A supplier is an essential part of the supply chain, which helps an organization achieve its sustainability goals. There are a few multi-criteria selection methods considering both quantitative and qualitative elements. In this study, the author suggests a combined AHP-GRA model to solve this problem. The analytic hierarchy process (AHP) technique determines the weight criteria. This weight is used by the gray relational analysis (GRA) approach to get the overall performance measure of the supplier. A case study in a handicraft export company is applied to illustrate the proposed methodology. The result successfully incorporates the quantitative factors and the evaluation of each distinguished judgment. With ten providers, the business may thus rate and choose the best one. Additionally, the author uses Qt Designer to create an interface and programs the model in Python to automate the supplier selection. It reduced the rate of late inbound orders to the warehouse by 10% compared to the initial rate and decreased the percentage of delayed warehouse arrivals by 10%.