PepsiCo, with Siemens · Food and beverage manufacturing and logistics · United States (selected plants and warehouses)
PepsiCo and Siemens: plant and warehouse twins with Digital Twin Composer on Omniverse
PepsiCo is converting selected US plants and warehouses into 3D digital twins with Siemens Digital Twin Composer, which Siemens builds on NVIDIA Omniverse libraries. PepsiCo and Siemens report a 20 percent throughput gain on the first deployment; the program is in early pilots.
- Status
- Pilot
- Status as of
- 6 Jan 2026
- NVIDIA technologies
- NVIDIA Omniverse
The challenge
PepsiCo says traditional ways of expanding capacity are slow and costly, and the Siemens blog notes that some of its plants are decades old, which limits flexibility and throughput. PepsiCo wanted to find spare capacity and check investments before spending capital.
Siemens describes the goal as building a performance baseline of plant operations and the supply chain, then testing changes against it.123
What was implemented
Announced at CES on 6 January 2026, PepsiCo, Siemens and NVIDIA entered a multi-year collaboration. PepsiCo and Siemens are turning selected US manufacturing and warehouse facilities into 3D digital twins that recreate machines, conveyors, pallet routes and operator paths.
The software is Siemens Digital Twin Composer, part of the Siemens Xcelerator portfolio. Siemens says it combines 2D and 3D twin data with live data (for example from MES, QMS, PLC code and IIoT sources) in a visual scene built with NVIDIA Omniverse libraries. PepsiCo also names computer vision and AI agents that simulate and check layouts before physical changes.
A Siemens blog post names one US Gatorade plant among the early deployments. As of January 2026 Siemens said Digital Twin Composer was in early access with select customers. PepsiCo says it plans to scale globally but gives no timeline.123
Reported outcomes
Throughput up 20 percent on the initial deployment13
+20% throughput
MeasuredPepsiCo and Siemens state nearly 100 percent design validation (term not defined)12
Nearly 100% (definition not published)
Projected, not measuredCapital expenditure reduced by 10 to 15 percent13
10 to 15% lower capex (estimate)
Projected, not measured
Each outcome links to its source; the label there says whether the company, NVIDIA or a third party reported it.
What others can learn, and the limits
What others can learn: a twin that recreates conveyors, pallet routes and operator paths lets a plant test layout changes and find unused capacity before buying equipment, and a single plant is a reasonable starting scope. Limits: the program is in early pilots, the throughput figure comes from one plant, and none of the numbers has a published baseline, method or independent check. PepsiCo describes the capex figure as an ongoing effect, and a Siemens blog calls it a PepsiCo estimate. Digital Twin Composer was in early access when announced. For a single line change, the discrete-event or process simulation tools many plants already use may be enough without a photoreal 3D scene.
Explore a similar project
Use the Digital Twin Opportunity Lab with your own assumptions. Results are independent of this case.
Sources
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