Case Study: Flaconi Achieves Faster Multi-Regional Pricing with Competera

Luxury Beauty Retailer Transforms Pricing Across Europe with AI Optimization

Flaconi, a leading German online beauty retailer, needed a smarter way to manage pricing across multiple European markets in a highly competitive beauty sector where deep discounting is common. The company wanted to reduce manual pricing work, improve pricing intelligence, and maintain profitability while handling a large assortment of more than 40,000 luxury beauty products.

Competera implemented its AI-powered Pricing Platform and Competitive Data solutions for Flaconi across seven regions, enabling daily automated repricing, real-time competitor monitoring, and rules-based optimization with scenario planning and markdown support. As a result, Flaconi cut the time spent on pricing processes by 50% and simplified operations significantly, while laying the groundwork for expanded demand-based pricing capabilities with Competera.

Flaconi

Corina Manea

VP Commercial