Pallet Repair
Using AI Vision
The Challenge
Pallet manufacturers lack real time visibility into Repair station production and inaccuracies are inevitable when tracking them manually.
Inaccurate Pallet Counts
When operators or forklift drivers are manually counting pallets, they are often miscounted leading to inaccurate data.
No Real-time Production Visibility
Supervisors and management have limited insight on how the current production values scale up against target goals.
Lack of Performance Data
Pallet size and repair time data is near impossible to capture manually at scale, which is data necessary to analyze operator performance and material quality.
The Solution
Zira! Our AI cameras can be mounted in minutes, use regular 110v power, and have automated connectivity that makes setup simple. Within hours, you have real-time repair station operational data flowing and available via phone, tablet, computer, or TV monitor.
Popular data and metrics captured for repair stations include:
Pallet Counting and Classification
(Size, Measurement, Color)
Pallet Process Time Analysis
Downtime Tracking
OLE Tracking (Overall Labor Effectiveness)
Key Benefits
Accurate pallet counts
Compensate and motivate fairly while keeping a better handle on inventory.
Real-time production visibility
Know how well your plant is running at any moment, whether you are onsite, at home, or gone fishing.
Maximize productivity with real-time alerts
Zira works as a digital manager, alerting your supervisors and technicians the moment you fall behind so you can proactively solve problems and get back on track.
New performance data
Automated capture of pallet count, size, and repair process time gives you powerful new data to understand operations and make informed decisions.