Georgia Pacific Scaling App

Digitizing Georgia-Pacific’s Supply Chain

When inefficiencies in manual log scaling and quality review began to limit speed, consistency, and scalability, Georgia-Pacific recognized the need for a more modern digital approach. To improve operations across its forest products workflows, a new solution was developed that combines mobile technology, backend integration, and AI-driven quality assurance. The result is a more efficient, scalable process for weighing, inspecting, and grading inbound timber and wood fiber across high-volume facilities.

The Challenge

Georgia-Pacific’s existing manual process for inspecting, scaling, weighing, and grading timber and wood fiber was error-prone, inconsistent, and increasingly difficult to scale. With more than 2 million truckloads moving through paper and pulp operations, the business needed a more efficient and reliable digital solution that could reduce operational friction while supporting future growth and changing facility requirements.

The Solution

Following a deep discovery process with internal stakeholders and technology partners, an integrated mobile application was designed to streamline the inbound load process for drivers and site teams. The app enables drivers to enter purchase order information and weigh loads through a simple, intuitive interface that integrates with onsite scaling technologies to automatically begin capturing information upon arrival. Computer vision, AI, and machine learning were incorporated to conduct quality assurance of inbound wood and fiber, replacing inconsistent manual review with a more standardized and scalable process. The platform was also built to support future workflows, configurations, and site expansion across Georgia-Pacific’s paper and pulp facilities.

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The Impact

The solution helped Georgia-Pacific digitize a highly manual, paper-intensive process at immense scale. By improving speed, consistency, and usability for drivers and operators, the new platform mitigates existing operational shortfalls while creating a more flexible foundation for long-term process improvement across facilities.

Savings

$50M

annually

Automation

2.1M

inbound truckloads automated

Improvement

25%

in order accuracy and timing

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