The solid transportation problem (STP) is an advancement of the traditional transportation model that integrates several kinds of conveyance, rendering it applicable to contemporary logistics systems. To mitigate uncertainty in costs, supply, and capacity, we offer an innovative method utilizing the Row Column Reduction Method (RCRM) within a fuzzy framework. The problem parameters are expressed as triangular fuzzy numbers (TFN), and the approach entails resolving upper and lower bound issues in conjunction with the MODI method for optimization. This method diminishes computing complexity and adeptly addresses imprecision providing a systematic solution framework for fuzzy solid transportation issues.