The Chilean wine industry is economically and culturally vital, providing direct employment to over 100,000 people and accounting for the 16.5% of the Chilean agricultural operations. As the leading wine exporter in Latin America and the fourth globally for over two decades, Chilean wine industry plays a significant role. However, it also faces challenges such as climate change, water scarcity, and rising production costs that affect its competitiveness. A key stage in wine production worldwide is the final wine filtration which is critical for product quality and demands expensive resources and machinery utilization, including labor, chemicals, water, and filtering media and equipment, increasing costs and causing operational issues. The Laurenty filtration index, widely used in Chile, aims to estimate the solid content's impact on wine's final filtration. Despite its utility, discrepancies between expected and actual system performance often occur, leading to reduced bottling rates, unplanned cleaning stops, and sudden filter changes, significantly affecting production costs and packaging process continuity. These operational challenges necessitate urgent attention and effective solutions to maintain the industry's competitiveness. The adoption of comprehensive indicators to estimate the level of solids in wine and their impact on the final bottling process is investigated, alongside evaluating predictive models to estimate the expected value of Filtration Index (FI) associated with the wine’s physicochemical variables. This research contributes to the development of robust and reliable methods for operational decision-making in the final stage of wine filtration and bottling. It establishes that the Random Forest model efficiently predicts the FI level of a wine sample by analyzing a set of 12 physicochemical parameters.