Pringles uses AI and digital twins to perfect its stacked chips

Pringles maker Kellanova has used AI and digital twin simulations to perfect its stackable potato chip production, achieving consistent crunch, taste, and feel. The company invested about $5 million, added sensors across production lines, and collects 200 data points per chip, including flour particle size. An AI model identifies variances proactively to prevent bottlenecks like broken dough or sticky chips. Siemens has offered similar digital twins for rockets, batteries, and microchips. Some note Pringles created a need for precision by stacking chips, unlike typical potato chips.