Process Optimisation
Sensor networks and digital twins are used to automate and transform business processes, bringing cost and time savings.
Case Study: IoT sensors, and AI-powered predictive engine are used to eliminate need to physical monitoring of an asset.
Case Study: Process steps may be eliminated or added as digital twin and sensor technologies are implemented. Here an incident report and response process is augmented by input from a digital twin.
Case Study: Visual and functional simulation of loading environment leads to more efficient resource utilization.