Schneider Electric has moved nearly 100 AI use cases into production, and its customer care centers now have AI analyze and route about 7.5 million customer service tickets a year, a task once done manually by staff, which frees employees to focus on higher-value customer interactions.
According to Schneider Electric, its self-healing supply chain platform, running on adaptive machine learning and IoT, has delivered a six-day reduction in days-in-inventory, a 10% overall inventory decrease, a 15% average yield improvement on specific manufacturing lines and more than €100 million in generated value. The platform also enables real-time rerouting when a shipment is damaged in transit: it identifies an alternative facility, adjusts production schedules and ships a replacement within 24 hours.
Chief AI officer Philippe Rambach told MIT Sloan Management Review "We always start from the business and customer needs, pain points of employees, where AI can help", adding that every initiative must demonstrate clear business value and plan for deployment at scale from inception. Schneider has applied that discipline since it established its AI Hub in late 2021.
The company also learned how adoption works. When it built a compliance tool to help marketing teams navigate European anti-greenwashing regulations, adoption remained flat when the tool was offered as a standalone application. Usage shifted only after the capability was embedded into the document management system employees already used daily, as covered by CDO Magazine. Rambach estimates that 80% to 90% of the work in AI transformation consists of change management, training and workflow redesign rather than the technology itself, according to CDO Magazine. Schneider has mandated AI fundamentals training for all 140,000 employees, tracked and escalated the same way as compliance requirements.
Details
- City
- Rueil-Malmaison
- Organization
- Schneider Electric
- Continent
- Europe
- Country
- France