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?

Apara is a company born in 2002 with 100% Spanish capital as a spin-off of the Quality and Technology Group. More than fifteen years of experience in Predictive Analytics and Business Intelligence prove its success. Apara has developed dVelox, the first Spanish business platform regarding Predictive Analytics mentioned by Gartner in more than 15 reports. 

C/ Juan Hurtado de Mendoza
1st Floor A, Madrid (Spain)
Tlf: +34 91 144 06 00
Fax: +34 91 304 49 15