One reason for this is that computer-aided synthesis planning (CASP) inherently focuses on theoretical data-driven synthesis probability, disregarding more specific practical considerations, including diverse experimental conditions in different laboratories, varying budgets of organizations, and personal preferences of chemists. Additionally, despite efforts to improve the quality of single-step retrosynthetic transformations, forward synthesis feasibility prediction remains challenging, partly due to the lack of high-quality negative reaction data. As a result, the generated routes may not be feasible when attempted experimentally, necessitating manual evaluation using the expertise of synthetic chemists or chemical engineers. To assist with selection, CASP tools have attempted to integrate scorers to rank routes according to certain criteria. However, these scorers are often simplistic and fail to account for the multi-objective nature of forward synthesis design and the inherently complex nature of chemical reactivity.