Blue Yonder’s platform strategy highlights the value and complexity of linking supply-chain planning, decision intelligence, and execution.

NIST has released an expanded draft of SP 800-82r4 and is seeking public comments on updated guidance for managing cybersecurity risks across operational technology systems.

Examining the control architecture needed to make AI-supported logistics workflows dependable, governable, and auditable.

Examining how connected physical assets, real-time data, digital twins, and execution software are reshaping logistics architecture.

Germany’s industrial divergence highlights how capacity reductions and supplier stress can reshape supply-chain risk before demand recovers.

Decision intelligence is defined by its ability to improve consequential decisions and coordinate the resulting actions across supply-chain operations.

Modern warehouse operations require system-level orchestration across equipment, software, people, and logistics-network signals.

Global supply chains increasingly require optionality to operate through changing trade, technology, material, and energy constraints.

A systems-engineering approach helps logistics organizations turn competing priorities into deliberate enterprise decision rules.

As logistics becomes more automated and AI-driven, stronger cohesion across systems, processes, data, and decision structures becomes essential for coordinated operations.