Unilever scales factory sustainability with AI twins

Unilever’s digital twin deployment cuts energy costs at factories, with specific impact at Haldia, India.

Unilever has deployed over 40 digital twin systems across factories globally within 18 months, optimizing energy use through real-time adjustments to fan speeds, temperature, and moisture controls. The Haldia, India factory demonstrates this by reducing energy waste through precise climate management. Since 2008, Unilever’s sustainability efforts have saved over 1.5 billion euros through energy efficiency projects. Google’s CircularNet AI model—open-source and deployed by retailers—improves recycling stream sorting efficiency from 15% to 80% by identifying materials like paper, plastic, and metal. Trane Technologies acquired AI startup Brainbox, which now operates across hundreds of stores for retailers including Dollar Tree and Sleep Country. This approach targets factory sustainability at scale, directly lowering energy costs for manufactured goods. The movement toward AI-driven resource optimization in manufacturing moves sustainability from theoretical to operational, reducing the energy burden on consumer goods. What to watch: Whether Unilever’s 40 digital twin rollout achieves its 18-month target and whether the circular economy models scale to impact mass production costs. The source was published September 23, 2026, and the critical mineral supply chain context described as 'recent' in the text does not align with this publication date.

Source: Manufacturing Dive