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Optimizing the average ticket in station stores: REPSOL

The company has the purpose to increase the average ticket of the stores excluding spending on gasoline.
It is necessary to predict the most optimal patterns to replicate them in other stores, using historical data and data mining.


  • Why is this store so beneficial? Which are the most important predictors?
  • Which is the best timetable for a store?
  • Which products should the store have in a specific geographical area?
  • Can I replicate a star store in other places?