EcoStruxure™ Resource Advisor Copilot: Schneider Electric’s Latest AI Advancement

Schneider Electric, the leader in the digital transformation of energy management, automation, and sustainability, today announced its plans to launch EcoStruxure Resource Advisor Copilot, a conversational AI tool designed to help business leaders interact with their enterprise energy and sustainability data at even greater speed.

Using Large Language Model technology, Schneider Electric has securely built Copilot as a convenient digital companion embedded inside Resource Advisor. Copilot will equip energy and sustainability teams with enhanced data analysis, visualization, decision support, and performance optimization, and the ability to seamlessly process intricate industry knowledge and Resource Advisor system information. A private beta is launching over the next month, and general availability of the solution will occur in late 2023 / early 2024.

The confluence of the digital age and the impact economy is creating a new set of challenges for organizations, making it more important for leaders to turn to digital solutions to manage their environmental and social impacts. By using the new Copilot, Resource Advisor users will be able to retrieve data, generate visuals, and gain valuable insights effortlessly. This streamlined approach reduces the need for manual navigation and data analysis, allowing users to focus on strategic resource decisions.

The new tool is the latest AI-enabled enhancement that Schneider Electric’s Sustainability Business division has made in recent years. Others include AI-enabled risk optimization, invoice validationservices, and peak alert notifications. Additionally, every software solution in the Sustainability Business portfolio – which includes Zeigo Network, Zeigo Activate and Zeigo Power – is supported by data science, machine learning, and AI automation.

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Irina Peptine is the new Marketing Director of Schneider Electric Romania, Moldova and Armenia

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Resource Advisor helps clients observe and steer all aspects of their resource management journey through an elevated AI lens, including emissions, energy management, resource consumption reduction, ESG reporting, and carbon accounting.