This poster investigates the design, positioning, and fixation of customized glenoid components in Reverse Shoulder Arthroplasty (RSA) using virtual population-based anatomical design to address challenges in achieving optimal fit, functionality, and patient-specific geometry. Utilizing an anatomical dataset of 230 scapula bone models and 25 RSA surgical plans, the study applied virtual population analysis software and Python scripting to identify fixation points and implant positioning. The results demonstrated that virtual population-based design yielded superior implant fit and screw fixation compared to traditional implant designs, achieving full screw fixation in 88% of cases across the dataset. Key fixation points for stable implant positioning included the Superior Glenoid, Coracoid, and Acromion regions. This methodological approach shows potential for streamlining semi-custom implant design and improving outcomes in orthopedic surgeries requiring complex implant customization.