AI USE CASE
Virtual Try-On for Fashion Retail
Let shoppers visualise clothing and accessories on themselves before buying, reducing returns.
What it is
Computer vision and generative AI overlay garments, accessories, or makeup onto a live or uploaded customer image in real time. Implementation requires a mobile-ready camera interface and a well-tagged product catalogue with high-quality imagery. The experience can be embedded in an existing e-commerce storefront or delivered as a standalone app module.
Data you need
High-quality, standardised product images (multiple angles, transparent backgrounds) and a tagged product catalogue with size/colour metadata.
Required systems
- ecommerce platform
Why it works
- Invest upfront in a standardised photo production process that captures products at the angles and resolutions the AI model requires.
- Start with a high-traffic, high-return-rate product category (e.g. eyewear or tops) to demonstrate ROI quickly.
- Provide a clear, frictionless permissions flow and a transparent privacy policy to build camera trust.
- Partner with a vendor that offers SDK-level integration so the experience matches existing brand design guidelines.
How this goes wrong
- Poor product image quality or inconsistent angles make virtual overlays look unrealistic and damage brand perception.
- High mobile latency or limited device compatibility leads to low adoption and negative user feedback.
- Incomplete product catalogue coverage means only a fraction of the range benefits, limiting ROI.
- Privacy concerns around camera access reduce customer willingness to engage with the feature.
When NOT to do this
Do not launch virtual try-on if your product catalogue lacks consistent, high-resolution imagery, the AI output will look unconvincing and erode customer trust faster than no feature at all.
Example vendors
This page describes an idea. It gives no budget or timeline: those depend on your company. The free diagnostic tells you which ideas fit your situation.