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.
Monday, April 6, 2026 · Dr. Rizwan Manzoor, assistant professor, IMT Ghaziabad, India
Supply chain automation investments are increasingly exposed to infrastructure volatility, requiring CFOs to adopt dynamic, risk-aware financial models that prioritize flexibility over fixed assets to avoid stranded capital. A
Friday, April 3, 2026 · Dravida Seetharam and Sarah Lahti
Artificial intelligence is accelerating global trade while simultaneously creating new market access barriers driven by infrastructure gaps, regulatory fragmentation, and unequal digital capabilities.
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.
Wednesday, April 1, 2026 · Huseyn Abdulla and Tom Goldsby
The 5Ps of returns management framework helps supply chain leaders reduce reverse logistics costs and improve customer loyalty by aligning people, policies, processes, products, and partners into a coordinated strategy.
Tuesday, March 31, 2026 · Rashid Abdulla, CEO and Managing Director for DP World, Europe
Europe’s industrial competitiveness will depend on fixing fragmented logistics networks through cross-border standardization, rail investment, and interoperable digital systems that improve reliability and reduce costs.
Monday, March 30, 2026 · Andrew Balthrop and Timothy Fitzgerald
Rising diesel prices are rapidly and fully passed through to shippers, not carriers, while the broader economic impact on supply chains and consumer prices remains limited.
Thursday, March 26, 2026 · Andrew Byer and Mike Dobslaw
SKU segmentation enables supply chain leaders to prioritize products based on their strategic role, aligning inventory, service levels, and operational policies to drive better financial and operational performance.
Reshoring manufacturing in the U.S. is accelerating, but a severe shortage of skilled labor across technical, operational, and leadership roles threatens to undermine its long-term viability.
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.
AI-driven forecasting only delivers real business value when organizations rigorously measure forecast value add (FVA) to ensure every model, agent, and human intervention improves operational decision-making.
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.
Procter & Gamble’s One Supply Chain strategy is an example of how aligning operations, forecasting, logistics, and supplier collaboration around the “Perfect Order” framework enables companies to deliver the right product, at the right time and cost, while turning…
Thursday, March 12, 2026 · Andrew Byer and Mike Dobslaw
Balancing demand and supply in supply chain planning means aligning demand forecasts with production, inventory, and distribution capabilities so companies can meet customer needs efficiently without costly operational disruptions.
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.
