In most manufacturing plants, there is a significant chance of asset failures, which can seriously interfere with the manufacturing schedule and productivity. The most crucial technique to prevent downtime is to predict when a machine is likely to break far in advance. Eugenie's digital twins help avoid downtimes through timely alerts and regular updates about the asset performance. Using Eugenie's insights, manufacturers can create an optimum asset reliability strategy.

Raw materials of poor quality and manufacturing flaws cause manufacturers to lose production capacity and incur significant costs. Early detection of flaws in the manufacturing process makes it simpler to take corrective action and reduce production wastage. Eugenie’s solutions apply satellite data on top of operational data for improving process efficiency and production yield.

Manufacturing processes use a lot of energy. Air compressor leaks, inefficient machinery, and unused heating and cooling are just a few examples of the many factors that can contribute to energy loss. Eugenie’s digital twins can identify cost-saving opportunities and predict demands with high accuracy. Operators can optimize costs and emissions with ‘what-if’ simulations.