POTENCIALIDADES DE LA INTELIGENCIA ARTIFICIAL EN LA APLICACIÓN DE ESTRATEGIAS CIRCULARES EN EL MARCO DE LA LOGÍSTICA INVERSA

The circular economy maximizes resource efficiency in a continuous cycle of use and reuse, while reverse logistics manages the collection and recycling of used products by returning them to the value chain instead of throwing them away. Both complement each other by minimizing environmental impact, conserving resources and promoting a more sustainable economy. This work aims to analyze the potential offered by Artificial Intelligence as an innovative approach to Circular Economy strategies within the framework of Reverse Logistics. The method used was the Systematic Review of the Literature. The results obtained were based on the evaluation of key indicators such as the source of supply of materials, gas emissions, consumption and reuse of products, among others, demonstrating that the integration of smart technologies increases the use of recycled materials, reduces CO2 emissions, improves inventory management, maximizes efficiency in the supply chain, minimizes product waste. The application of the work allows companies to identify business opportunities, reduce costs, develop more sustainable products and services and innovate in reverse logistics, allowing them to increase competitiveness, improve environmental impact and encourage environmental conservation.