Your clients don't remember the 99 perfect shipments. They remember the one that got flagged.
Computer vision inspection for Amazon prep centers. Automatically detect dents, deformations, wet boxes, and label issues—before your shipments get flagged.
Every Amazon rejection costs you $50-200 in immediate losses—re-prep labor, return shipping, rush replacement costs. But the real damage runs deeper: each rejection puts your client relationship at risk.
QC staff fatigue leads to missed defects after 4-6 hours
Training new inspectors takes 2-3 weeks
Inconsistent standards between shifts
No timestamped photo documentation when disputes arise
AutomateQC uses computer vision to inspect every box on your line—catching the defects that cause Amazon rejections before they leave your facility.
Detects dents, crushes, and structural deformations instantly.
Identifies water damage, staining, and surface issues.
Checks for missing, damaged, or unreadable labels.
Every inspection generates timestamped photo evidence for dispute resolution.
We're deploying with 1-3 prep centers starting Q1 2026.
We're currently in development with pilot deployments planned for Q1 2026. Pilot partners will be first to deploy.
We're finalizing pricing based on early partner feedback. Our target is to ensure the system pays for itself within 3-6 months through rejection savings alone.
Yes. The system handles varying box dimensions without reconfiguration.
The system flags the box and captures photo documentation. Your team decides whether to rework or reject - it doesn't auto-stop your line.
We work with you to adapt the system to your line. Our founders have experience integrating vision systems into diverse manufacturing environments.
We're looking for facilities processing 5,000+ boxes/month with quality control challenges. High-volume operations will see the fastest ROI.
Book a 30-minute call to discuss your prep center's quality challenges and see if AutomateQC is a fit.