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AI-Assisted Commerce / Visual Recommendation Prototype

Framelo — AI-Assisted Eyewear Recommendation & Preview Platform

An eyewear recommendation and visual preview platform that helps users discover frame styles based on a submitted face photo. Framelo demonstrates image-based intake, AI-assisted style recommendations, visual previews, product linking, and guided shopping flows.

Challenge

Online eyewear shoppers struggle to picture how a frame will look on their face and to narrow a large catalog to a short, relevant shortlist. Generic catalog search does not help, and overclaimed medical or optical fit would mislead customers.

Solution

We built a visual recommendation and preview workflow: customers submit a face photo, the system suggests frame styles based on image features and product metadata, and previews and product links are surfaced through a guided shopping flow. The experience is positioned as style recommendation and preview, not medical or optical fit.

Business value

  • Shorter time from browse to a relevant frame shortlist
  • Higher engagement through visual previews and personalization
  • Honest framing as style recommendation, not certified optical fit

Technologies

  • Image analysis
  • AI recommendations
  • Visual previews
  • Product matching
  • E-commerce UX
  • Personalization

Relevant roles

  • AI Integration Engineer
  • Full-Stack Engineer
  • Computer Vision Engineer

Next step

Discuss a similar project

We can adapt this pattern to your systems and provide the engineers to build it. Reach us at info@inovativi.com.