Resources

Case Studies

Real-world results from pallet companies using PalletVision to gain production visibility, eliminate manual data entry, and improve throughput.

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From Zero Visibility to Real-Time Data Across Four Operations

City Pallets repurposed their existing surveillance cameras into a full AI-driven productivity system. Six months in, they have accurate real-time counts across dismantling, trim saws, repair stations, and custom build — with manual data entry eliminated entirely.

Operations Monitored

Eliminated

Manual Data Entry

None

New Infrastructure

6+ months

In Production

“We now have reliable, real-time production data across multiple operations, giving us much stronger visibility into overall performance.”
Nik Bojovic — General Manager, City Pallets

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Deployment Scenarios

Common implementation patterns across pallet operations.

Repair Station Throughput Tracking

Daily output reporting moved from manual shift logs to live dashboard updates.

Connected existing repair-line cameras and configured event zones.
Implemented line-level production timeline and downtime markers.
Supervisors gained shift visibility without waiting for end-of-day reports.

Dismantling Line Visibility Rollout

Operations team identified recurring idle windows and improved utilization.

Onboarded RTSP feeds from dismantling line CCTV cameras.
Calibrated model events to match actual dismantling workflow stages.
Used trend views to schedule staffing around peak and low periods.

Nailing Line Bottleneck Detection

Managers flagged and resolved repeated slowdowns near handoff zones.

Configured entry and completion zones around nailing workstations.
Benchmarked output targets by shift and compared to live event rates.
Used dashboard and timeline evidence during operations reviews.

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