Case Study: a leading airline achieves faster customer issue detection and complaint handling with Warwick Analytics' PrediCX

Leading Airline uses PrediCX as an early warning system for Voice of Customer

a leading airline company faced the challenge of analyzing its extensive Voice of Customer (VoC) data, which included tens of thousands of monthly surveys, complaints, and other feedback. The airline's internal team was overwhelmed by the manual work required to classify this data using text analytics, and they struggled to maintain accurate models over time as new contexts emerged. Warwick Analytics implemented its PrediCX solution with Optimized Learning technology to address these issues.

The solution from Warwick Analytics enabled the airline to classify its VoC data more accurately and with dramatically less manual effort. Using PrediCX as an early warning system, the airline could pinpoint issue hotspots, run predictive analytics to understand causes and financial impacts, and improve complaint handling. This led to significant improvements in customer experience processes, increased efficiency, and the ability to turn customer complaints into positive advocacy.