To take advantage of the next generation of AI tools, printers will need metrics that are more actionable, more detailed, and more closely tied to how work actually moves through the operation. This is the first article in a three-part series on preparing print operations for AI.
Today, faster cycle time is becoming the new lowest bid. Customers still care about price, but price is no longer the only thing shaping the buying decision. More often now, the first real question is, "How fast can I get it?"
When a shop wants to improve turnaround, the first instinct is usually to look at production. That makes sense. Faster devices, shorter makereadies, tighter schedules, and better throughput all sound like the obvious path to faster delivery. But if you have ever looked closely at how work actually moves through a print operation, you already know that the biggest delays often are not happening on the floor. In many shops, the real drag on cycle time happens before the press ever has a chance to become the bottleneck.
Once you accept that faster cycle time is the new lowest bid, the next question becomes practical: how do you actually build for speed? It is one thing to say customers value faster turnaround. It is another thing entirely to make that turnaround real inside the workflow. If speed is going to become part of the product you sell, then it has to be engineered into the process from the very beginning.
This blog post is the first of two stories illustrating common KPI/data problems and fixes.
This blog post is the second of two stories - Metrics That Drive Action, Story 2 Finding the Hidden Bottleneck. Here read about how QDirect software turned the "invisible queue" into actionable data.