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A Pringles factory was transformed into a Digital Enterprise, unlocking innovation steps

Pringles® stacks data to unlock innovation leaps

What was once a perfectly automated Pringles factory just evolved again – into a Digital Enterprise with data-based production. Supercharged with Digital Twins and AI, the factory converts big data into a deeper understanding of its complex processes, driving bigger innovation steps.

Reinventing Pringles dough with big data and AI

Nailing the perfect Pringles chip is getting tougher. Variations in raw materials require careful recipe adjustments to ensure consistent dough quality. Experience used to be their only weapon – now digitalization brings big data to the fight. With a Digital Twin of the dough and AI-driven insights, operators can stabilize the dough like never before and crank line performance into overdrive.

Crunching costs, boosting performance

+ 10% Capacity increase

Without buying new hardware, the Pringles factory increased line performance by 10%. The combination of Digital Twins, simulation and AI helped optimize processes, increase dough stability, and accelerate filling and packaging.

- 13% Waste reduction

From recycling dough scraps to reducing rejected cans: Being able to ensure a perfect Pringles dough and optimizing the filling and packaging processes enables the factory to reduce waste by 13%.

+ 7% Energy efficiency

Siemens’ AI-enabled energy management system helped the Pringles factory reduce the energy consumption by 7%, which is a huge deal in the energy-intensive production of potato chips.

Building a digital lighthouse factory

Siemens Xcelerator helps Pringles optimize their use of data along the production line

Predicting dough quality with the Digital Twin

Traditional dough making once relied on the instincts of seasoned operators – hands, eyes, and years of experience. But digital transformation changed the game. Now, a network of sensors feeds temperature, humidity, protein levels, and other data into an edge-based AI model from Siemens. The model calculates the ideal dough recipe in real time and adapts to the uncertainties of the raw materials. Operators get precise recommendations, tweak the formulation accordingly, and keep production flowing without the waste, stops, or yield losses that recipe changes used to cause. Today, this Pringles factory is a digital lighthouse that runs on data – predicting dough quality and delivering uninterrupted production with consistent, top-tier chips.

AI optimizes energy efficiency and maintenance

But how do you begin a digital transformation in a factory that’s already perfectly automated? Pringles went straight for the use cases with real, measurable value. The Digital Twin of the dough was just the beginning. Then, as an energy-intensive operation, they boosted efficiency with a Siemens energy management system. They also cut maintenance costs by piloting Siemens’ AI-powered predictive maintenance solution – ditching generic schedules in favor of smart, condition-based recommendations that prevent downtime and keep machines in peak shape. Keeping in mind the larger vision of creating greater transparency and innovation throughout the entire organization, Pringles has already created value from the first steps.

Pringles uses a Siemens energy management system to increase energy efficiency
Pringles is using solutions from the Siemens Xcelerator portfolio to pave the way to the Industrial Metaverse

Paving the way to the Industrial Metaverse

With these early wins, the Pringles factory has built the foundations for its Industrial Metaverse. Powered by the Siemens Xcelerator portfolio – with Digital Twins and Industrial AI as the building blocks – Pringles is adding new value-driven use cases and connecting them through a unified Digital Thread. Next up: scaling that Digital Thread across more lines and more sites and seamlessly integrating product, production, R&D and engineering to drive innovation and increase agility. The goal: unlocking a fully networked Industrial Metaverse where every plant shares data, insights, and learnings through a single pane of glass.

I want to move from the art of food making to the science of food making.
Ronny Matthijs, Plant director, Pringles

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