AI in Supply Chain
Daily updates on how AI technologies impact supply chain planning, operations, performance, and MORE.
Traditional Maturity Frameworks Struggle with Modern Volatility
Supply chain risk management maturity models have provided industry benchmarks for decades, guiding ...
The Three-Stage Journey from Decision Support to Autonomous Operations
Supply chain executives face competing narratives about AI agents. Vendors promise self-driving supp...
Why Traditional Support Models Fail in Complex Supply Chains
Supply chain customer service teams face an impossible task: answer questions that require simultane...
Supply Chain Fragility Persists Years After Pandemic Disruptions
The COVID-19 pandemic revealed something supply chain executives had quietly known but rarely acknow...
Computer Vision Transforms Operational Safety
Computer vision technology has evolved from specialized surveillance tool to operational safety infr...
AI-Driven Cyber Threats Force Transportation to Rethink Security as Operational Resilience
The transportation sector faces the most complex cyber threat environment in its history. What once ...
Data Access Wars Signal Major Shift in AI Supply Chain Economics
The legal landscape surrounding data access for AI systems is undergoing a fundamental transformatio...
AI Transforms Supply Chain Due Diligence From Sample-Based to Comprehensive Risk Detection
The pressure on global enterprises to maintain transparent, compliant supply chains has never been h...
Why Linear Supply Chains Can't Survive Modern Disruption: The Case for Network Models
The linear supply chain model—optimized exclusively for cost, speed, and sequential handoffs—has rea...
AI in Logistics: Separating Real Results From Overhyped Promises in 2025
Artificial intelligence dominated supply chain conversations throughout 2025, but the gap between pr...