In a recent discussion, Bill Foy, Director and APJ Automotive Sales Leader at Amazon Web Services (AWS), highlighted the critical role of artificial intelligence in modernizing supply chains. According to Foy, 94% of companies have experienced supply chain disruptions, often due to legacy systems that lack real-time visibility.
“Whether it’s a port strike, an earthquake, or a natural disaster, most companies don’t even know a problem exists until it’s downstream,” Foy explained. This fragmented data landscape poses a particular challenge for original equipment manufacturers (OEMs), who must stitch together information from disparate sources to maintain operations.
AWS is addressing these issues by offering AI-driven solutions that provide end-to-end visibility and predictive analytics. By integrating machine learning models with existing enterprise systems, companies can detect disruptions early, optimize inventory, and automate decision-making. Foy emphasized that moving away from legacy infrastructure is not just an IT upgrade but a strategic imperative for resilience.
“Modernizing with AI isn’t about replacing people—it’s about empowering them with data they can trust and act on in real time,” he added. As supply chains grow more complex, AWS’s focus on AI-powered modernization aims to reduce downtime and improve agility across industries, especially in automotive manufacturing.