Shop-floor data integration for manufacturers is the direct next step once a readiness assessment identifies the gap: raw sensor and PLC data exists, but nothing pipes it into a structured store an AI system, or even a decent dashboard, could actually use. Closing that gap is a data-integration project, distinct from the readiness assessment that identifies it and the automation build that eventually follows.
Why this is scoped as its own project
Data integration is real engineering work, not a configuration step. It means building a pipeline from specific PLCs and sensors into a structured store, handling the inconsistencies in how different shop-floor systems report data, and doing it without disrupting production. Treating it as a throwaway prerequisite instead of a scoped project is how these efforts stall halfway through.
What "incremental" means here specifically
Rather than a full sensor-network overhaul, the integration proceeds PLC group by PLC group, sensor cluster by sensor cluster. Each phase pipes one part of the shop floor into the structured store and gets validated before the next starts. This mirrors the same phased, module-by-module approach used across every modernization engagement on this site, restated for shop-floor data specifically.
What this deliberately doesn't touch
The existing PLCs and control systems keep running exactly as they do today. This integration reads from them; it doesn't replace them. That distinction matters on a production shop floor, where a control-system change carries real downtime risk that a parallel data pipeline doesn't.
Where this leads
Once the data pipeline is in place, the natural next step is targeted automation of a specific shop-floor process, covered on our automation page for manufacturers. If you haven't yet confirmed which systems actually need this work, the readiness assessment is the right starting point instead.
Common questions
Does this require replacing our PLCs?
No. The integration reads from the PLCs and sensors you already run rather than replacing existing shop-floor control systems. The goal is a structured data pipeline sitting alongside your controls, not a control-system swap.
How long before our data is "AI-ready"?
It depends on how many systems are in scope and how consistent their existing outputs are, which is why this is scoped incrementally, one sensor or PLC group at a time, rather than promised as a single fixed timeline up front.
Do we need a readiness assessment first?
If you haven't already had one, yes. See our AI readiness page for SME manufacturers. This page is the build that follows once a specific data-integration gap has been identified, not a starting point on its own.