Fuel Price Optimization

Our client is one of the largest fuel-oil distributors in Turkey
  • In order to respond to market changes, our client needed to dynamically determine the optimum price for three different fuel types in selected filling stations
  • Developed sophisticated algorithms to identify the optimum fuel pricing considering the market price and distance to the distribution centers
  • Built a data lake to store the required data sets and model output
  • Identified KPIs and created dashboards to enable continuous model and process improvements by analyzing different scenarios
Tool Stack
  • AWS, Python, PowerBI



Revenue increase

Fast and effective market response

Automated and simple BI dashboard