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First-time day at Faire

Recover hero-image clicks while the seasonal catalog is live

You’re the ai / ml engineer. Your team is in the room. Printed Oct 19, 2026.

The fastest image correction could trade broad relevance for clearer products.

Retailer evaluation needs visible products now, while the catalog needs a rule that does not distort image selection elsewhere.

Who you’d be doing this for

“Our new collection is live, and retailers keep asking why the first photo barely shows the product.”

Marios Economou · Wholesale Sales Manager

Manages a home-goods brand’s catalog and retailer acquisition through marketplace listings.

What is at stake

Affected listings are drawing 11% fewer clicks after lifestyle images displaced clear product shots. You must weigh a targeted ranking correction against the risk of changing image selection beyond the damaged segment.

Why it isn’t already fixed

Every obvious fix costs something else. That’s the part you’d have to decide.

  • seasonal recovery vs. ranking generalization
  • clear product visibility vs. brand presentation
  • fast release vs. inference safety

Why Faire

Hero images shape discovery across search, recommendations, and product detail pages for brands selling wholesale.

Written with these in mind

computer vision ML engineerranking scientistapplied ML generalist

Not your kind of problem? 33 more at Faire, or browse every organization.

This is the setup. The work is inside.

Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.