How Digital Twins Cut Production Costs: Lessons from Pringles

Kellanova invested $5 million and four years building a real-time digital twin of its Pringles production line in Poland, working with Siemens to solve a costly

Kellanova invested $5 million and four years building a real-time digital twin of its Pringles production line in Poland, working with Siemens to solve a costly problem: variability. Over 200 parameters affect the final chip, from flour particle size to humidity levels, and small variations meant wasted batches and inconsistent quality.

While $5 million sounds out of reach for small makers, the technology is rapidly becoming accessible. Cloud-based digital twin platforms now offer subscription models starting under $100 monthly, letting small manufacturers simulate production changes before implementing them. A craft brewery could test recipe variations virtually, or a small bakery could optimize oven temperatures across different weather conditions.

The key takeaway: digital simulation prevents expensive real-world mistakes. Even simple spreadsheet-based models can help small producers identify which variables most affect their product quality, leading to less waste and more consistent results that build customer trust.