Case Study: Goodiebox achieves 300 hours/month saved in manual tagging and faster member-centric insights with Chattermill

Goodiebox - Customer Case Study

Goodiebox, a Copenhagen-based e-commerce subscription service with over 200,000 members across 9 countries, faced rapid growth-driven spikes in customer conversations that overwhelmed their Dixa-powered support team. Manual, multilingual tagging during tight 1–2 day peaks made it impossible to scale analytics and left teams reactive rather than member-centric, so Goodiebox turned to Chattermill to process their Dixa Team Happiness data.

Chattermill’s integration with Dixa automated topic and feedback labeling using custom AI models and provided Conversation Analytics plus instant anomaly alerts, surfacing root causes and routing insights to the right teams. The Chattermill solution enabled Goodiebox to process over 20,000 conversations per month, save roughly 300 hours of manual tagging monthly, and shift from firefighting to prioritized, member-focused action.

Goodiebox

Lisa-Maria Bruns

Director of Business Intelligence