ManufacturingCase Study

Georgia-Pacific: AI-Powered Knowledge Hub Cuts Manufacturing Downtime, Saves Millions

Georgia-Pacific: AI-Powered Knowledge Hub Cuts Manufacturing Downtime, Saves Millions

·11 min read
Georgia-PacificPaper & Forest Products Manufacturing30,000 employees · 140 facilities · $20B revenue

Key People & Companies

ChatGP

Georgia-Pacific · Internal

Operator Assistant

Georgia-Pacific · Internal

Roshan Shah

VP – Applied AI & Products at Georgia-Pacific

Docgen

Georgia-Pacific · Internal

Georgia-Pacific

Amazon Web Services

Primary cloud and AI platform provider for ChatGP deployment

Amazon Bedrock

Amazon Web Services · Platform

Manish Sinha

VP of IT and AI Architecture Delivery at Georgia-Pacific

+ 9 more entities in the full study

Key Results

  • Estimated millions in potential savings annually across 140 facilities from reduced machine downtime, lower off-quality production, and minimized waste, according to the AWS case study.
  • Scaled from MVP deployment on 2 machines in December 2023 to over 20 production instances across 45 sites within 8 months, serving 500+ daily users with 10% monthly growth in weekly usage.
  • Reduced troubleshooting time from 1-1.5 hours per issue to seconds by providing automated root cause analysis and recommended actions. As Senior Manager of Digital Transformation Ryan Holbird stated, 'Using generative AI to pull together information from various sources for quick and easy answers has been a game-changer for us. It's like having a digital expert who's always there, ready to help both new and seasoned operators find the right answers fast.'
  • + 4 more results inside

We have equipment that's 50 years old, and for many of these machines, we lack proper documentation about operating procedures. That knowledge exists in the minds of our experienced employees. We've built a capability where we can record a conversation between multiple subject matter experts or retired employees, and a large language model summarizes the discussion. The output is a document that looks as if it were created by the manufacturer, and the relevant knowledge becomes instantly available to all applications referring to the large language model.

Roshan Shah, VP of Applied AI & Products at Georgia-Pacific

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