Traditionally, automation has been leveraged extensively in larger warehouses to streamline processes, reduce human error, and increase productivity. However, small-scale warehouses face unique challenges that complicate the adoption of such technologies. This research is structured around three critical questions: Firstly, it delves into the specific challenges these warehouses encounter in adopting automation. Secondly, it assesses the impact of various automation technologies, such as AGV robots, barcode systems, and OCR scanners, on improving efficiency and productivity. Thirdly, it explores effective strategies and best practices for seamlessly integrating these technologies into existing operations.

By employing a comprehensive research methodology that includes surveys, interviews, observations, and leveraging the researcher's hands-on experience as a warehouse specialist, the study provides insightful analyses into the automation landscape for small-scale warehouses. The findings highlight significant barriers such as inadequate funding and disparities in access to technology, despite the pivotal role these facilities play in the logistics sector. The study proposes that government incentives or subsidies could facilitate a more equitable adoption of automation technologies. These insights offer practical recommendations for policymakers and warehouse owners, aiming to foster more efficient, less labor-intensive, and technologically advanced operations within these crucial logistics hubs.