logs, and admin controls keep operators and compliance teams aligned.
- Designed for long-running operations with versioning, rollback, and change review built in.
- 04
Campaign export factory
Batch 9:16, 1:1, and 16:9 assets for paid social and marketplace listings.
- Engineered for your teams as part of E-commerce AI Virtual Style Try-On, with configuration and policy controls your operators can manage.
- Templates and presets accelerate setup while still allowing fine-tuning for your domain.
- Exportable reports and dashboards help stakeholders track adoption, ROI, and model quality.
- 05
Review & rights queue
Human approval, watermarking, and usage logs before publish.
- Engineered for your teams as part of E-commerce AI Virtual Style Try-On, with configuration and policy controls your operators can manage.
- Human-in-the-loop checkpoints ensure sensitive decisions stay under expert review when needed.
- Extensible architecture lets you add data sources, channels, and automations as programs mature.
Platforms
- Web App
- iOS
- Android
- API
- Cloud SaaS
Tech stack
- Next.js
- Python
- GPU inference
- S3
- CDN
- PostgreSQL
AI technologies
- Garment segmentation & warping
- Diffusion try-on models
- Body/pose estimation
- Color calibration for cosmetics
- Brand safety filters