Tag
This paper presents a forecast-then-optimize algorithmic pricing tool for fashion e-commerce sales campaigns, using gradient-boosted trees for daily-demand forecasting and multi-objective optimization. A/B tests across 12 markets show the system achieves 6% higher profit while maintaining sales and revenue, and it has been deployed at Zalando.