Case Study: Forever Thirsty achieves self-service analytics with AI agents from FELD M

Forever Thirsty unifies 3 data sources with FELD M for self-service analytics

Forever Thirsty, a natural wine shop in Munich, faced the challenge of unifying data from its point-of-sale system, online shop, and event platform to make operational decisions. Their small, non-technical team lacked the capacity and budget for regular data analysis, and their three separate systems could not share common definitions for products or orders. FELD M was engaged to address this.

FELD M implemented a solution using Veezoo, an agentic analytics platform. They first unified the data sources in BigQuery using dbt to create a single semantic layer with consistent business logic. This allowed the team to explore data conversationally. FELD M also deployed AI agents to automate recurring reporting and proactive analysis, such as monitoring revenue against targets and diagnosing website friction. The result empowered Forever Thirsty's team with self-service analytics, enabling them to get answers without writing SQL and to receive automated, actionable insights directly to their email or Slack.

Forever Thirsty