When our plant engineering team first proposed integrating generative AI into our procurement workflows three years ago, I was skeptical. We had just completed a painful ERP migration, our supplier base was still adjusting to new EDI protocols, and the last thing production scheduling needed was another technology disruption. Yet what unfolded over the following months taught me more about modern procurement transformation than a decade of incremental process improvements ever could. The journey from resistance to adoption revealed critical insights that every manufacturing operations leader should understand before embarking on their own AI procurement initiatives. The catalyst for change came during a particularly brutal quarter when semiconductor shortages cascaded through our entire BOM structure. Our traditional procurement approach—built on historical spend analysis and periodic supplier reviews—proved inadequate for the volatility we faced. That's when we began seriously exp...