Global Combat Support System

The Global Combat Support System-Army (GCSS-Army) is designed to enhance the Army's logistics capabilities by ensuring a seamless flow of timely, accurate, accessible, and secure information. This initiative is crucial for transforming the Army into a network-centric, knowledge-based force. It aims to replace existing logistics and maintenance systems with an enterprise approach that encompasses supply, maintenance, ammunition, aviation, and property book management. The program's goals include streamlining supply chains, improving accountability and maintenance processes, and enhancing distribution and reporting procedures.

In FY 2025, GCSS-Army will continue its modernization efforts for its Enterprise Resource Planning (ERP) systems to address obsolescence issues. This involves integrating new business system capabilities that streamline core business functions across the Army. The program will focus on market research of industry best practices and developing an Army Enterprise Development Environment for prototyping. This environment will feature cloud-hosted infrastructure and applications to support requirements development while reducing risks.

The program also emphasizes continuous enhancements to support audit-related fixes and cybersecurity updates. Planned improvements include G-Invoicing, Enhancement Pack 8, and follow-on Identity, Credential, and Access Management (ICAM) initiatives. These enhancements aim to improve privilege user access management and implement zero trust principles. Additionally, the program will complete software solutions for disconnected supply operations, ground maintenance, accountability, and Store and Forward Capability.

Moreover, integrating the Advanced Manufacturing Data Repository (AdvM DR) is a priority for GCSS-Army. This effort will enable the Digital Thread within Army ERPs by integrating AdvM capabilities with the Army Futures Command's Enterprise Product Management system. The goal is to automate the transfer of product configuration data to ensure accuracy and maintain configuration control of advanced manufacturing print data. This integration is expected to significantly reduce manual efforts while ensuring data accuracy across systems.