Transshipment problems are a specialized form of transportation problem where items are conveyed from an origin to a destination through certain intermediate points (sources/destinations), with changing modes of transportation or consolidating or deconsolidating shipments. In the period of e-commerce, these issues have found a broad range of applications. Knowledge of variables like demand, supply, related costs, time, etc. is necessary for formulating transshipment problems. But there are many kinds of uncertainties that arise when formulating the transshipment problem mathematically because of things like a lack of precise information, hesitations when defining parameters, unattainable information, or whether conditions. The relevant parameters can be represented as neutrosophic trapezoidal fuzzy numbers, which is a cooperative way to deal with this kind of uncertainty. In order to solve the neutrosophic fuzzy multi objective transshipment problem (MOTrP) in the best possible way, a new algorithm is provided in this study. This proposed method is simple to establish and take less time. The feasibility and application of the proposed problem are demonstrated using a numerical example. Finally, discuss our conclusions as well as our study’s intended outcomes.