AI
80 %
of decisions could be automated in a“ self-driving” supply chain( Deloitte)
Empower tomorrow’ s supply chains At Schneider Electric, AI plays a critical role in factory and logistics operations, helping the company respond to demand in real time while reducing energy use and cost.
Stephane explains:“ Energy optimisation is where we see the most immediate and measurable impact. AI helps reduce energy consumption in our factories and logistics by adjusting operations based on demand, weather and energy pricing.
“ We’ re also using AI to model the carbon footprint of our supply chain and make smarter trade-offs in sourcing and transportation. Over time, supplier engagement will become a major lever as we scale capabilities across our ecosystem.”
These capabilities go beyond reducing emissions. AI models help supply chain teams make faster decisions by predicting demand changes or flagging risks earlier. Cognitive supply chains can learn, predict and suggest actions.
Yet, introducing cognitive technology alone is not enough.
Stephane says building these supply chains requires new ways of thinking and working:“ We need people comfortable
with data, questioning assumptions, trusting machine insights. That means upskilling in data literacy, digital twin modelling and scenario planning.”
This shift echoes Deloitte’ s findings on cognitive supply chains. Its report describes a“ self-driving” supply chain where up to“ 80 % of decisions” are automated, leaving complex exceptions to humans. The Cognitive Command Centre enables better visibility, flexibility, collaboration and real-time control. These improvements allow organisations to“ track and monitor events … take proactive actions” and“ quickly adapt to disruptions” without large cost increases.
80 November 2025