AI inside our solutions
IndustryAI enables the management of critical quality parameters, stock management, automated visual inspection, industrial safety, and “self-healing” supply chain.
BuildingAI is embedded in our thermal model, HVAC, gH2 flow, electrical load management, and building automation solutions.
Data centerAI is used in our solutions encompassing smart cooling, live sensor data, predictive analytics, and smart alarms in data centers.
InfrastructureAI makes predictive maintenance possible with anomaly detection for resiliency in infrastructure.
MicrogridAI plays a crucial role in electrical demand and supply management to empower microgrids.
Renewables and EV chargingAI empowers our customers to make data-based buying and selling decisions and manage demand peaks efficiently.
Renewables and EV charging
Featured AI-based solutions for customers
Our AI success stories and testimonials
The Blackstone GroupTM, one of the world’s largest private equity groups, uses EcoStruxure Resource Advisor to track sustainability progress.
- Tens of millions of dollars in energy savings
- 15% reduction in CO2 emissions
- 20 portfolio companies tracked
AI solutions at Schneider Electric
Virginia AI Sales Assistant is a connected toolset that boosts sales efficiency with valuable data-driven insights and actionable alerts. This AI assistant offers custom insights such as product recommendations, visits, and opportunity reminders, or product end-of-life alerts. Our sales teams can access customer and product information and report visits quickly, and save up to 3 hours weekly.
Jo, our employee virtual assistant revolutionizes support ticket management. With 1.5 million IT and HR tickets created each year, Jo provides accurate information, and streamlines tasks through natural interaction with embedded intelligence, reducing support costs and boosting productivity. In just 5 months, Jo has handled over 5000 queries, continuously improving to deliver an exceptional employee experience.
Our “self-healing” supply chain platform uses adaptive machine learning, big data, and IoT to optimize performance-related parameters in real-time, suggests ways to improve financial and operational performance, and predicts business outcomes. Key benefits:
- 6-day reduction in day-in inventory, resulting in a 10% overall inventory decrease;
- Average 15% yield improvement on specific manufacturing lines;
- Over €100 million generated in value and productivity improved by €30 million;
- Delivery time reduced by 6 days.
Schneider Electric's data and Artificial Intelligence patents
Jon A. Bickel, Johannes Menzel (2020). Systems and Methods for Monitoring Energy-Related Data in an Electrical System.
Johannes Menzel, Jon A. Bickel (2022). Systems and Methods for Analyzing Alarms to Characterize Electrical System Issues.
Johannes Menzel, Jon A. Bickel (2022). Systems and Methods for Reducing Alarm Nuisance Behaviors in an Electrical System.
Marcel Chevalier, Didier Van Dooren (2022). Control Method of an Electrotechnical Device.
Marcel Chevalier, Laurent Buchsbaum (2021). Determination of a Reliability State of an Electrical Network.
Venanzio Ferraro, Massimo Secci, Diego Alberto (2021). Electrical Apparatus Thermal Monitoring.
Bhaskar Sinha, Venkatesh Jagannath, Amitabha Bhattacharyya, Ashish Patil, Sameer Kondejkar (2020). Automatic Extraction of Assets Data from Engineering Data Sources.
Bhaskar Sinha, Padmaja Bodanapu, Ashish Patil, Sameer Kondejkar, Rajkumar Krishnan (2020). Automatic Extraction of Assets Data from Engineering Data Sources for Generating an HMI.
Bartosz Boguslawski, Reynaldo Espana Rey, Giorgio Colangelo, Matthieu Boujonnier, Loryne Bissuel Beauvais, Fahd Saghir, Jacky Hoareau (2020). Autonomous Failure Prediction and Pump Control for Well Optimization.
Bartosz Boguslawski, Matthieu Boujonnier, Loryne Bissuel Beauvais, Fahd Saghir, Helenio Gilabert (2020). Well Site Machine Learning Based Analytics.
Fahd Saghir, Xavier Pasbeau, Bartosz Boguslawski, Matthieu Boujonnier, Loryne Bissuel Beauvais (2020). Well Site Machine Learning Based Predictions.
James W. VanGilder, Stuart M. Sheehan, Michael B. Condor (2021). Systems and Methods for Determining Liquid Cooled Architectures in an IT Room.
Alain Dutrey, Thomas Devos, François Malrait (2021). Backspinning Motor Control.
Al Kassem Jeba, Thomas Devos (2021). Variable Speed Drive and Torque Sensor.
Kamal Ejjabraoui (2021). Centrifugal Pump Operation.
Nicolas Henwood, Al Kassem Jebai, Vincent Ravier (2021). Electric Motor Control.
Thomas Devos, François Malrait (2021). Motor Soft-Starter Control.
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