We investigated methods to improve the prediction of landslides triggered by heavy rainfall in southern Chile, utilising local soil and climate data. We tested different models and selected the most critical environmental factors. We improved the process for making forecasts in areas with limited monitoring. Our results help create faster and more reliable warnings and can guide safety planning in other mountain regions facing similar risks.