Case Study: RX France transforms manual customer feedback analysis with Feedier

RX France processes 13,000 customer comments a year with Feedier

RX France, the French subsidiary of global events organizer RX, faced a significant challenge in manually analyzing 13,000 customer comments generated annually across its trade shows. This manual process was prone to delays and human error, and their existing internal tool was insufficient for in-depth text analysis, leading to underutilized qualitative data in strategic reports.

Feedier implemented its platform to analyze the meaning and nuance in customer feedback using LLM-based analysis. This solution enabled detailed sentiment and profile-based analysis, transforming NPS reporting into an actionable tool. The results were substantial: report generation time was reduced from several weeks to days, and the insights directly supported strategic decisions, such as renegotiating with vendors and making targeted improvements, ultimately providing granular data for the group's Event Value Plans.

RX France