Thursday, January 8, 2026 · Patricia Riedl and Paras Mehta
Autonomous fulfillment is transforming U.S. and global supply chains by connecting AI, robotics, digital twins, and agentic systems to execute orders faster, more accurately, and more resiliently amid labor shortages, cost pressure, and rising customer expectations.
Wednesday, January 7, 2026 · Senali Amarasuriya, Ph.D.
A proactive approach using Failure Mode and Effects Analysis can help the cocoa and candy industry reduce waste, improve product quality, and strengthen supply chain resilience through collaboration and innovation.
Wednesday, January 7, 2026 · Steve Tracey and Kusumal Ruamsook
The recent decade witnessed the rapidly evolving nature of autonomous trucking technologies, offering promises of improved logistics, inventory management, and customer service for supply chains.
Self-aware supply chains use AI, agentic systems and real-time data to move beyond visibility dashboards, enabling U.S. and global supply chain leaders to sense disruptions early, interpret conditions intelligently and take proactive action before risks escalate.
New research from APQC shows that while digital tools are widely adopted across supply chains, true end-to-end transformation remains elusive for most organizations.
Tuesday, January 6, 2026 · Korhan Acar, Steven Cunix, and Roy Kamar
Organizations that view logistics as an evolving system, rather than a fixed set of assets, position themselves to respond more effectively to these pressures and to capture the benefits that come with a more flexible and resilient network.
As Global Links welcomes a new editor, the focus remains clear: help supply chain leaders cut through the noise, harness AI and decision intelligence, and turn their supply chain operations into engines for growth and resilience.
Driving automation is advancing rapidly, yet the biggest challenges ahead have less to do with sensing the road and more to do with understanding the human behind the wheel. Human-aware automation will become one of the defining features for an elevated driving experience and…
AI, autonomy, and digital transformation are accelerating, but unless organizations build the skills to use them, supply chains will remain stuck in pilot mode.
AI-driven, explainable planning is emerging as a critical capability for U.S. supply chain leaders seeking to reduce decision latency, manage tariffs, and replace outdated S&OP models with collaborative intelligence.
As mid-market manufacturers head into 2026, competitive advantage will hinge on connecting supply chain flexibility, AI adoption, workforce reinvention, and M&A into a single, integrated resilience strategy.
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