Predictive AI models will power smarter inventory distribution, greater pick path efficiency and dynamic order grouping, thereby improving accuracy, reducing costs and accelerating throughput.

Tom Moore and Keith Moore, CEOs of, respectively, ProvisionAi and Autoscheduler.AI, talk about how AI is helping to solve problems in supply chains — and where it's more a matter of hype.

Kate Vitasek, faculty member at the University of Tennessee, explains how collaborative bidding can bring about a whole new way of looking at supplier-buyer engagements.

How can supply chain leaders implement a sense of predictability in an unpredictable market? By investing in talent and technology, such as artificial intelligence, that can support modern-day challenges.

AI promises to save effort and time on a scale never before witnessed in human history. But to quote Serena Williams: “Everything comes at a cost. Just what are you willing to pay for it?”

Residual effects from supply chain disruption have paralyzed businesses in their investment decisions and strategic planning, and now, a new model is needed for understanding risk and opportunity.

Artificial intelligence is quite promising in helping supply chain leaders to address the talent gap, says Dawn Andre, chief product officer at Jaggaer.

Some assumptions and beliefs about the contribution that generative AI will make to supply chains are misplaced, says Dana Stiffler, distinguished vice president analyst at Gartner.

DC managers and IT teams have more options than ever when selecting mobile computers for use in their facilities. This Buyer’s Guide describes the key technical and functional considerations to bear in mind when selecting the best device for your mobile application needs, particularly with regard to hands-free mobile applications leveraging voice, scanning and displays.

Disruptions will continue, so supply chains must be resilient, and artificial intelligence can help, says Volker Albrecht, chief executive officer of Siemens Digital Logistics.