Design for manufacturability is considered part of the general skill set of mechanical engineers. However, the requirements in practice are significantly more complex. An approach that uses learning algorithms to set parameters and requirements for specific manufacturing processes, materials, tools, and machines related to component geometries is presented. This approach is evaluated, and forecasts are created. A user interface is being developed to integrate the approach into the working environment of design engineers. This interface is designed to equip engineers with the pertinent information necessary for informed design decisions regarding component geometry. The efficacy of this assistance system, encompassing both the system itself and its user interface, was empirically evaluated in the present study. The results indicated that the system was perceived as helpful by the study participants, and the usability of the user interface was favorably assessed.