A data collection instrument was designed and applied to achieve this objective, grounded in theoretical frameworks from previous research and specialized bibliographic references. The methodology involved direct interaction with nanostore owners, field observations, and the use of descriptive statistics and multiple correspondence analysis for data processing. The findings revealed the most common ways in which nanostores operate in terms of supply, inventory, and warehousing. Several deficiencies in logistics management were also identified, including a lack of inventory control, supplier-related issues, inefficient storage practices, and low adoption of technology. As a result, common elements of logistics performance and potential indicators were established to support the measurement and evaluation of the effectiveness of each activity. The implications of this research lie in its contribution to the understanding of logistics in the traditional channel, providing a foundation for future studies and facilitating the design of strategies aimed at enhancing the sector’s operational performance.