Case Study: United States Army achieves rapid cost analysis and accurate parts ordering with Neo4j

Graph Technology Keeps the Army Up and Running by Tracking and Analyzing Equipment Maintenance

The U.S. Army, which procures and maintains millions of parts for weapons, vehicles and aircraft every year, struggled with a slow, expensive and inflexible mainframe system that made it difficult to combine massive bills of materials and run rapid “what‑if” analyses for procurement, budgeting and logistics—capabilities critical to readiness and soldier safety.

CALIBRE migrated the Army’s core logistics data to a hosted Neo4j graph database (handling over 118 million nodes and 185 million relationships), enabling fast, connected queries and visualizations. Analyses that once took about 60 person‑hours now take 7–8 hours, infrastructure staffing dropped from nine to two, and ordering, budgeting and parts delivery are more accurate and predictable—reducing costs and helping prevent equipment failures in the field.

United States Army