IoT (Internet of Things)

IoT connects physical equipment through sensors and networks to collect and transmit operational data in real time, forming the foundation of smart factories and intelligent manufacturing.

Picture a food factory where utilization has always been eyeballed by a veteran operator walking the floor — IoT sensors can start on the one or two machines that cause the most trouble, streaming operating data back in real time so a manager sees, for the first time, an actual number for how long a machine really sits idle each day and where the bottleneck is, instead of a verbal estimate. Common applications include utilization monitoring, real-time production analytics, and predictive maintenance, and the usual advice is to pilot on a single line first, confirming data can be collected and interpreted reliably, rather than rolling out plant-wide and risking wasted spend. On payback, smart-manufacturing projects run longer — about 1-3 years — versus a pure process-digitization project (order management, inventory counts, typically 6-18 months), because IoT adoption adds hardware procurement, line integration, and time to accumulate usable data on top of system build-out. A common misconception is buying sensors before deciding what to monitor — the right order is identifying the key metrics worth tracking first, then choosing sensors and sampling frequency. If equipment is old enough to lack even basic communication interfaces, evaluating equipment replacement first, rather than bolting sensors onto machines that can't support them, avoids collecting data that ultimately can't be used.