AI vision inspection app for Loendersloot
AI vision app automating beverage logistics inspections with 100+ features per scan, processing 3,500 monthly inspections.
Loendersloot Group
Loendersloot Group, a major player in beverage logistics, needed to automate their quality inspection process for incoming and outgoing shipments. Manual visual inspections were slow, inconsistent, and couldn't scale with growing volumes.
Beverage logistics inspections require checking label integrity, fill levels, cap conditions, packaging damage, and dozens of other quality parameters. Human inspectors were inconsistent, fatigued during long shifts, and couldn't match the throughput needed. Quality issues that slipped through caused costly returns and damaged client relationships.
What SevenLab built
SevenLab developed a computer vision inspection system that captures and analyses 100+ quality features per scan, running continuously without fatigue or inconsistency.
Multi-feature detection
Analyses 100+ quality parameters per product including labels, fill levels, caps, and packaging.
Real-time processing
Inspections happen at line speed, never slowing down production throughput.
Defect classification
AI categorises defects by type and severity, enabling smart routing decisions.
Quality analytics
Dashboard tracking defect trends, supplier quality metrics, and improvement opportunities.
Measurable business impact
The AI vision system processes 3,500 monthly inspections with 99.2% accuracy, catching defects that human inspectors routinely missed. Quality-related returns dropped significantly, and inspection throughput now scales effortlessly with volume increases.
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