Framelo — AI-Assisted Eyewear Recommendation & Preview Platform

Context

Online eyewear shoppers abandon large catalogs because they cannot judge style and fit from product photos alone. A visual, guided shortlist changes that — without drifting into medical or optical claims.

Problem

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.

What was built / modernized

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.

Workflow highlights

• Face-photo intake with image-feature extraction
• AI-assisted style shortlists built from catalog metadata
• Visual previews and product linking inside a guided shopping flow

Security, auditability & governance

• Positioned as style recommendation, never medical or optical fit
• Photo handling scoped to the recommendation flow

AI-ready extension points

• Conversational style guidance over the catalog
• Preference-aware recommendations across sessions with explicit consent

Value delivered

• 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

Relevant roles