Abstract: Aspects of this disclosure are directed to enterprise systems and methods that provide machine learning and artificial intelligence (AI) driven software that generates baseline predictions and optimizations for production capacity to reduce waste and harmful byproducts. Baseline predictions can include resource baseline predictions that can help estimate (or, predict) how much lower or higher an asset's resource inputs (e.g., fuel) and/or outputs (e.g., emissions) could be in comparison to the asset's current resource inputs and/or outputs. AI generated baseline predictions can be broken down into several different levels (e.g., facility level down to the asset level) so that it is clear where the most significant opportunities for resource savings lie, and the system can perform optimizations (e.g., trigger corrective actions) to achieve those resource savings.