AI in Beverages

PepsiCo deployed AI-driven digital twins across manufacturing operations and factory design, using real-time sensor data and machine learning models to run virtual simulations before making physical changes. The deployment covers predictive analytics, anomaly detection, dynamic process optimization, predictive maintenance scheduling, automated root-cause analysis, and factory-configuration simulation, replacing lengthy physical trial-and-error with virtual testing of thousands of scenarios.

PepsiCo announced a multi-year industry-first collaboration with Siemens and NVIDIA at CES 2026 to deploy digital twins and AI across its plant and supply chain operations. Early pilots delivered a 20% increase in throughput and identified up to 90% of potential issues before physical modifications.

PepsiCo announced a multi-year collaboration with Siemens and NVIDIA at CES 2026 to transform plant and supply chain operations using AI-powered digital twins. Central to this is Siemens Digital Twin Composer, built on NVIDIA Omniverse, which recreates every machine, conveyor, pallet route, and operator path with physics-level accuracy.

PepsiCo deployed Siemens Digital Twin Composer with AI agents across U.S. manufacturing and warehouse facilities, achieving 20% throughput increase, near-100% design validation, and 10-15% capex reduction.