Optimizing POS Locations


  • Quantify losses due to lack of capillarity in the retail outlet network
  • Identify areas with low (or no) coverage and high sales potential
  • Define areas with the greatest potential for increased net sales, for prioritization in the policy of opening new POS


  • Location and characteristics of POS
  • External geo-referenced data
  • Sales history for POS and type of day


  • Detection models for dark areas and grey areas
  • Predictive models for geo-referenced potential demand
  • Cannibalization models for existing POS


  • Prioritization management for the opening of new retail sales outlets
  • Justification for decisions on the replacement of outlets to be closed


  • Increase in potential sales between 5% and 10% from a network of outlets with greater capillarity
  • Identification, characterization and prioritization of opening of outlets (management efficiency)

This site uses cookies to ensure the best user experience. By continuing to navigate you are giving your consent to cookies being used according to our cookie policy.
Click the link for more information.