PACK EXPO International 2026: visionAI and what happens beyond the machine
At PACK EXPO International 2026 in Chicago, AI was top of mind for manufacturers. Vision inspection is common but focused only on the product. MES and connected workforce platforms tell you what is happening on the production floor. The missing piece is why: the processes beyond the machine that can’t be seen, captured or measured. visionAI fills that gap by turning existing CCTV cameras into visual production intelligence.
The visionAI team has just returned from the US, where we visited customers across the Midwest and attended PACK EXPO 2026 in Chicago. PACK EXPO International is one of the biggest gatherings of North America’s manufacturers and their key suppliers: machinery builders, hardware manufacturers and software intelligence providers. Between site visits and the show floor, we had many conversations with partners and customers on vision AI in manufacturing, and five clear themes came out of them.
How are manufacturers thinking about AI in 2026?
vision AI in manufacturing is top of mind across the industry, but each part of the business understands it differently. To an equipment builder, AI might mean smarter machines. To a plant manager, it means fewer surprises on the line. To an operations leader, it means better decisions, made faster.
How is vision AI used in manufacturing today?
Vision AI in manufacturing is mostly used for product inspection: checking that what comes off the line meets spec. That’s valuable, but it answers “is the product right?” It doesn’t answer “why is the operation running the way it is?”
Is visionAI being used for operational intelligence?
It’s starting to be. A few vision players are now focusing on operational intelligence, turning what cameras see into insight about how the plant actually runs. It’s an encouraging sign that the market sees vision AI as more than a quality check and that manufacturing production intelligence is becoming a real category in its own right.
What do MES and connected workforce platforms capture?
Manufacturing execution systems (MES) and connected workforce platforms capture real-time production data from machine sensors and from operators on the floor. They tell you what is happening on the production floor, and that data is the backbone of modern plant performance. MES and vision AI are increasingly discussed together – but the connection between them is still missing in most plants
What is missing from manufacturing data today?
The missing piece is what happens beyond the machine, and why. Sensors tell you what the machine did. Operators record what they can. But a lot of what drives performance sits between the two: the processes, hand-offs and moments on the floor that can’t be seen, captured or measured with today’s tools.
That’s where computer vision root cause analysis usually stalls. Teams know a line underperformed. They just can’t see why.
How does visionAI fill the gap?
visionAI turns the CCTV cameras manufacturers already have into visual production intelligence that:
- adds to machine data with the context sensors can’t give,
- provides visual proof of what actually happened on the floor, and
- gives the why behind computer vision root cause analysis.
visionAI doesn’t replace MES, ERP or machine data. It works alongside them – making MES and vision AI a complete picture rather than two separate views of the operation.
Your ERP knows what’s supposed to happen. Your MES knows what’s actually happening. visionAI tells you why.
Looking ahead
PACK EXPO 2026 made one thing clear: the market is ready for a simpler way to gather visual production intelligence, and the best results will come from vision, machine data and people working together. Thank you to every partner and customer who took the time to meet with us, both on site across the Midwest and in Chicago. We look forward to continuing those conversations.
Want to see what’s happening beyond your machines? Get in touch with visionAI.
