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Complex day at Faire

Decide which duplicate listings to merge without burying real variants

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

The catalog refresh needs fewer duplicates without erasing real product variants.

Retailer discovery protects against repetition, while brands need legitimate colors, sizes, and bundles to remain findable.

Who you’d be doing this for

“A retailer searched our line yesterday and saw three copies of one serum, then missed the travel set entirely.”

Korku Ayodele · Wholesale Sales Manager

Runs catalog operations for a beauty brand with closely related shade and bundle variants.

What is at stake

Duplicate impressions have risen to 18%, but a false merge can bury a legitimate product variant after the refresh. You must weigh cleaner search results against the costly uncertainty in model-generated matches.

Why it isn’t already fixed

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

  • search de-duplication vs. variant preservation
  • refresh deadline vs. audited precision
  • automated coverage vs. human verification
  • retailer discovery vs. brand recourse

Why Faire

Catalog quality determines whether millions of product listings can be found and evaluated by independent retailers.

Written with these in mind

entity-resolution specialisttrust-and-quality ML engineerapplied ML scientist

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.