Introduction

Artificial intelligence is only as powerful as the data behind it.

As AI moves into real-world operations, one truth is clear: better outcomes require better data. For corrugated and folding carton manufacturers, success won’t come from adopting new tools alone, but from improving the quality, accuracy, and accessibility of operational data.

The industry is at a turning point. After years of pilots, 2026 is set to be the year AI becomes operational. The question is no longer if AI matters, but whether organizations are ready.

At Amtech Software, alongside QuadrantFive (Q5), we help manufacturers navigate this shift by combining industry expertise with advanced AI capabilities to drive measurable improvements.

The key insight: AI doesn’t replace operational fundamentals, it amplifies them. Leading manufacturers are strengthening people, processes, and systems now to drive immediate gains and prepare for AI-driven optimization.

Operational Insight: Production Optimization Starts with Changeovers

 The Hidden Cost of “Normal”

Changeovers are unavoidable in multi-product manufacturing. As companies grow, they become more frequent and complex—and over time, this becomes normalized, but this “normal” creates hidden costs including reduced capacity, lower throughput, and increased labor demands. These inefficiencies often go unnoticed, resulting in “hidden utilization leakage.”

Smarter Planning Reduces Changeover Intensity

Schedulers balance competing priorities like due dates, inventory, labor, and constraints. These priorities that shift daily. No human can optimize all variables in real time.

AI and machine learning solve this by evaluating multiple constraints simultaneously and generating optimized production plans. This improves sequencing and significantly reduces planning time.

Some sheet plants report up to:

  • 80% reduction in scheduling time
  • Improved throughput
  • Better on-time-in-full (OTIF) performance

Better Execution Reduces Changeover Duration

Planning alone isn’t enough. Execution is critical.

One manufacturer working with Q5 improved performance by redesigning job preparation using lean principles from the Toyota Production System.

Their approach: “One Cart, One Job” (1C1J)
All tools, materials, and components were prepared in advance on mobile carts, reducing wasted motion and ensuring readiness.

Results included:

  • 50% reduction in setup time
  • $200,000 in annual savings
  • Improved consistency and efficiency

Why This Matters Now

Optimizing changeovers delivers immediate benefits:

  • Increased production capacity
  • Higher throughput
  • Reduced labor and overtime
  • No additional capital investment

Just as importantly, it creates the foundation for AI. Standardized processes and optimized scheduling generate the clean, structured data AI systems require.

Takeaway

AI-driven manufacturing starts with strong fundamentals, not algorithms. Manufacturers that improve operational discipline today gain immediate ROI while positioning themselves for future AI value.

Amtech Software and Q5 combine expertise and technology to help manufacturers move forward with confidence.

Explore the bigger picture

For readers who want to explore this topic in more depth, read our whitepaper that takes a closer look at how operational discipline and data readiness shape manufacturing performance and why they are critical foundations for the next wave of AI-driven optimization.