BrazilFood and restaurants2022 – ongoingMinerva Foods
AI projects in industrial operations, including carcass grading cameras and demand forecasting
Minerva Foods ran 41 AI projects since 2022, with carcass grading cameras analysing one carcass every 0.8 seconds
Problem
Minerva handles commodity volumes in meat processing that call for fast carcass evaluation and accurate demand prediction.
Approach
Minerva built AI projects across its operations. Cameras grade carcasses, and predictive models support demand forecasting, which CTO Roberto Stern called essential for its volumes.
Results
Takeaway
The company gives counts and speed but no cost or yield figures. Other accuracy numbers in the article come from an academic meat-quality study, not from Minerva's systems.
Categories
- Size
- Large enterprise
- Industry
- Food and restaurants
- Business function
- Production and qualityLogistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Computer visionPredictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
An article on Minerva's site reports that the company has implemented 41 AI projects since 2022 and that its carcass grading cameras average one analysis every 0.8 seconds. It also covers demand prediction and an unrelated academic study on meat quality.
Full details are in the original sources.
