Supply chain leaders increasingly rely on data science to navigate disruptions, optimize operations and drive decisions. Yet data, like crude oil, holds no value unless refined into usable insights.

Supply chain innovation is about building the future of global commerce—but sometimes, it’s important to look back at the ...

Supply chains face numerous risks and disruptions, from geopolitical conflict to extreme weather events, labor disputes, and beyond. More than ever, supply chain professionals need creative thinking ...

Accurate modeling of a company’s supply chain network provides insights into optimal production, storage locations, and raw materials supply network strategy. The modeling process can last from one ...

Supply chain leaders have been using technology to design and optimize their supply chains for decades. These days, they’re trying to understand the best way to integrate artificial intelligence and ...

On its own, AI cannot bring value to supply chain orchestration. Companies need comprehensive systems that bring together ...

In these challenging times, product value can also be measured, beyond cost and function, by the ability of a manufacturer to quickly make and ship to a customer. With components and labor still not ...

New technology is giving companies the visibility they need to recover materials, reduce waste, and build truly circular ...

From clothing to cars to canned peaches, American-made products are made of parts – often parts sourced from other companies in other countries. Supply chains are critically important to domestic and ...