Sarah Tyler

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...

In the fast-moving consumer goods industry, procurement has evolved from a transactional function into a strategic capability that directly impacts gross margin return on investment and competitive positioning. With mounting pressure to optimize trade spend, improve promotional lift, and enhance supply chain agility, FMCG companies are turning to artificial intelligence to transform how they source, negotiate, and manage supplier relationships. The complexity of managing thousands of SKUs across multiple distribution channels while maintaining velocity and market share demands a procurement approach that goes beyond traditional methods. The transition to AI in Procurement requires careful planning and systematic implementation. Companies like Unilever and Procter & Gamble have demonstrated that success depends not on technology alone, but on a holistic approach that addresses organizational readiness, data infrastructure, process alignment, and stakeholder engagement. This compreh...