As Asia puts AI at the heart of smarter manufacturing, the next opportunity is to extend that intelligence beyond production - connecting factory, mobility and product data so manufacturers can understand not only how goods were made, but whether they arrived as made.

There has probably never been more intelligence inside the factory than now.

AI can spot defects before products leave the production line. Sensors continuously monitor equipment and processes. Connected systems give manufacturers increasingly detailed visibility into quality, output and performance.

Singapore is pushing ahead with AI, robotics and automation as it strengthens its advanced manufacturing capabilities. Manufacturing remains a major pillar of the economy, accounting for around a fifth of GDP, while manufacturers are increasingly adopting AI, robotics and real-time sensing to improve productivity and quality.

The same direction is visible across Asia. China, for example, is putting artificial intelligence at the heart of its next manufacturing push 1, seeking to make factories smarter and critical supply chains more resilient.

All of this raises an interesting question. If we are becoming so good at understanding what happens to a product while it is being made, why should that intelligence stop at the factory gate?

For many manufacturers, a remarkable amount can now be known about a product before dispatch: when it was produced, whether it passed inspection and compliance, the conditions under which it was made and when it left the facility.

Then it gets loaded onto a vehicle. From there, the picture can become less complete.

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