The evolution of supply chain technology today is about rethinking the way that businesses collaborate, operate and innovate.

Real-time data collection and analysis are at the heart of the industrial internet of things (IIoT). 

Here are five crucial areas of difficulty, and how AI can play an innovative role in helping handle them.

Supply chain leaders love to talk about their push for “digitization” of key processes. But their hiring patterns aren’t always lining up with that rhetoric.

While the chaos surrounding new trade regulations may not slow anytime soon, those who embrace AI will find themselves better equipped to handle whatever the next change brings.

Agentic AI and other developments in technology could help the industry move beyond task-specific automation, opening up a wealth of new possibilities.

Going forward, it will be critically important, especially for SMBs, to have systems in place that can help them meticulously manage their inventory and holistically manage operations.

To avoid or minimize the damage that supply chain disruptions can cause, it’s important for companies to assess potential risks and develop a plan to manage them. 

For supply chain leaders, design thinking is more than a methodology; it’s a strategic tool. 

The future contains much uncertainty, but also a wealth of opportunities for innovative and far-thinking enterprises.