Generative design in CAD software, driven by cloud computing and AI, optimises 3D models for various industries. It focuses on improving manufacturability and reducing mass within design and cost constraints. This research targets minimising the mass of the wheel assembly, including A-Arms, Upright, Wheel Hub, Brake caliper, and Rims. Mass minimization is essential as a lighter wheel assembly contributes in improving fuel efficiency, braking performance and promotes sustainability as it reduces carbon emissions. The components designed in Solid Works are optimised using Fusion 360, considering input parameters, materials, design constraints, and manufacturing requirements. Finite Element Analysis (FEA) in ANSYS under Static Structural conditions evaluates the feasibility of the design. On comparing the initial and final models respectively based on parameters like Factor of Safety, and Von Mises stress with the prime objective being mass optimization, a 27.94% mass reduction of the assembly is achieved as a result of generative design while maintaining the structural integrity and improving the performance characteristics of the vehicle witnessed a remarkable change.