Sorting vegetables is essential to obtain quality vegetables when they are received. Thus, it can be linked to the accuracy in the balance of demand and supply. Fuzzy inference system is used for sorting fresh and non-fresh vegetables, followed by ABC analysis to classify vegetables that will be prioritized based on the highest sales revenue. Fuzzy variables based on the characteristics of vegetables of visual and storage temperature are used to determine the shelf life and quality of vegetables as a decision model in sorting out which priority level should be sent first to the customer. Therefore, the Sugeno method is implemented to help decision making in the company effectively and efficiently. This model is developed by making quality warning procedures based on a more accurate inventory because of the increased demand. It can reduce the lack of stock due to poor quality to avoid the company to experience deprivation and loss of sales.