Moving from more data to better decisions: focus on one problem, design a small loop, and let AI suggest changes that a human can verify.
# Data-Driven Production Optimization
Plants collect plenty of data yet still decide by habit. The shift to data-driven improvement starts with one question: which metric will we move this month. It could be waste on a format change, film tension stability, or energy per unit. Build a simple dashboard, define a baseline, and let a recommendation model propose setpoint changes. The model does not need to be complex. What matters is that the operator can understand why it is making a suggestion.
## Operational loop
Review results weekly, keep a changelog of setpoints, and retire rules that no longer help. Over time small, verified adjustments compound into a steadier line and fewer surprises.