Supply chains detect fast, act slow: How AI agents fix it

Businesses faced losses of about $184 billion in 2025 due to supply chain disruptions, as reported by the J.S. Held Global Risk Report. While this cost is often viewed as a natural occurrence, it highlights an operational model capable of early problem detection, yet still reliant on human intervention for action. Despite advancements in visibility platforms, control towers, and digital twins that enhance problem detection speed, the gap between awareness and commercial action remains significant. For instance, while a heat map can indicate shipment delays, decisions on how to address these delays still require human input.