Success case
Fast Fashion: price optimisation
in sales periods
The challenge
A fast fashion brand uses sales periods to sell surplus seasonal stock.
Objectives
Maximise profits during the sales period and minimise remaining stock. To do this, it will be necessary to forecast sales of sale items based on price and optimise prices according to these forecasts and existing business rules.
Services performed
- Time series Forecast
- Gradient Boosting
- Optimisation
- AWS
- Databricks
- MongoDB
- Apache Airflow
Results provided
The customer has increased its profits by 2% to 3% during sales periods.