Disruption analysis, traceability strategy, and how AI is changing procurement. Written by practitioners for practitioners.
The semiconductor shortage taught the industry a hard lesson about tier-2 dependencies. Here's why the problem persists and what to do about it.
Every import shipment leaves a paper trail. We explain how trade data can reconstruct tier-2 and tier-3 relationships without supplier disclosure.
We analyzed 340 supply disruption events over 18 months. The data on how early warning time changes outcomes is striking.
How GNNs can infer supply relationships from trade co-occurrence patterns — and what makes this problem technically different from standard link prediction.
After years of chip shortages and logistics disruptions, leading automotive OEMs have restructured their supply chain visibility programs. What's working.
Single-source suppliers aren't inherently high risk. The risk is not knowing which of your tier-2 dependencies have only one viable supplier in the world.
AIS vessel position data contains disruption warnings 3-6 weeks before they show up in your supplier's delivery alerts. Here's how to read them.
Buying a new visibility platform is the easy part. Getting procurement teams to act on its signals is harder. A practical integration playbook.
Semiconductor packaging and substrate supply is highly concentrated in a small number of facilities. Electronics manufacturers need to know their exposure now.
Relational databases model supply chains as flat lookup tables. Graph databases model them as what they actually are: deeply connected dependency networks.
Most supplier scorecards measure financial health and delivery performance. They miss the structural risks hiding in network position and geographic concentration.
Supplier failure, port disruption, geopolitical restriction, natural disaster — each type of disruption requires a different early warning strategy and response playbook.
