ML-driven waste prediction for improved quality and cost optimization
To reduce excess fines and maintain consistent cut quality, a leading tobacco processor partnered with Octopus Digital to implement a machine learning–powered prediction system focused on minimizing Pan% generation caused by moisture variability in lamina and stem.
Witness how Octopus Digital enables:
- Efficient plant data logging
- Digitized operator rounds
- Seamless checklist management
The details could change how you approach efficiency.
Ready to revolutionize your production?