Your busiest shift is already running at full capacity. Adding more people means more recruiting, more training, and more variables you can’t control. Peak season doesn’t wait. The throughput ceiling most operations hit has nothing to do with floor space or equipment age. It’s a labor math problem. When one missed shift or one slow […]
Your busiest shift is already running at full capacity. Adding more people means more recruiting, more training, and more variables you can’t control. Peak season doesn’t wait.
The throughput ceiling most operations hit has nothing to do with floor space or equipment age. It’s a labor math problem. When one missed shift or one slow temp can knock 15% off your daily output, you don’t have a throughput problem. You have a dependency problem.
Robotic piece picking breaks that dependency.
CMES AI Robotics piece picking systems run at 650 picks per hour on mixed SKUs. That number doesn’t change based on who called in sick. It doesn’t slow down after hour six. And it doesn’t require reprogramming when a new SKU enters the mix — the AI vision system identifies items it’s never seen before and adjusts in real time.
The math is simple. One robotic automation cell, running two shifts, delivers consistent throughput your labor headcount can’t match. Three cells, one monitoring operator. Output is predictable. Cost is fixed.
If your operation is scaling order volume but can’t scale headcount fast enough to keep up, the problem won’t solve itself.
See how CMES robotics fits into your workflow at piecepicking.com
or reach out to info@piecpicking.com
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