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machine viewenglishraw: /cases/animal-protein.mdbuild: d68074d2026-08-05T14:02Z

Case study — Animal protein

A company in the animal-protein industry is building a marketplace for meat sales. It can walk into an investor room with a working product: a slaughterhouse that ran the pilot, sellers who used it, buyers who responded.

200 Carcasses a day at the pilot facility · 1 Field-validated pilot · 2 Squads running in parallel

The first slaughterhouse partner processes 200 carcasses a day and sells to butcher shops, supermarkets, and restaurants across southern Brazil. The entire sales operation ran through a small team making calls, sending carcass photos over WhatsApp, and pushing weekly promotions by hand.

Shipped

Carcass marketplace: Live storefront with photos, prices, and orders. No more back-and-forth

Controlled inventory model: Buyers see carcasses; the slaughterhouse keeps allocation control

AI quality-analysis system: OAK-1 devices analyze each carcass’s quality and feed the storefront

Internal operations layer: Stock, order flow, and allocation rules the internal team runs day to day

Related offering: [AI in the Operation](https://bleu.builders/offerings/ai-transformation/)

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Animal protein · FIELD-VALIDATED PILOT

Animal protein

A company in the animal-protein industry is building a marketplace for meat sales. It can walk into an investor room with a working product: a slaughterhouse that ran the pilot, sellers who used it, buyers who responded.

200

Carcasses a day at the pilot facility

1

Field-validated pilot

2

Squads running in parallel

The problem

The first slaughterhouse partner processes 200 carcasses a day and sells to butcher shops, supermarkets, and restaurants across southern Brazil. The entire sales operation ran through a small team making calls, sending carcass photos over WhatsApp, and pushing weekly promotions by hand.

Growth would multiply the same manual sales work
Photos and deals scattered across conversations made every buying decision harder
Returns had a 3-day window to be resold
An open marketplace would take inventory allocation away from the slaughterhouse

Our role

The request was a marketplace with AI quality analysis of carcasses. We went to the slaughterhouse first; then we built the minimum that answers the question. Bleu ran the field research, split the work into two decoupled squads, and took validation to real buyers while the founders were deep in fundraising.

What changed

The marketplace went live first, on team-uploaded photos, while the quality-analysis AI advanced in parallel. The result is a working pilot, validated with sellers and buyers in the field.

  • Pilot live: a working slaughterhouse, its sellers, and its buyers
  • Marketplace validated while the quality-analysis AI was still training
  • Usability findings changed flows before the full build, not after

Much of what was interviewed, we already knew from our own experience of practically 10 years in this market, but it hadn’t been put on paper. It brought very interesting insights. I am very satisfied with the entire process, with how you engaged and dove headfirst into this project.

Client

Animal protein

FIELD-VALIDATED PILOT

What we've shipped

The marketplace launched without waiting for the quality-analysis model.

Carcass marketplace

Live storefront with photos, prices, and orders. No more back-and-forth

Controlled inventory model

Buyers see carcasses; the slaughterhouse keeps allocation control

AI quality-analysis system

OAK-1 devices analyze each carcass’s quality and feed the storefront

Internal operations layer

Stock, order flow, and allocation rules the internal team runs day to day

Areas we run

FIELD VALIDATION FIRST

Week one happened at the slaughterhouse, not in a planning doc.

Go to the operation

One week inside the facility watching the process happen: loading trucks, choosing carcasses, handling orders. Interviews with the internal team, sellers, and end buyers; route data, order history, and the full catalog collected before agreeing to a plan.

  • Fieldwork before any build plan was agreed
  • The storefront tested with butcher shops and supermarkets
  • Flows changed before committing to the full build

TWO SQUADS, DECOUPLED

The marketplace could not wait for the AI to train.

Split and decouple

One squad on the AI system that analyzes carcass quality, one on the marketplace. The MVP launched on founder-uploaded photos so buyers could use the storefront while the model was still in training.

  • Marketplace validation decoupled from AI training entirely
  • OAK-1 devices and automatic quality analysis feeding the storefront
  • Buyers browse carcasses without locking a specific one

RELATED OFFERING

See how Bleu structures this kind of work

The case shows what happened in one partnership. The offering explains the entry point, scope, and first delivery.

See the offering: AI in the Operation

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