In recent years retail companies have begun to invest in smaller store models, turning to the convenience service, which seeks to meet the new consumption habits of the population. However, this store model represents a major logistical challenge for companies, once they are small, usually do not have space for inventory and need frequent replenishments. City Logistics presents some obstacles such as traffic restrictions by vehicle type and time windows, making proper routing essential to deliver the right product at the right time and in the right amount, thus ensuring vehicle reduction, distance traveled and logistics costs. In this way, the objective of this paper is to contribute to the optimal replenishment of convenience stores located in large urban centers through an optimization of the routes, considering the traffic restrictions and the time windows available for supply. For this, a case study was done in a retail company using an Excel open source tool to solve the variant of the vehicle routing problem. The tool is used to solve real cases of the company under study, considering the average planning of daily demand as well as the capacity and availability of vehicles, unloading times and time constraints for receiving and circulating vehicles. The study results for the scenarios discussed present a reduction of up to 32 per cent in the company s freight as well as opportunities for operating gains against the company s current operation.