Luxury Beauty Retailer
Transforms Pricing Across
Europe with AI Optimization
This case study explores how Flaconi, a leading German-based online beauty retailer,
optimized pricing across multiple European regions using Competera’s AI-powered pricing platform.
Competing in a highly aggressive market with deep discounting, Flaconi needed a strategic
solution to balance competitiveness and profitability. By leveraging AI-driven automation,
the retailer reduced pricing process time by 50% and transitioned to daily price updates,
enabling sustainable margin growth across its 40,000+ product portfolio.
Executive Summary
Flaconi, one of Europe’s premier online beauty retailers, operates across multiple regions, managing a vast assortment of over 40,000 luxury beauty products. Competing in an aggressive beauty market, Flaconi faced growing pressure from competitors engaging in high-discounting strategies. The company needed a pricing transformation that would enable smarter, more sustainable pricing decisions without sacrificing efficiency.
Challenges
- Highly competitive beauty market
with many players relying on deep discounts - Manual, time-consuming pricing processes
- Lack of clear visibility into margin growth opportunities
- No unified system for automated
price adjustments and demand-
based optimization
Solution
Flaconi implemented Competera’s AI-powered Pricing Platform across seven European markets, enabling:
-
Automated Daily Pricing – Shifted from manual to AI-driven pricing updates
-
Competitive Data Analytics – 235,000 SKUs monitored across 32 retailers
-
Portfolio-Level Optimization – Identified key value items and demand-based elasticity insights
- Advanced Scenario Planning – Improved markdown optimization
and pricing strategy flexibility
Key Results
50%
reduction in time spent on pricing processes
“We chose Competera for the functionality of the platform, having a wide variety of features and offering a solution to simplify our complex pricing process. We managed to decrease the time needed for the pricing process by half and switched to daily pricing rounds—definitely simplifying our pricing operations.”
CONTINUED PARTNERSHIP
Following the successful rollout, Flaconi is expanding the use of Competera’s AI-powered pricing to five additional countries, including the Nordics and the Czech Republic. The next phase will introduce a demand-based pricing model, further strengthening their pricing capabilities across the dynamic e-commerce landscape.
Download the full case study
for more detailed insights.
Download pdf
Decreased time for manual assortment analysis
Decreased time for manual assortment analysis
Fortune 500 Department Store Boosts Online Revenue by 40% with AI Price Optimization
Luxury Beauty Retailer Transforms Pricing Across Europe with AI Optimization
Pilot Results: How the Supermarket Chain Increased Profits by 7%
Want to give feedback or ask a question? Email us at info@competera.ai