In this work, a new modified version of the stepping stone method (SSM) is introduced to solve the transportation problem (TP) after we get the basic solution by using the north west corner method (NWCM). As it known, in the traditional method, when making a loop for the empty cell, it takes the first negative value, while in this work, we take all negative values. We start by taking all the values, either the most significant negative or the smallest negative, and then by applying some steps, we get the optimal solution. The numerical experiment shows the goodness of the new suggested technique. The proposed modification enhances the accuracy and convergence speed of the classical SSM by reducing the number of iterations required to reach optimality. Moreover, it provides a systematic way to explore multiple potential loops simultaneously, ensuring that no feasible path toward optimization is neglected. Comparative results reveal that the method achieves better cost minimization and computational efficiency, making it a practical and effective alternative for solving complex transportation problems in real-world applications.