JFrog Artifactory offers extensive build information that can be challenging to manage as organizations grow, leading to potential inefficiencies in data storage. By utilizing Artifactory Query Language (AQL) alongside JFrog CLI, users can efficiently manage storage and maintain high performance by executing precise queries on interconnected domains such as Items, Build, Entry, and Promotion. For example, a specific query can identify unused artifacts based on criteria like file type, size, and creation details, allowing for targeted cleanup of storage space using JFrog CLI commands. Before deleting files, users are advised to perform a dry run to simulate execution, ensuring accuracy. The flexibility of AQL, combined with the automation capabilities of JFrog CLI, provides a powerful toolset for managing both current and future artifact storage needs, enhancing the efficiency and reliability of data management processes.