Within the natural cycle of retail companies, there is the stage of expansion where one of the most critical and high impact processes is the process of selecting the location for new stores. So it is necessary to make the most appropriate decision, which allows in the medium and long term to have fewer risks and losses, and higher profits and sales. This work proposes a Decision Support System for the location of retail stores, which will provide entrepreneurs with available, updated, and relevant information on retail stores, public services, and influxes of people. In addition, the system allows to project and compare for two or more new store locations, the critical indicators: average monthly ticket, monthly influx, total monthly sale, demographic density, amount of competences. To validate the proposed system, 5 case studies were carried out on real stores in Lima, the results obtained for a 6-month projection show high precision in the projection of the indicators, reaching on average 98.64%, 97.29%, and 96.61% for the average ticket, the influx of customers and the total amount of sales, respectively.