The rapid digitalization of supply chain operations is transforming how retail organizations manage stock, minimize waste, and meet consumer demand. This study aims to examine the adoption of Automated Inventory Management Systems (AIMS) and evaluate their impact on operational efficiency and cost reduction. A descriptive research design was employed, and primary data was collected through a structured questionnaire from 100 working professionals across diverse industries including retail, manufacturing, and e-commerce. The study analyzes awareness levels, usage patterns, benefits, and challenges associated with automated tools. The findings reveal a high level of awareness (88%) and substantial adoption (62%) within organizations. A majority of respondents reported improvements in stock accuracy (74%) and efficiency through time reduction (68%). However, the impact on productivity was found to be moderate and varied among users. Automated systems are primarily utilized for tracking, forecasting, and report generation. The study concludes that automation has strong potential to enhance inventory management, but its effectiveness depends on proper implementation and user understanding.

Keywords-Inventory Management; Automation; Retail Sector; Operational Efficiency; Supply Chain; Data Analysis