As AI accelerates global data center expansion, logistics has evolved from a support function into a strategic infrastructure capability that determines how quickly organizations can deploy, scale,…
Nitin Kapoor, vice president of technology at Wayfair, will join the Keynote lineup at the 2026 NextGen Supply Chain Conference in Nashville, sharing insights into the technology, logistics…
New Gartner and Gallup research suggests that while AI adoption is accelerating across the workplace, AI-driven layoffs remain limited, shifting the workforce conversation from job elimination to…
In this session, we’ll explore how leading organizations are advancing their digital supply chain strategies beyond foundational visibility. From AI-driven decision support and digital twins to cloud-based platforms and API-enabled ecosystems, companies are building more…
As AI accelerates global data center expansion, logistics has evolved from a support function into a strategic infrastructure capability that determines how quickly organizations can deploy, scale, maintain, and sustain AI-driven digital infrastructure.
Nitin Kapoor, vice president of technology at Wayfair, will join the Keynote lineup at the 2026 NextGen Supply Chain Conference in Nashville, sharing insights into the technology, logistics strategy, and operational innovations powering Wayfair’s home delivery network.
New Gartner and Gallup research suggests that while AI adoption is accelerating across the workplace, AI-driven layoffs remain limited, shifting the workforce conversation from job elimination to talent development, career redesign, and workforce transformation.
Supply chain technology projects fail not because the software is ineffective, but because organizations implement TMS, WMS, AI, and automation solutions without first defining a clear business strategy, governance model, change management plan, and operational objectives.
DHL Supply Chain is scaling robotics, analytics, and emerging agentic AI capabilities, but argues that long-term supply chain transformation success depends first on building clean, structured data foundations that enable automation and decision intelligence at scale.
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.
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