The objective of research is to accurately simulate the virtual cloth draping by comparing real fabric draping on a physical mannequin with the virtual draping on a virtual mannequin. This research will aid the development of an algorithm, which will accurately describe draping for various fabric types by taking into account the mechanical properties of the fabric. Material behaviour depends on many factors including the fibre, yarn, manufacturing process, fabric weight, textile finish etc. For this study, five different fabric types with very different mechanical properties were selected and evaluated for all of the above fabric characteristics. Bending, shear and roughness properties were calculated using the KES system (Kawabata). This study will consider current research using the KES system to understand and simulate fabric folding on the virtual body. Testing will help to determine, which material properties have the largest impact on the fit of the garment. By developing an algorithm, which factors of the body type, material type and clothing function, it will be possible to determine how a specific type of clothing made from a particular type of material will fit on a specific body shape and size. A fit indicator will display areas of stress on the garment such as shoulders, chest, waist and hips. Using these data, CAD/CAM software can be used to develop garments that fit with a very high degree of accuracy. Therefore, research aims at providing an innovative solution for garment fitting, which will aid in the manufacture of clothing. Presented research will help the clothing industry by cutting the cost of the clothing manufacturing process and also reduce the cost spent on fitting. The manufacturing process can be made more efficient by virtual fitting of the garment, before the real clothing sample is made. Fitting software could be integrated into clothing retailer websites allowing customers to enter their biometric data and determine how the particular garment and material type would fit to their body.