AI in Supply Chain
Daily updates on how AI technologies impact supply chain planning, operations, performance, and MORE.
Why Most Retail AI Strategies Fail to Capture Enterprise Value
Retail and consumer goods companies recognize AI's power to transform demand forecasting, supply cha...
Why Linear Supply Chain Models Fail in Dynamic Markets
Traditional supply chains built on rigid, linear models cannot meet the flexibility and responsivene...
Reflexive AI is the New Procurement Innovation
Procurement leaders have endured years of promises that technology would make operations more straig...
Why Data Chaos Undermines Industrial Manufacturing Performance
Industrial supply chains generate massive data volumes across procurement, production, logistics, an...
Why Model Artifacts Represent a Distinct Attack Vector
Malicious AI models are weaponized artifacts designed to execute harmful actions when loaded or depl...
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...