Understanding how your operations are performing and identifying opportunities for improvement are vital. By applying machine learning, Plutoshift can help leaders go further to accurately predict potential violations, forecast how they are trending against their sustainability goals, and identify novel ways to innovate while also reducing operational costs.
Delivering on sustainability goals can mean driving efficiency and reducing impact for a single site, or even a single process. However you also need to understand your total impact at the enterprise level. Plutoshift's provides the flexibility to start optimizing and measuring sustainability for a single process and scale it with your program.
Energy (kWh) saved per site per year
Gallons of water saved per site per year
Gallons of chemicals saved per site per year
Tons of CO2 emissions reduced per site per year
Discover how AI and Machine learning applied to reverse osmosis can help maximize productivity, ensure compliance, reduce costs, and drive sustainability. We explore how leading organizations are leveraging data to enable operators to take a data-driven approach to their RO processes. … Read More
In this episode of What the Saas, Prateek and host Shaheem Alam discuss how machine learning is applied to drive sustainability … Read More
In this episode, a conversation with Prateek Joshi about all things data, especially the relationship of data relating to energy, resources, water and chemicals for major manufacturing organisations and their ESG footprint … Read More