Comprehensive information about global sourcing and procurement strategies, covering software, spending analysis, order management, supplier evaluation and e-Procurement.
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.
Monday, February 16, 2026 · Tim Russell, Abdullah Alsukairi and Olivia Morton
MIT Capstone study models fuel distribution capacity in the New Madrid Seismic Zone to identify infrastructure, labor, and policy interventions that can strengthen emergency fuel resilience before a major earthquake disrupts critical supply chains.
To achieve a true Perfect Order in today’s regulatory environment, companies must add a “right data” requirement, integrating accurate, traceable, and compliant information into ERP and EDI systems to meet mandates and retail vendor compliance expectations.
In the volatile 2026 trade environment, commercial EV manufacturers must move beyond lowest landed cost and adopt a portfolio-based Resilient-Grid sourcing model to manage tariffs, capital constraints, and material volatility.
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.
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.
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.
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.
As warehouse put-away logic grows more complex, AI-assisted WMS models offer a potential path to reduce configuration burden by shifting bin-level decisions from static rules to data-driven, real-time optimization.
Manufacturers are rapidly deploying AI across production and supply chains, but new research shows their governance, cybersecurity, and compliance controls are lagging—creating growing exposure to adversarial AI attacks, regulatory scrutiny, and third-party supply chain…
Wednesday, January 28, 2026 · Ashley Hubka, SVP & GM, Walmart Business
A practical disaster preparedness playbook outlines how businesses can strengthen continuity planning, protect employees, and accelerate recovery from hurricanes, floods, cyberattacks, and other disruptions through proactive risk assessment, supply chain flexibility, and…
Supply chain resilience and AI readiness increasingly depend on source-level and location-based data that gives organizations visibility into where materials originate, how networks interact, and where risk is emerging.
Retailers are moving beyond seasonal planning toward integrated, AI-driven decision frameworks that connect real-time demand signals, financial guardrails, and execution at the store level.
Trade compliance has shifted from a back-office function to a strategic, legally exposed leadership role as tariffs, sanctions, and aggressive enforcement reshape how companies source, sell, and defend global trade decisions.
Wednesday, January 21, 2026 · Benjamin Jury, senior principal, research, Gartner Supply Chain
As inflation, tariffs, and demand volatility persist, Gartner research shows CSCOs must shift from reactive cost cutting to contextual, metrics-driven cost leadership that protects resilience and long-term supply chain performance.
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