Industrial AI in a multi-species abattoir with cutting and toll processing
A multi-species abattoir — pork, lamb, goat and beef — with a large cutting room and a toll-processing service for third parties runs several product flows through the same ERP: own production, orders from different clients, different species. Many of these systems already have the data model built for full traceability — animal origin certificate, ear-tag identification, per-batch quality control, GS1-128 logistics label — but in practice several modules sit empty or depend on extensive manual typing, because feeding them by hand is slower than the old paper habit.
IRIS lands in this reality with three complementary pieces: Connect captures what's lost today and automatically fills the ERP modules that already exist, Edge gives a second objective reading where human judgment varies, and Agents organizes the evidence so the next veterinary inspection or audit doesn't cost weeks. This page brings together the 12 canonical use cases landed on this sub-sector, grouped by block.
Capture without changing habits: photo, voice, email, integrations
The grading log with zero typing
Payback 4-9 months · from hours of latency to second zero
See the case →The chilling tunnel starts logging
Payback 5-10 months · controller replacement deferred
See the case →Toll-client changes read at once
Payback 3-7 months · shifts reordered before the crew is called
See the case →The cutting-room lead dictates while walking
No standalone payback · enabling piece
See the case →Two taps before the flows mix
No standalone payback · enabling piece
See the case →The quality module finally fed
Payback 3-8 months · a module already paid for, monetized
See the case →Origin certificate and ear tag by photo
Payback 3-8 months · 50-70 % fewer receiving licenses
See the case →The GS1-128 label fills itself in
Payback 3-6 months · twenty-plus fields down to one tap
See the case →Machine vision on the line, in real time
A second reading on the grading rail
Payback 5-12 months · grading stops depending on the shift
See the case →Species changeover validated by camera
No month range · sign-off backed by visual evidence
See the case →Every condemnation with its dossier
Payback 6-12 months · history ready before it is asked for
See the case →Agents that plan, document and coordinate
More cases from this series
- Paperless carcass grading logThe grader photographs the grading log and the carcass record already exists in the central system at…
- The chilling tunnel finally gets loggedAn external camera reads the chilling tunnel's temperature curve without touching the controller.
- Two taps before flows could mixNothing enters the ERP without a human seeing it first — prevents mixing own production and toll orders.
- The GS1-128 label fills itself inThe 20+ logistics label fields fill themselves in from the ERP's active batch.
- What's said between lines staysThe cutting-room lead dictates while walking between species and the AI structures, stores and replies…
- Origin docs and ear tag enter on their ownPhoto the health certificate and the ear tag: the animal traceability table fills itself in, ear tag…
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See food industry