Since digitalization is a big deal in the world of social economics and development, it stands to reason that conventional clothing businesses’ manufacturing methods would benefit greatly from applying digitalization to their design systems. In the digital production mode of clothing firms, traditional clothing design cannot address the issue of incorrect clothing design and manufacturing process, and the assessment is inappropriate. Hence, a genetic algorithm is suggested in this work as a means of analyzing digital clothing design systems in a novel and optimal way. To begin, the designer is assessed using the principles of fashion design. Then, the indicators are split according to the needs of the digital clothing design system in order to make them more concise. Challenges with digital clothing creation platforms. Afterwards, a thorough examination of the outcomes of the digital clothing design system is rectified by using the principles of fashion design theory to the digital clothing design system as it pertains to the method of production for clothing firms. The applicability of genetic algorithms to digital clothing design systems of clothing firms’ production modes is superior to conventional clothing design, according to MATLAB simulations run under certain assessment criteria.