What Can Machine Learning Do for the Public Procurement?

We present the systematic work we conducted on the data about public procurement in Italy. The goal is to clean and integrate various public and open information sources and extract valuable information for the public sector and the companies interested in awarding a contract with the Public Administration. Included in the data analysis is the Regional Administrative Justice that receives recourses from the involved actors. This information coming from recourses is potentially useful for revealing some of the anomalies related to the incorrect behavior of the partners. The obtained results can also make lighter the administrative judges’ workload.