Productive Shift Hours
AI insights for maximizing workforce efficiency
AI insights for maximizing workforce efficiency
Our Productive Shift Hours solution uses AI and computer vision. It is to analyze workforce activities during their shift hours. It tracks idle time, phone usage, and away time. It provides insights to enhance workforce productivity monitoring and operational efficiency in industrial settings.
Unmonitored idle time periods lead to decreased efficiency and reduced overall productivity. This happens without effective workforce productivity tracking
Our employee activity monitoring system identifies and tracks idle time across workstations and alerts managers. It is to address inefficiency promptly.
Frequent phone usage during shifts disrupts the workflow and can be risky in some cases.
AI-based object detection monitors phone usage and helps maintain workforce productivity and safety.
Shift hours optimization helps account for time away from workstations by minimizing disruptions and safeguarding output.
Get notified in real-time and monitor employee presence. You can minimize disruption and maintain workflow consistency.
Without real-time workforce analytics, Identifying and addressing productivity issues is next to impossible.
Gain real-time visibility into workforce activities with live monitoring and actionable insights.
Monitoring the productivity of the workforce is important in many industries. This is because it impacts production and costs. Hence, many stakeholders benefit from it.
We analyze your existing cameras and monitoring setup to integrate our solutions seamlessly.
Train the AI model to detect specific activities that can affect the productivity of the workforce.
Enable 24—7 monitoring of the activities with real-time alerts for unproductive activities.
Program to generate insights that help refine workflow, improve shift planning and maximize productivity.
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7:45AM at a busy automotive parts manufacturer. A delivery truck arrived at the dock. Usually, supervisors would take 10 minutes to scan paperwork. They’d also be keying in data. Instead, a camera quietly recorded the container ID, logged upon its arrival. And it tagged the shipment to a specific production line. All without a single […]
CEO & Co-founder
It’s 2:14 PM at a busy CFS gate. A trailer rolls in. The container is old, dusty and sun faded. The number is readable, but only if you look closely. The driver wants to move fast. The queue behind him is growing. The gate operator does what they have always done. Reads the container number. […]
CEO & Co-founder
Modern logistics depend on speed. Accuracy and visibility keep logistics moving. Across container yards and CFS hubs… teams still face blind spots. They rely on manual checks and delayed data. This leads to missed damages and inefficient movement of assets. Logistics teams can see clearly by combining cameras with computer vision. They can understand and […]
CEO & Co-founder
