Using examples from chip, cosmetics, and soft drink production, Siemens will demonstrate how a contextualized data foundation connects information and makes Industrial AI actionable at every stage—from idea and specification management to enterprise recipe management (developing recipes, scaling them, and transferring them into production), through manufacturing with digital twins and virtual commissioning. In production and packaging, Industrial AI supports inline quality inspection, changeover optimization, predictive maintenance, and the optimization of plant and building infrastructure. In the supply chain, track & trace and data-driven logistics deliver end-to-end transparency.

Pop-up factories produce closer to the consumer

Additionally, Siemens will present modular pop-up factories based on real CPG customer examples. Small, agile facilities bring product, production, and supply chain closer to demand—and therefore closer to the end consumer. This will be illustrated with the example of a new beverage whose recipe, sensory profile, and packaging were developed and tested entirely virtually using immersive digital twins and simulations.

Additional demos: Energy and distribution infrastructure

Siemens will also showcase applications for energy and distribution grids to address rising electrification demand and the modernization of aging infrastructure. Virtualized protection and control as well as Industrial AI help customers prioritize operational alarms, assess OT vulnerabilities, and turn large, complex datasets into actionable recommendations which improves safety, reliability, and sustainability while reducing operating and total lifecycle costs. ▪ ds