Contemporary garment enterprises must exhibit remarkable adaptability to create diverse styles and types of clothing in response to market demands for their survival. Enhanced excellence across all dimensions justifies optimum pricing. In competitive marketplace, cost calculation of garment not only optimum for net profit generation but also necessary to avoid order rejection. During the initial stages of order acquisition, fabric consumption estimates must be established using mathematical approximations before actual marker creation. Among the two commonly employed mathematical methods for fabric consumption, the alignment of specific formulas with particular garment types has not been thoroughly analyzed. The aim of this study is to identify the most accurate method of fabric consumption for various garment categories. For this purpose, six distinct garments have been selected for experimentation: two woven shirts (short and long sleeves) and four knit T-shirts (including two set-in sleeve variations with long and short sleeves, and two raglan sleeve variations with long and short sleeves). Pattern making and grading were executed using specification sheet measurements, followed by marker creation utilizing Boke CAD software. Subsequently, fabric consumption for all six garments has been compared using 3 fabric consumption methods: one marker planning method and two mathematical methods. Although the marker planning method is well-established as the most accurate means of fabric consumption determination, its usage requires pattern and marker preparation prior to production. This limitation necessitates using mathematical formulas during the preliminary stages for cost calculations and order processing. The comparative analysis highlights that neither mathematical formula is universally suitable for all garment types, suggesting that specific formulas should be applied to distinct garments. As such, this guideline is a valuable industry resource, preventing unnecessary fabric wastage caused by misusing mathematical formulas and thereby contributing to sustainability efforts.