Tuesday, March 3, 2026 · Saravana Venkatachalam and Arunachalam Narayanan
Supply chain planning tools are not new. Most organizations today rely on established systems for demand planning, supply planning, inventory optimization, and network design. These tools are typically operated in a human-in-the-loop model: planners run scheduled processes…
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.
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.
In a world of constant disruption and exponential data growth, supply chain performance increasingly depends on how quickly leaders can detect change, decide with confidence, and convert decisions into coordinated action at scale.
Thursday, February 26, 2026 · Andrew Byer and Mike Dobslaw
“Bringing the outside in” means shifting supply chain planning and execution from internally driven metrics to real-time, market-based data such as POS, competitive activity, and external events to improve service, stability, and financial performance.
Despite escalating U.S.–China tariffs and trade sanctions, China’s economy is expanding, global market diversification is accelerating, and rare earth dominance remains a strategic pressure point for American supply chains.
The 2026 NextGen Supply Chain Conference is now accepting speaker submissions for its practitioner-led event in Nashville, inviting supply chain leaders to share real-world case studies focused on AI, automation, workforce transformation, and measurable operational impact.
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 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.
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.
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