The rapid expansion of e-commerce and the growing demand for faster delivery have significantly reshaped the role of warehouse logistics in modern business. Traditional warehouse management methods are no longer sufficient to handle the rising volume of goods, underscoring the urgent need for innovative technological solutions. This study focuses on the evolution of smart warehousing—from basic barcoding systems to sophisticated technologies involving robotics, drones, and artificial intelligence. A noticeable gap remains in the academic literature between theoretical research on warehouse optimization and its practical applications. While many publications emphasize technical advancements, they often overlook the economic and social implications of automation. Moreover, there is a lack of interdisciplinary research that bridges technological innovation with the transformation of business models and the evolution of labor relations. This article analyzes key technological trajectories and demonstrates how the integration of digital twins, predictive analytics, and autonomous robotics not only enhances operational performance but also fundamentally redefines warehouse management practices. The insights presented are relevant for logistics company executives, technology developers, infrastructure investors, and supply chain management researchers.

warehouse automation, smart storage, unmanned aerial vehicles, artificial intelligence, predictive analytics

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