Success case

Fast Fashion: price optimisation

in sales periods

The challenge

A fast fashion brand uses sales periods to sell surplus seasonal stock.


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.