Developed by Yusen Logistics and branded Supply Chain Disruption Radar, the solution pulls in multiple streams of information at once. It combines international news and carrier alerts with operational data tied to specific shipments. The goal isn’t simply to collect more signals, but to translate events into a clear view of what they could mean for transport, orders, and the movement of goods.
From firefighting to early warning
In day-to-day use, the system is intended to surface threats to supply chain continuity earlier, including:
- port delays,
- disruptions along trade lanes,
- transport congestion,
- detour risk,
- issues triggered by conflicts or political tensions.
What matters most is linking those events to real freight. The tool checks which containers, purchase orders, or product groups may be exposed, then produces short, practical operational recommendations.
Yusen Logistics adds that the system has been integrated with its supply chain visibility platform, Yusen Vantage Performance, which customers use to track end-to-end flows.
Why predictability is now the priority
In recent years, logistics providers and forwarders have felt the impact of global instability more sharply. Disruptions around the Red Sea, heightened geopolitical tension, port capacity constraints, and infrastructure issues have all highlighted a growing gap in traditional transport planning—models built for “normal” conditions are increasingly falling short.
That’s one reason the industry is stepping up investment in:
- artificial intelligence,
- data analytics,
- risk prediction,
- real-time event monitoring.
Across these newer systems, the emphasis is shifting away from reacting after the fact and toward anticipating the impact of potential disruption earlier.
Turning noise into operational insight
One of the biggest challenges in supply chain management remains information overload—and the difficulty of judging which developments will actually affect a particular move.
Yusen Logistics says its new system is built to filter events and highlight only what is operationally relevant for a given customer or shipment. The AI estimates the likely impact on deliveries and provides practical guidance on steps that could reduce risk.
“Companies don’t just need more data—they need information that helps them make decisions with greater confidence,” says Irene Tung, head of Supply Chain Solutions at Yusen Logistics.
AI’s expanding role in supply chain management
The launch fits into a broader push to digitize logistics. More companies are trialing tools that combine operational shipment data with analysis of global events, disruption forecasting, and automated recommendations for transport and procurement teams.
The pressure to build more resilient supply chains is especially strong in sectors built around:
- just-in-time production,
- intercontinental transport,
- high-velocity goods,
- multi-stage supply networks.
Yusen Logistics operates in 46 countries and regions, with more than 748 locations and around 25,000 employees. The company provides services including international freight forwarding, contract logistics, and supply chain management.
From pandemics and geopolitical shocks to port bottlenecks and sudden regulatory moves, disruption has become a routine part of global supply chains.
