Georgia-Pacific Uses Causal AI to Streamline Operations and Boost Productivity
-
Implemented Causal AI system to optimize complex order management process, increasing touchless order throughput 10X and resolving errors in seconds
-
System incorporates knowledge graphs to model deep cause-and-effect relationships influencing product attributes like softness
-
Learns from and assists human experts in decision-making, building trust and adoption
-
Applied across areas like transportation monitoring, automated replenishment, and demand forecasting beyond order management
-
Developed with Parable.ai using their Causal AI technology and Vassar Labs interface, proving value of Causal AI in complex manufacturing