Transitioning to the Internet of Intelligence | Zebra Technologies’ Drew Ehlers

Logistics & fulfilmentincreases container/trailer utilization from an average of 60-70% to higher levels

The AI processes real-time point cloud data from sensors and cameras to analyze trailer or container loading efficiency, providing corrective actions to workers to optimize space utilization and reduce fuel costs.

“you've got machine learning on the back and really processing all the data on the edge, and then setting up the actionable intelligence up to the cloud, back to the worker for notification so that if they're building walls … I can intelligently tell them that they're building it the most efficient way, but if they're not, I can send them a corrective action in real time…”

Running the companyaccelerates the ability of rookie workers to ramp up

Machine learning processes data from mobile computers to create a closed-loop feedback system that provides decision support to workers of varying experience levels, accelerating their ramp-up time and productivity.

“by augmenting that work, worker and driving intelligence back to them is decision support, now you can actually lift, lift up that, that rookie worker, human worker, and now bring into, um, accelerate their ability to ramp up … processed, you know, from a ML perspective through a closed feedback loop and driving it back to the worker…”