PepsiCo Turns To Digital Twins To Rethink Plants And Warehouses

Article Date: 7 January 2026
Article URL: https://www.supplychain247.com/article/pepsico-uses-digital-twins-to-test-plant-and-warehouse-changes
Article Image: https://www.supplychain247.com/images/2025_article/pepsi-GettyImages-2161521312.jpg

Summary

PepsiCo has teamed with Siemens and NVIDIA to use AI-powered digital twins to design, test and optimise plants and distribution centres before making physical changes. The project uses Siemens’ Digital Twin Composer on NVIDIA Omniverse to build physics-accurate 3D models that simulate equipment, conveyor and pallet flows and even worker movement. Early US pilots report roughly 20% higher throughput, shorter design cycles and 10–15% lower capital spending by identifying bottlenecks and unused capacity in a virtual environment.

Key Points

Partnership between PepsiCo, Siemens and NVIDIA announced at CES 2026 to scale digital-twin use across operations.
Siemens Digital Twin Composer on NVIDIA Omniverse creates detailed, physics-based 3D facility models (machines, conveyors, pallet routes, worker movement).
Early pilots at multiple US sites show ~20% throughput improvement and 10–15% capital expenditure savings.
Virtual testing shortens design cycles from months to weeks and reduces costly on-site mistakes.
Approach supports faster, evidence-based decisions for layout changes, equipment moves and capacity planning across the farm-to-shelf value chain.

Context and relevance

Digital twins are moving from proof-of-concept to operational tools for large manufacturers and logistics operators. PepsiCo’s measurable gains make this a practical case study: it ties AI, simulation and digital engineering to real commercial outcomes (throughput, capex and speed). For operations, engineering, automation and supply-chain leaders, the story underlines a shift—investments in simulation and AI can now be justified by clear ROI and faster rollout cycles.

Why should I read this?

Quick take: if you care about making factories or warehouses work better without throwing money at guesswork, read this. PepsiCo’s pilots actually moved the needle — faster lines, less wasted kit and smaller capital bills. It’s a neat example of how simulation + AI saves time and cash rather than just sounding clever on a slide.

Author style

Punchy and to the point: this isn’t hype. Measurable uplift (c.20% throughput) and tangible capex savings make this high-impact reading for anyone planning expansions, retrofits or automation projects. If your remit touches layouts, capacity planning or automation ROI, dig into the details.