Engineering.com Spotlights PepsiCo’s Early Adoption of Siemens Digital Twin Composer

Engineering.com, a long-standing publication covering engineering technology, manufacturing and industrial innovation, recently spotlighted the launch of Siemens Digital Twin Composer, highlighting PepsiCo as an early adopter. This collaboration marks a first-of-its-kind effort for a global CPG company, reshaping how plants and warehouses are simulated, tested and optimized before any physical change occurs.

In the Engineering.com article, explore how PepsiCo is using Siemens Digital Twin Composer alongside NVIDIA to convert select U.S. manufacturing and warehouse facilities into high‑fidelity 3D digital twins that simulate end‑to‑end plant operations and supply chains.

As supply chain volatility intensify across the CPG landscape, PepsiCo knew facilities built for another era had to evolve. Rather than tackling inefficiencies in silos, the company launched a digital-first, AI-driven transformation, placing Siemens Digital Twin Composer at the center of its manufacturing modernization strategy.

Discover how Digital Twin Composer helps PepsiCo connect 3D scenes, simulation models and live plant data so engineers can validate major updates before any building begins. That unified scene breaks down silos and unlocks cross-discipline collaboration at scale, empowering architects, production engineers, automation specialists and operations to all work from the same, immersive environment. 

PepsiCo drives a digital-first strategy

PepsiCo now creates high-fidelity digital twins of its factories and warehouses, modeling every machine, conveyor, pallet flow, and operator path with precision using Digital Twin Composer and NVIDIA Omniverse. In a first for a global CPG leader, this collaboration transforms how facilities are designed and optimized. Inside these immersive virtual environments, AI agents run thousands of simulations to eliminate bottlenecks, boost throughput, and validate automation decisions, before a single physical change is made.

Initial deployments have delivered measurable gains:

• Up to 90% of potential issues identified before physical modification
• 20% increase in throughput
• Nearly 100% design validation before build
• 10–15% reduction in capital expenditure

In this rendering of PepsiCo’s facility,  Digital Twin Composer combines photorealistic renderings from NVIDIA Omniverse, with multi-physics simulation and a trusted data backbone so AI can run realistic experiments at scale. For a CPG manufacturer operating at high speed, reducing uncertainty before committing capital can significantly impact cost, timing and performance.

Engineering.com’s coverage of Siemens Digital Twin Composer signals where manufacturing is headed. PepsiCo is operationalizing the digital twin and AI simulation across live facilities to evaluate line design, material flow, and automation decisions before physical changes occur.

For CPG manufacturers, this sets a new standard: build and validate in the virtual environment first, execute in the physical world second. The future plant is engineered twice, once in data, then in steel.