Supply chain management mobile applications have been beneficial in managing real-time orders and tracking of goods, inventory control, and cost optimization. However, the exponential growth of supply chain mobile applications has made it difficult for users to select the optimal application to suit their supply chain needs. Existing mobile app rating tools such as the Mobile App Rating Scale (MARS) and Feature-based Application Rating Method were developed with a focus in the health sector and are also not designed to capture the subjective nature of responses for rating supply chain mobile apps. This study therefore developed the Fuzzy Mobile App Rating Scale (FMARS) for rating supply chain mobile apps. To accomplish this, the study first established the major factors deemed important to the performance of supply chain mobile applications and computed their relative importance weights using the fuzzy Pairwise Comparison method. The factors and their related importance weights were employed in a fuzzy TOPSIS framework to rank selected supply chain mobile apps from Apple Store and Google Play Store based on an established inclusion criteria. Findings suggest that the developed FMARS is remarkably practical for the ranking and selection of mobile apps, especially when rating data solicited is imprecise.