Artificial Intellgience

Why a secure industrial supply chain depends on layered AI

Tuesday, March 24, 2026 · Subo Guha Layered artificial intelligence combined with behavioral data and network detection strategies is becoming essential for securing modern industrial supply chains against increasingly sophisticated, AI-enabled cyber threats.

‘Physical AI’ is transforming warehouse operations beyond traditional visibility

Friday, March 20, 2026 · Brian Straight Warehouse physical AI is closing the long-standing gap between digital systems and on-the-ground operations by passively capturing real-time inventory data, enabling higher accuracy, improved OTIF performance, and more efficient labor utilization without heavy capital investment.

Three ways AI can help CSCOs navigate emerging supply chain cost pressures

Thursday, March 19, 2026 · Pierfrancesco Manenti, VP Analyst, Gartner Supply Chain Practice AI is enabling CSCOs to shift from reactive cost cutting to proactive, data-driven cost management by uncovering hidden cost drivers, optimizing decisions in real time, and modeling financial trade-offs across the supply chain.

‘AI is eating software’ and it is redefining supply chain decision-making as a result

Wednesday, March 18, 2026 · Brian Straight Agentic AI is transforming supply chains from deterministic, rule-based systems into adaptive, insight-driven networks that prioritize real-time decision-making, root-cause analysis, and capital-efficient innovation.

What’s the missing ingredient in supply chain visibility?

Friday, March 13, 2026 · Brian Straight True supply chain visibility in 2026 depends less on tracking shipments and more on synchronizing data across systems, ensuring a trusted single source of truth, and building AI-driven decision tools on high-quality, interoperable freight data.

Shattering the AI pilot trap

Monday, March 9, 2026 · Brian Straight While enthusiasm for generative AI in supply chains is high, most companies remain trapped in pilot programs because successful deployment requires workflow-level problem definition, embedded agents, and disciplined governance rather than simply applying new AI models.

How to rethink talent when AI executes your supply chain

Wednesday, March 4, 2026 · Amanda Dyson, VP of marketing, FourKites As AI agents increasingly automate supply chain execution, companies must redesign talent strategies to prioritize relationship management, critical thinking, and organizational influence rather than traditional process-based operational skills.

34th Annual Study of Logistics and Transportation Trends: The Great Disconnect—Bridging the knowing/doing gap in logistics

Monday, March 2, 2026 · Christopher A. Boone, Ph.D., Associate Professor, Mississippi State University; Karl B. Manrodt, Ph.D., Professor, Georgia College and State University; M. Douglas Voss, Ph.D., Professor and Scott E. Bennett Arkansas Highway Commission Endowed Chair, Uni Our survey team discovers a persistent gap between knowing what’s possible in logistics and actually putting it into practice. From AI adoption to talent development and technology integration, leaders understand the path forward, but action still lags.

Align AI adoption with climate goals

Monday, March 2, 2026 · SCMR Staff APQC research shows that while organizations pursue aggressive AI adoption and Net Zero emissions goals, most fail to account for AI’s energy use and GHG impact—creating a growing disconnect between digital transformation and climate commitments

How procurement teams are managing Tier 2 suppliers to lower costs and improve resilience

Monday, March 2, 2026 · Venky Arun & Karthik Rai As tariffs, volatility, and compressed launch cycles expose the limits of Tier 1 oversight, procurement leaders are leveraging AI-driven Tier 2 visibility to cut upstream costs, reduce hidden risk, and strengthen resilience.

Supply chain cyber risk strategies shift toward resilience

Monday, February 23, 2026 · Brian Straight As AI accelerates both cyberattacks and defenses, supply chain leaders must shift from prevention-only strategies to resilience-driven models built on third-party visibility, governance, and rapid recovery.

Execution, not chat: How Agentic AI changes supply chain operations

Thursday, February 19, 2026 · Prabhat Rao Pinnaka & Ramakrishna Garine Agentic AI is transforming supply chain operations by moving beyond chatbot-style assistance to governed, ontology-backed execution systems that autonomously detect, decide, and act within defined guardrails.

AI is automating procurement; it’s also creating jobs leaders aren’t ready for

Wednesday, February 18, 2026 · Meghan O’Doherty, Senior Director Procurement Advisory, Gartner Supply Chain Practice AI is transforming procurement by automating transactional sourcing work while creating entirely new AI-driven roles that require CPOs to rethink talent strategy, upskill teams, and redesign how procurement creates value.

After AI agent pilots underperformed: Resetting supply chain automation for operational impact

Tuesday, February 17, 2026 · Arturo Torres Arpi Acero After early AI agent pilots failed to deliver measurable operational or P&L impact, supply chain leaders are resetting automation strategies by focusing on decision ownership, governance, data integrity, and constrained autonomy instead of full end-to-end automation.

The AI efficiency trap: Why you should be using AI to grow value, not just shrink costs

Tuesday, February 10, 2026 · Rodney Thomas and Remko van Hoek Most organizations use AI to cut costs and move faster, but the companies that will lead their industries are using AI to improve decision quality, deepen insight, and build differentiation, not just efficiency.