Case Study: a leading international airline company achieves 1,500% ROI from inventory polling optimisation with SolveXia

Airline Alerts and Analytics for Excessive Polling

The airline, a leading international airline company, faced significant and unpredictable costs from third-parties excessively polling its seating inventory system. These fees, charged by their reservation system provider, were often generated by automated bots or non-revenue producing partners. Their challenge was to analyze massive volumes of polling data to identify and manage this costly activity, a task that was too laborious and complex for their staff to handle manually with spreadsheets. They turned to SolveXia for an automated solution.

SolveXia implemented a system to automatically collect, cleanse, and analyze approximately 75,000 daily polling data sources. The solution blended this data with passenger and revenue information to detect anomalous behavior and provide actionable alerts. This allowed the airline to block rogue bots and optimize partner activity. As a result, SolveXia helped the airline achieve a 1,500% ROI within 12 months and created a valuable stored dataset for further business analysis.