Machine learning for public and private tenders

In order to determine the supply of laboratory diagnostic devices, public entities (such as hospitals and ASLs) and private operators usually launch competitive purchasing procedures. To participate in such tenders, suppliers must prepare a very complex and articulated technical and economic proposal. This activity involves a considerable commitment of qualified resources of the company.
Our team has developed a software that drastically reduces the time required to prepare the proposal, facilitating access to the necessary information. Our solution is fundamental to support the analysis of competitors' positioning and is based on machine learning algorithms applied to data from past tenders, therefore enabling the construction of a pre-competitive scenario.