Machine learning models that are continuously monitored and improved
One of our customers uses energy patterns to analyze the use of household appliances. In this way, not only usage, but also customer preferences and delivery of supplies such as detergent, dishwasher tablets, coffee and cleaning agents can be optimized. Notilyze collects the data, analyzes the patterns using machine learning and derives the various data from this, which can then be delivered back to the customer ready.
The big advantage for your situation is that our knowledge can be applied to all kinds of sensor data and time series data. This allows us to not only monitor but also predict maintenance, which results in major cost savings. Notilyze IT can also supply an application to integrate it as well as possible into the existing organization.
Machine learning models that are continuously monitored and improved
Wide application in all kinds of sensor data and time series
Predicting and optimizing maintenance