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AI USE CASE

Virtual Try-On for Fashion Retail

Let shoppers visualise clothing and accessories on themselves before buying, reducing returns.

Typical budget
€40K–€200K
Time to value
16 weeks
Effort
12–32 weeks
Monthly ongoing
€2K–€10K
Minimum data maturity
intermediate
Technical prerequisite
some engineering
Industries
Retail & E-commerce
AI type
computer vision

What it is

Computer vision and generative AI overlay garments, accessories, or makeup onto a live or uploaded customer image in real time. Retailers typically see return rates drop by 20–35% and conversion rates lift by 10–25% for try-on-enabled products. 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.

Vendors to consider

Sources

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