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In online apparel market, there is a high return rate mainly due to the size mismatches. As a solution, Virtual garment technologies have been introduced for finding apparels with precise fit whereas most of these technologies are categorized under commercial 3D applications. Therefore, suitability of these 3D applications to check the fitness of selected garment item to a particular user in online marketplace is less due to network latency issues, the need of high user intervention and computational power albeit to the ability of providing highly accurate fitness for a selected garment. Within this paper, a lightweight solution is presented which assists the decision making process of end users in the online market to select perfectly fitted garment by considering human body measurements and garment measurements. The suggested fitting model is consolidated with 2D patterns of human body and finished garments …