While generative AI recognizes patterns and creates content, agentic AI uses these outputs to reason, plan, and take autonomous actions.

The facility will be the largest AI hub that Google is going to be investing in anywhere in the world outside of the United States.

Success rests on four positive factors — incremental transformation, non-disruptive architecture, deep knowledge-worker involvement, and a core foundation built on manufacturing know-how.

Total value reflects the full spectrum of what today’s shoppers of fast-moving consumer goods care about when making their purchasing decisions.

For foodservice distributors, clinging to static routes, paper-based processes, and manual planning is no longer sustainable.

A focus on mutual corporate environmental, social and sustainability goals not only fosters positive delivery experiences but also strengthens dedication to reputation and service excellence.

Despite years of investment, many facilities still depend on manual work and outdated processes. Yet the consequent challenges also present an opportunity.

AI is only as good as the data it gets — and ambient IoT is delivering the data that supply chains have been missing.

AI and real-time data recording technologies are setting a new standard for what proactive, intelligent supply chain risk management should look like.

If your supply chain is still running on legacy systems, you might not realize how much they’re slowing you down — until something breaks.