Case Study: Worldline achieves smarter UK rail ticketing and journey planning with Neo4j

A Neo4j Case Study

Preview of the Worldline Case Study

Worldline Revolutionizes Train Travel with Neo4j AuraDB

Worldline, a leader in payments and transactional services, was facing the challenge of modernizing the UK rail ticketing ecosystem, where timetable, signaling, reservations, and ticketing data were siloed across legacy systems. The company needed a better way to manage complex journey planning, split-ticketing logic, and revenue allocation across train operating companies, and chose Neo4j Graph Data Platform and Neo4j AuraDB Enterprise to support the effort.

Using Neo4j, Worldline built a graph-based split ticketing service and unified disparate rail data into a single model for more advanced journey planning, routing, and ticketing analysis. Neo4j AuraDB Enterprise gave Worldline a fully managed cloud setup with easier deployment and less administrative overhead, helping accelerate innovation and improve visibility across routes; the initiative is expected to support demand-led timetabling and boost revenues, though exact economic impact has not yet been quantified.


View this case study…

Worldline

Adrian Hepworth

Chief Architect UK&I


Neo4j

166 Case Studies