Kaleris cuts gate processing time to under 60 seconds with AI vision system
Kaleris unveiled an AI-powered gate automation system for its Yard Management System at MODEX 2026 in April. The computer vision technology automates truck, container, and license plate identification at logistics and manufacturing facilities, cutting manual gate processing from 3-7 minutes to under 60 seconds.
Gate operations represent a critical bottleneck in supply chain operations. Managers at distribution centers and manufacturing yards deal with repetitive manual checks, paperwork delays, and data entry errors that compound across hundreds of daily vehicle movements.
What the system does
The solution uses optical character recognition to capture vehicle and container data without stopping trucks. High-resolution 360° cameras detect physical damage and hazardous material labels. Edge AI processing validates data in real time rather than requiring backend review.
The system integrates directly with Kaleris YMS, automating downstream workflows and eliminating manual handoffs between gate staff and yard operations teams.
Measurable results from early deployments
Early adopters report 20-40% increases in dock throughput. Asset tracking accuracy reached 99%, and detention fee recovery improved by up to 30%. The efficiency gains translate to an 85% reduction in per-vehicle processing time.
- Dock throughput: 20-40% increase
- Data accuracy: 99% in asset tracking
- Detention fee recovery: Up to 30% improvement
Kaleris CEO Kirk Knauff said the system represents "a meaningful step forward in modernizing yard operations." The company positioned the tool as addressing one of supply chain management's most persistent friction points.
For operations managers, the value centers on three areas: reducing congestion at entry and exit points, improving accuracy in asset condition documentation, and freeing yard staff from repetitive gate duties to focus on higher-value work.
Learn more about AI Agents & Automation and AI for Operations to understand how these technologies apply across supply chain functions.
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