← Faire
Something new at Faire

Surface domestic brands without turning search into a country filter

You’re the ai / ml engineer. Your team is in the room. Printed Oct 15, 2026.

Domestic sourcing intent is rising faster than the catalog can explain which brands fit a store.

Retailers need narrower choices while new brands need discovery beyond broad country-of-origin filtering.

Who you’d be doing this for

“I spent my whole Monday opening listings, and I still couldn’t tell which brands actually fit my shop.”

Murat Aoun · Independent Retail Store Owner

She buys seasonal inventory for a specialty home-goods shop and is reassessing suppliers as tariff exposure changes.

What is at stake

Retailers are opening many listings for domestic sourcing and leaving without an order. You must weigh a useful personalized collection against relevance, latency, and what the catalog can reliably support.

Why it isn’t already fixed

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

  • personalized sourcing help vs. trustworthy catalog evidence
  • new-brand discovery vs. search focus
  • retrieval coverage vs. serving latency
  • fast experimentation vs. durable evaluation criteria

Why Faire

Search and discovery determine whether independent retailers find new brands before they source through a brand’s own wholesale storefront.

Written with these in mind

retrieval and ranking builderapplied ML experimentermarketplace personalization engineer

Not your kind of problem? 19 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.