AI-assisted cutting optimization for leather

The aim was to reduce material waste in the expensive cutting of high-grade leather hides for automotive interiors. The experienced cutting masters had an uncodifiable instinct for spotting subtle grain flaws and natural hide defects.

We integrated a tightly bounded machine-learning algorithm for pattern nesting into the digital cutting tables. The AI suggested optimal geometric layouts, but the web interface gave the masters full freedom to adjust, override or redraw boundaries based on their physical inspection of the hide.

Raw-material waste fell noticeably, without handing over the craft's control.

The AI caught on quickly as an accelerating aid, precisely because human skill kept the final veto.