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.
Wednesday, February 11, 2026 · Srinivasan Narayanan
During ERP cloud transformations, manufacturers often see fill rates decline not because of technology failures, but because long-standing assumptions about sourcing, planning, and multi-DC execution are exposed under real operating conditions.
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.
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.
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.
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…
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.
Thursday, January 22, 2026 · Andrew Byer and Mike Dobslaw
Democratizing supply chain data means giving frontline planners and operators across U.S. and global supply chains real-time access to accurate, usable information, turning data into a business asset that improves planning, execution, and accountability rather than an…
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.
Thursday, January 15, 2026 · Josué C. Velázquez Martínez, Benedict Jun Ma, Paula Constanza Servideo Fischer and Anshuman Kandaswamy
A MIT supply chain Capstone project shows how coordinated inbound logistics using shared data, strategic consolidation hubs, and dynamic fleet planning can cut transportation costs by up to 60% while reducing emissions and spot freight dependence.
As global volatility intensifies, artificial intelligence is transforming supply chains from reactive, siloed operations into predictive, resilient, and increasingly autonomous systems.
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