This dissertation presents a new automated tool to evaluate the processes of Supply Chain Management (SCM) based on the SCOR reference model, one of the most used models in the industry, according to the literature, but that still presents significant challenges for its adoption, notably in regards of its complexity and cost. To address these aspects, this work specified the functional requirements and a database with the whole SCORE structure, and implemented a prototype of the tool called Supply Performer, innovative because it helps SCOR deployment without the need of deep knowledge about the model, neither the hiring of a specialized consulting. To validate its applicability and generalization, the tool was used on a real case scenario and a 25 percent gain was observed in the diagnosis task of the clients and supplier registration process of a large multinational company. The tool also allowed the creation of a plan of action, and based on the identified gaps, to follow up the process improvement evolution. Its use enabled a quick delivery of results to the client, in a structured and organized way, turning SCORE into a more accessible model. On the basis of the promising results, the patent for the Supply Performer tool was registered on the INPI (Instituto Nacional da Propriedade Industrial) BR 51 2018 000240-4.