Your operator teams are drowning in data. They observe multiple monitors and check many constraints in real time.
We focus with you: Which 4-6 production variables matter the most for this problem?
Based on this, we run our process analytics on your data ― we unearth the gas consumption situations and what led up to them.
Then, our clustering algorithm classifies the moments and labels them. The labels, both for avoidable and normal gas consumption, are fitted to your situation.
We make it easy for your operators to add feedback. Management can discuss situations, and our algorithm can be trained to improve constantly.