Construction in the unorganized sector is generally done on the basis of past experience of the project managers. Ordering materials for different stages is one such activity that is carried out as per the tentative completion of the predecessor activities. Experience is an important factor in decision-making. However, an approximation can sometimes lead to a deviation from desired results that may substantially increase project costs and extend the project completion time. In this paper, the experience of project managers regarding project completion has been linguistically recorded and used to quantify and formulate an ordering policy model using the Fuzzy Mamdani approach. The proposed model provides the required output promptly when instantaneous inputs are fed into the model. The data set utilized to showcase this approach has been provided by a small construction firm in North Delhi, India and a framework for ordering policy is proposed. It aims to determine the ideal time for ordering a certain quantity of material. This study aims to minimize subjective decision-making in order placement, assisting professionals in reducing inventory storage.