Decision making models based on neutrosophic theory are highly compatible in designing optimal solutions to the selection based decision making problems. This paper proposes Neutrosophic Operational Competitiveness Rating (NOCRA) which is an improvised and extended version of OCRA. The proposed method is applied to a decision making problem of fertilizer selection with ten alternatives and four core criteria. Sensitivity analysis of the ranking results is in favour of the neutrosophic version of OCRA in comparison to the conventional OCRA. The newly developed method in this paper is more promising as it yields more consistent ranking results.