Case Study: Sunhotels achieves automated complex data analysis and scalable booking insights with Elastic

Using Elastic Machine Learning to Automate Complex Data Analysis at Sunhotels

Sunhotels, a B2B online travel provider now part of Webjet, was hit by exponential data growth—requests per second rose from about 600 to over 4,000, totaling hundreds of millions of requests and thousands of bookings daily from thousands of agencies and aggregators. The company needed a platform that could ingest massive, diverse search and booking metadata and surface actionable insight (for example look-to-book ratios and hidden sales blind spots) faster than their SQL-based tooling and manual processes allowed.

Sunhotels extended its long‑standing Elasticsearch deployment and adopted Elastic X‑Pack machine learning to automatically analyze 15+ fields per request, replace and augment 12 bespoke “robots,” and incorporate seasonality and cross-index correlations without custom integration. The result: shared dashboards across teams, faster detection of behavioral trends, profile-driven pricing and contracting changes, more bookings with less traffic, and dramatic efficiencies in processing time and engineering effort.

Sunhotels