AI in meat has moved past the demo
Two years ago it was a chat window and a room full of nodding. Now it runs before 8 a.m., and nobody thinks about it.
JordanOsaka
Two years ago, AI in our industry meant a demo. Someone from a software company opened a chat window, typed a question about pork prices, and the answer appeared in a few seconds. Everyone in the room nodded. Then they went back to their desks and typed the morning’s orders into the ERP by hand, the same as the day before.
That was not anyone’s fault. The demo was impressive, but it lived in a different place from the work. The work lived in an inbox with four hundred unread emails, in WhatsApp groups with buyers in five countries, in a spreadsheet that one person understood. A chat window on the side did not touch any of it.
In late 2026 the picture is different. On the desks we work with, AI is no longer something people try. It is something they use before 8 a.m., often without noticing. The order from Verona is already in the system when the trader sits down. The price list went out at 06:58. The reminder to the buyer who is ten days late is drafted and waiting for a yes.
What actually changed
The models got better, and that matters. They read handwriting on a scanned CMR. They understand that “2 camion spalla” is two trucks of shoulder. They switch between Polish and Italian in the same thread without being asked.
But the bigger change is where AI sits. It moved out of the chat window and into the places where the work already happens: the inbox, WhatsApp, the ERP, the coldstore system. Nobody has to remember to open a new tool. The work simply arrives half-done.
That sounds like a small shift. It isn’t. A tool you have to open is a tool you forget on a busy Monday. A tool that is already inside your inbox is one you never have to think about.
Where it works today
After two years of watching it on real desks, the pattern is clear. AI earns its place in three kinds of work:
- Reading messy input. Emails, PDFs, voice notes, photos of paperwork, in any language. This is the part of the meat trade that never fitted into software, and it is where AI is strongest.
- Matching. A product name to the right spec, a company name to the right company, a payment to the right invoice. Boring, constant, and easy to get wrong when you are tired.
- Drafting. Offers, reminders, documents. A first version, ready for a person to read and send.
Where it doesn’t
Deciding. Prices, credit limits, which buyer gets the last truck of collar this week. Anything that moves money or speaks in the company’s name still belongs to code and to people.
The companies doing well with AI drew that line early and kept it. The ones that struggled let a model guess at a price, or send a message nobody had read. It only takes one wrong invoice for a team to stop trusting a tool, and trust is slow to come back.
What’s next
The demo phase is over, and honestly, good riddance. What is left is the less exciting, more useful part: doing it every day, measuring what it saves, and moving to the next piece of work only when the last one is solid.
That is not a story that fills a conference hall. But it is the story we see on desks from Poznań to Verona, and it is the one that pays.
