PepsiCo digital twin tech reinvents supply chain operations
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PepsiCo is turning to digital twin technology and artificial intelligence to address longstanding supply chain challenges and improve the business of planning, building and operating plants and warehouses, executives said during the Consumer Electronics Show in Las Vegas this month.
The company announced a multi‑year collaboration with Siemens and NVIDIA to pilot advanced digital twin solutions in the United States that pair physics‑based simulation and real‑time facility data with AI‑driven design tools. PepsiCo hopes to overcome limitations of traditional supply chain and physical expansion methods that are often slow, inflexible and costly.
Digital twin technology creates a virtual version of real physical assets and processes that can be used to test and refine layouts, workflows and systems before making any changes on the factory floor. PepsiCo plans to apply this approach across manufacturing plants, warehousing facilities and distribution centers to reduce risk, increase throughput and optimize capital investments.
How the digital twin system works
PepsiCo’s new digital twin strategy uses a combination of Siemens’ Digital Twin Composer software and NVIDIA’s Omniverse libraries to build highly detailed 3D models of factories and logistics operations. These models integrate physics‑based digital twin data with real‑time physical information and AI capabilities to simulate, validate and optimize any proposed changes virtually.
Every machine, conveyor, pallet route and operator path is recreated in the digital environment so AI agents can run what if scenarios, test alternative layouts and refine processes before any physical construction or changes begin. This allows the company to uncover inefficiencies or bottlenecks early and avoid costly mistakes.
PepsiCo executives described the digital twin and AI tools as acting like “co‑designers” that accelerate decision making and extend far beyond basic 3D visualization. The models allow teams to simulate tradeoffs such as throughput versus layout constraints while mapping the best configuration without disrupting ongoing operations.
Measurable benefits and early results
Early test deployments in the United States have already demonstrated promising results. PepsiCo reported a 20 percent increase in throughput, nearly 100 percent design validation in simulations, and capital expenditure reductions of 10 to 15 percent due to early identification of increased capacity in the virtual environment.
Executives also said the digital models enable the company to anticipate up to 90 percent of potential issues before requiring physical fixes, a massive improvement over traditional methods that involve trial and error after physical changes.
Athina Kanioura, chief strategy and transformation officer at PepsiCo, said the digital twin approach serves two purposes. In addition to planning new facilities and expansions, it allows PepsiCo to modernize and optimize its existing footprint, including older warehouses that must handle demand spikes and unexpected events with agility.
This shift represents a move toward a digital‑first planning model that can simulate outcomes at scale, rather than relying solely on physical testing or manual scheduling processes. AI agents help navigate thousands of variables in real time, reducing blind spots and helping supply chain planners make more informed decisions.
Why PepsiCo is betting on digital
The global consumer packaged goods sector faces ongoing pressure to increase production capacity, improve responsiveness to demand changes and maintain lean inventories. Supply chain disruptions over the past few years have made agility and predictive planning more critical than ever. Digital twin technology promises to support those goals by providing a virtual preview of changes before they are implemented physically.
PepsiCo’s CEO Ramon Laguarta said the partnership with Siemens and NVIDIA aligns with the company’s aim to become more agile, forward‑thinking and competitive. Using physics‑based and AI‑enabled digital twin tools, PepsiCo intends to move away from slow traditional expansion methods that can limit flexibility and scalability.
The initiative also reflects broader industry trends toward digital transformation. Real‑time digital twins are rapidly being embraced by manufacturers and large supply chain operators to simulate entire systems, improve planning accuracy and reduce risk. PepsiCo’s approach places it among early adopters applying these tools at a very large global scale.
Global scale and future plans
Once the initial pilots in the United States are complete, PepsiCo plans to scale the digital twin program to its biggest markets including Mexico, the United Kingdom and Western Europe in 2026 and 2027. This phased expansion supports the company’s long‑term goal of creating a unified, intelligent network of facilities that can anticipate demand and adapt dynamically.
Kanioura described the effort as a first in the industry for a global consumer packaged goods company. PepsiCo aims to build a virtual blueprint that not only optimizes individual facilities but also supports connected supply chain planning across regions.
As digital twin technologies continue to mature and AI becomes more embedded in operational planning, companies like PepsiCo believe supply chain design and optimization will shift from reactive troubleshooting to proactive adaptation. That future could help businesses cut costs, shorten lead times and respond to customer needs with greater precision.
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