Warehouse logistics optimization: maximizing space, time and reducing costs

Abstract

The objective of this article is to analyze how warehouse logistics optimization, through the
implementation of advanced technologies such as artificial intelligence (AI), the Internet of Things
(IoT), and Autonomous Mobile Robots (AMR), impacts business competitiveness. The
methodological approach is qualitative, based on the documentary analysis of secondary sources,
including studies on automation, efficient space management, and inventory optimization.
Quantitative data were used to identify common patterns and assess the strategies applied in modern
warehouses. The results show that warehouse logistics optimization enables the maximization of
space utilization, reduction of operating costs, and improvement of process efficiency through
automation and predictive analysis. It is evidenced that the adoption of smart storage systems and
real-time inventory management enhances response capacity and customer satisfaction. Moreover,
companies implementing these technologies can anticipate demand, avoid stockouts, and operate
more profitably. In conclusion, warehouse logistics optimization not only contributes to business
competitiveness through cost reduction and operational efficiency improvement but also promotes
sustainability. Companies prioritizing digitalization and automation in their warehouses will be better
positioned to face the challenges of the global market.