Supply chain AI initiatives deliver the greatest value when organizations redesign decision-making processes, connect operational actions to business outcomes, and use scenario-based intelligence…
Transforming means making a thorough or dramatic change. When companies talk about digitizing the supply chain, it typically refers to reducing manual work or improving existing automation. The…
Supply chain leaders are accelerating AI investments, but according to EY’s Al Mendoza, organizations achieving measurable business value are those that pair artificial intelligence with strong…
Supply chain AI initiatives deliver the greatest value when organizations redesign decision-making processes, connect operational actions to business outcomes, and use scenario-based intelligence to optimize enterprise-wide performance.
Thursday, June 11, 2026 · Andrew Byer and Mike Dobslaw
Transforming means making a thorough or dramatic change. When companies talk about digitizing the supply chain, it typically refers to reducing manual work or improving existing automation. The challenge companies face is how to digitally transform in a way that drives…
Category strategies often die in static slide decks, leaving sourcing teams to rely on manual spreadsheets, intuition and now generic LLMs. This "Strategy-to-Execution Gap" leaks millions in margin. Join Jacob Gorm Larsen, Founder, Moneyball CPH and experts from…
Supply chain leaders are accelerating AI investments, but according to EY’s Al Mendoza, organizations achieving measurable business value are those that pair artificial intelligence with strong data foundations, standardized processes, workforce upskilling, and…
A supply chain expert demonstrated how generative AI can be used to build a functional S&OP application in roughly 30 hours without traditional coding, highlighting how AI literacy and domain expertise are reshaping software development, supply chain planning, and…
Wednesday, June 3, 2026 · Dravida Seetharam and Sarah Lahti
Global AI regulations are rapidly creating a competitive divide in supply chains, forcing organizations to balance compliance, governance, and innovation while adapting operations across increasingly fragmented regulatory environments.
Monday, June 1, 2026 · Vincent E. Castillo, Ph.D., The Ohio State University, and Abhinav “Sunny” Hasija, Ph.D., Grand Valley State University
AI coding agents are enabling supply chain leaders to rapidly prototype decision-support tools and operational systems, shifting innovation from IT-led development to business-led experimentation while increasing the need for disciplined testing, governance, and collaboration.
Tech leaders must move beyond ethics debates and embrace accountability, making decisions that balance business responsibility, national interests, and supply chain realities.
High engagement from across the supply chain industry has prompted the NextGen Supply Chain Conference to extend both its award submission and speaker proposal deadlines to June 1, giving organizations additional time to showcase real-world execution and transformation…
Gather AI’s expansion into lift-mounted cameras and enhanced drones reflects a broader shift from scan-based tracking to continuous, AI-driven visibility that captures every movement inside the warehouse.
Körber’s collaboration with NVIDIA highlights how advances in computing power and physics-based simulation are turning digital twins into practical, real-time decision tools for supply chain design, execution, and optimization.
Despite years of investment in digital tools and AI, supply chain organizations are struggling to turn visibility into action, revealing a growing execution gap driven by misaligned processes, unclear ownership, and limited ROI from technology.
One year after its rebrand, Infios is shifting from identity-building to execution, as rising demand, pragmatic AI adoption, and a focus on speed to value redefine how companies invest in supply chain technology.
Wednesday, April 22, 2026 · Mel Mohamednur, Director Analyst, Gartner Supply Chain
Supply chain leaders must move beyond AI readiness to redesign talent, performance metrics, and workflows around human–AI collaboration to unlock real operational value.
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