Supply chains rarely fail because someone made a bad decision. More often, it’s because the right decision came too late. In an industry designed around scheduled cycles and siloed systems, speed isn’t just about trucks on the road; it’s about decisions aligning with reality.
This is where agentic artificial intelligence enters the conversation. While some regard it as the latest tech buzzword, its relevance is anything but theoretical. For the first time, we have the tools to dismantle the timing gaps and coordination breakdowns that have plagued supply chains for decades.
