Synthetic ion transporters play a crucial role in the translocation of ions across the phospholipid bilayer, and their biological applications have been investigated for the treatment of channelopathies, cancer, and microbial infections. Despite their therapeutic potential, predicting the ion-transport efficiency of novel receptors remains challenging. Previous efforts to address this issue have included quantitative structure-activity relationship (QSAR) studies involving extensive transporter libraries aimed at developing predictive models; however, these approaches are often time-consuming and costly under current methodologies. Notably, the Hill analysis-commonly employed to determine the EC50 as a quantitative measure of transport efficacy-requires significant time investment, typically allowing only one transporter to be assessed per researcher per day. Furthermore, repeat experiments are infrequently conducted, and the reproducibility of results is often unexplored. The associated time and financial constraints can be particularly limiting for smaller research groups or those with restricted funding, potentially hindering commercialisation efforts.