Food and beverage / Processed food

PepsiCo: Validating plant and logistics facility layouts

Company
PepsiCo
Country
United States
Adoption stage
Limited operation
Source published
Date basis
The date the source was published. It can differ from the date adoption started.
How the source was checked
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The work problem

As demand on production and delivery capacity grew, PepsiCo had to rework and optimise its existing facilities. The traditional way of expanding was slow and expensive. The company said that approach limits flexibility and the speed of scaling.

Technology and data

PepsiCo moved to a digital-first planning strategy that treats physics-based digital twins and AI agents as design partners. It simulates and validates facility layouts before anything is actually built. The tool is Siemens Digital Twin Composer, built on NVIDIA Omniverse libraries. It first turned some production and warehouse facilities in the United States into high-fidelity 3D digital twins, modelling plant operations and the whole supply chain and setting a performance baseline. Using Digital Twin Composer, Omniverse and computer vision together, it reproduces machines, conveyors, pallet paths and worker movement with physics-level accuracy. AI agents then simulate and refine proposed changes on top of this.

Results

PepsiCo said it finds up to 90 percent of potential problems before touching the actual facility. It said throughput rose by 20 percent in early deployments. It announced that the design cycle became faster, design validation reached close to 100 percent, and capital expenditure fell by 10 to 15 percent. These came from finding hidden capacity and validating investment in a virtual environment. The company explained that teams optimised and validated a new configuration within weeks.

Limits and open questions

The results are from early deployment in the United States. The source does not disclose the number of facilities covered, the measurement period or the timetable for global rollout.

Sources

Compiled from public sources. These are not results from ATF Works customers.

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