WORKERBASE’s strategy for predictive maintenance is to observe and predict the human behavior in maintenance and other related tasks. We utilize pattern recognition to identify recurring events and calculate the probability and time of them occurring again.
Task prediction for predictive maintenance of machines follows the same pattern as the recognition of other repetitive tasks. The WORKERBASE system will identify not only your service tasks, but tasks across all your apps and workflows. By enabling task preempting you will gradually shift to a more optimized process flow.
Please get in touch if you would like to know more about how we can help you with your predictive maintenance and predictive manual tasks.