Editor’s note: Leadership Lens, appearing online at scmr.com on the second Tuesday of each month, offers insight into leadership issues and how to address them. If you are interested in future topics, ...

Supply chains have typically been quiet enablers, optimized for cost, consistency, and scale. But in today’s volatile world, supply chains must no longer be designed solely for efficiency; they must ...

Artificial intelligence is revolutionizing industries worldwide, and the global supply chain is no exception. At a recent NationaLease meeting, Jake Hoffman, chief technology officer at Gnosis Freight ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article is part of a VB special issue. Read the full series here: ...

In today's ever-evolving landscape of supply chain management, executives and leaders are facing an intricate web of challenges. To navigate these complexities, advanced analytics and AI have emerged ...

As companies continue to figure out the best ways to meet consumers’ evolving demands and expectations, customer service has become a focal point of supply chain operations. Technological innovations ...

Privacy-first practices. Embrace privacy-first data strategies to build trust and adapt to evolving regulations like GDPR and CCPA. AI-driven insights. Use AI and ...

Editor’s note: This is the first article in a four-part series on actions supply chain leaders can take to improve cross-functional collaboration and create new more flexible and resilient supply ...

If your business is struggling to manage customer profiles and customer master data across different departments, Customer Master Data Management (CMDM) solutions could be the answer. These tools ...

This article was written by Don Huff, Global Head of Client Services and Operations, Michael Tam, Supply Chain Data Product Manager, Maris Serzans, Supply Chain Data Science at Bloomberg, alongside ...

Data agnostic failures. "Data agnostic" platforms often fail to integrate complex systems and leave teams with inaccurate data and time-consuming workarounds. Essential data attributes. A complete, ...