Case Study: Major US Airline Company achieves real-time customer experience improvements and 30-day analytics capability with Gathr

Superior omni-channel customer experience for a major US airline

Major US Airline Company, which operates roughly 4,500 flights a day, was overwhelmed by rapidly growing high‑speed customer and operational data — nearly 5 TB/day at about 7,000 events/second — and its traditional stack could only search two days of logs. To address this, the airline selected Gathr and its cloud‑native, Spark‑based data pipeline platform (Gathr Spark Pipeline) to handle real‑time ingestion, enrichment and transformation of streaming and batch data.

Gathr deployed a pipeline ingesting JSON via Kafka, processing on YARN with the Gathr Spark Pipeline, and indexing into Elasticsearch with a custom web UI for diagnostics and queries; data is cleansed and prepared as it arrives. As a result, Gathr expanded the airline’s searchable window from 2 days to 30 days, enabled real‑time outage detection and predictive customer‑classification alerts to contact centers, and delivered faster issue resolution with higher conversions and improved customer satisfaction.