Friday, May 15, 2026 · Senali Amarasuriya, Ph.D.
By integrating AI, blockchain, and IoT into the classic Kraljic Matrix, procurement leaders can transform a decades-old framework into a dynamic decision tool that strengthens risk management, supplier transparency, and strategic sourcing in increasingly volatile global supply…
Tuesday, May 5, 2026 · Brian Straight
Agentic AI is shifting procurement from insight to execution by autonomously managing high-volume, low-value transactions and unlocking scale, consistency, and incremental savings across the long tail of spend.
Friday, April 17, 2026 · Corrine Chen
Supply chains are no longer constrained by data scarcity but by slow, unclear decision-making processes that prevent organizations from acting on insights in real time.
Monday, April 13, 2026 · Niraj Jha
AI does not eliminate supply chain constraints, it shifts them to data quality, decision governance, and human judgment, creating new operational challenges that determine competitive advantage.
Tuesday, April 7, 2026 · Nathanael Powrie
AI in supply chains is shifting from pilot programs to measurable P&L impact, with success determined by execution, data readiness, and operational integration rather than technology alone.
Thursday, April 2, 2026 · Gordon Donovan, Vice President of Research for Procurement and External Workforce, SAP
AI in procurement is shifting value from simple process automation to strategic decision-making, forcing leaders to redesign operating models, balance cost and resilience, and close the gap between AI ambition and real-world execution.
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.
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.
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.
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.
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.
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.
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.
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.
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
Subscribe to our weekly e-mail update
Don’t miss out on the best in supply chain. Get premium
resources and in-depth, comprehensive feature articles written by the industry's top experts – delivered.
