The dynamics of modern commerce, particularly in Quick Commerce (Q-commerce) and micro-fulfillment centers (MFCs), are reshaping traditional supply chain paradigms. Challenges abound, from profitability in Q-commerce to operational intricacies in MFCs, necessitating innovative solutions. This study explores the development of a Quick Commerce Inventory Classification (QCIC) model for inventory management and order fulfillment processes. Leveraging data from an e-grocery company, the model categorizes Stock Keeping Units (SKUs) based on turnover, sale velocity, and order frequency metrics. The results reveal insights into SKU prioritization and the interconnectedness of these metrics in Q-commerce operations. Moving forward, implementing class-based storage, and optimizing picker routing in micro-fulfillment modeling hold promise for enhancing efficiency in warehouse operations and meeting the demands of the fast-paced Q-commerce landscape.