In the context of sustainable fishing, amidst global change, prior knowledge of the boundaries of each studied population is required. In this study, innovative automated analysis of the three-dimensional (3D) shape of red mullet otoliths from the Mediterranean Sea was compared to conventional two-dimensional (2D) analysis. It was concluded that this new three-dimensional shape technique was more accurate in delineating the stock, whether using unsupervised or supervised classification.