Artificial Intellgience

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.

Doing more with less: Practical AI moves for procurement teams in 2026

Friday, February 6, 2026 · Corrine Chen Procurement teams facing tighter budgets and higher expectations in 2026 can unlock real value from AI by focusing on practical, modular use cases—GenAI drafting, spend analytics, and supplier risk monitoring—that deliver measurable results without replacing core systems.

The AI data center bill of materials: What procurement should lock first

Thursday, February 5, 2026 · Shilen Jhaveri AI data center projects slip not because GPUs are late, but because procurement fails to lock long-lead power, networking, and cooling components that quietly define the true critical path to usable compute.

AI in procurement: Building the foundations for the next era of impact

Tuesday, February 3, 2026 · Baber Farooq, senior vice president and head of market strategy, SAP Ariba Procurement leaders can only unlock AI’s full value by modernizing data, redesigning processes, and upskilling teams; treating AI adoption as an enterprise transformation rather than a technology rollout.

Successful AI in retail only works when operations change with it

Monday, February 2, 2026 · Brian Straight AI delivers real supply chain value only when it is embedded into operational workflows and paired with process change, not layered on top of broken decisions.