Faire
AI / ML EngineerComplexAug 6, 2026

Optimize viable substitutes under wholesale constraints

A substitute can preserve an order only when it respects the buying decision behind it.

More replacement options can reduce disruption, while weak equivalence can create a second failure after the first.

If the replacement blows my budget or comes in the wrong case pack, it doesn’t solve anything.

Timo Rasmussen · Co-owner, Specialty Food Shop

A retailer replacing an unavailable item without breaking a planned display, margin, or case-pack plan.

What pulls against what

  • recovered order value vs. commercial fit
  • learned relevance vs. hard constraints
  • seasonal speed vs. reviewability
  • coverage expansion vs. downstream cancellations
  • automation scale vs. customer trust

What is at stake

A poor substitute turns an availability problem into an order-cancellation problem. A trusted model can retain purchases without pushing unsuitable inventory

Why Faire

Wholesale orders often carry pack, price, and supplier constraints that make product similarity an incomplete definition of replacement.

Written for

Applied ML engineerDecision systems engineerMarketplace ranking engineer

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.