Mixed-format lines, multiple SKUs per shift — changeovers spike the defect rate.
A CPG line runs several SKUs a day and one of them is always the new one. Changeover is where the labelling map, cap colour, and case-seal pattern diverge from the recipe the line was running an hour ago. The defect spike at changeover is predictable; catching it without slowing the line is not.
- 01Wrong-SKU label applied at changeover
- 02Cap colour mismatched to fill
- 03Case-seal pattern incomplete
- 04Tray count off at the packer
What our Consumer packaged goods-specific AI agents are pre-trained to detect out of the box.
- Microstop
- Material jam
- Faulty machine movement
- Faulty material infeed
- Incorrect spacing
- Flawed intake
- Stuck material
- Machine running empty
- Placement errors
- Buffer over/underflows
- Line blockage
- Misaligned product
- Tipped product
Automate your vision-based workflows in days, not months.
- 01
Define critical areas
Outline the zones that matter on each feed — the fill point, the exclusion area, the stacked output — so the agent watches exactly where loss and risk show up.
- 02
Define visual triggers
Start from our pre-trained trigger library or train your own. A single stream can run several triggers at once, each watching for a different event.
- 03
Define actions and escalations
Set how the agent responds — a dispatcher ping, a logged event, or a closed-loop stop — and chain those into escalation paths from first alert to full intervention.
Let's look at your line together.
We'll walk through a representative case from your industry on video. Specific answers to specific questions.