Neo4j
166 Case Studies
A Neo4j Case Study
SITA, the global airport IT specialist, needed a better way to match lost items with found items across airports and aircraft, where descriptions often vary and hundreds of possible matches must be checked. To solve this connected-data challenge, SITA used Neo4j graph technology in its WorldTracer® Lost and Found Property (LFP) application.
With Neo4j, SITA built a graph-powered suggestion engine that analyzes item attributes and relationships to quickly surface likely matches for staff to confirm. The results were dramatic: registration of a found item dropped from hours to about 30 seconds, full reports take about a minute, tracking and matching happen in microseconds, the system provides 24/7 real-time visibility across millions of items, and duplicate inbound call volume fell to zero.
Aidan Fries
Lead Developer