The main objective is to reduce the large amounts spent on new players, as well as the many lending.
According to Reuters, which had access to the report delivered to the leadership of the world football federation, there is a proposal to adopt a machine learning algorithm. The main objective is to reduce the overpayments (especially) spent on young footballers.
At the same time, it is envisaged to impose a special "luxury tax" on those who spend too much money on their aid and to allocate money to a charitable fund. Also, it is sought to control the number of players granted and obtained in the form of borrowing.
The first thought is that a team can borrow six to eight players per season, three more than the same origin group. That's because a team - whose name has not leaked - seems to lent 146 Players from 2011 to 2017.
The current system has led to excessive spending on young players and violations of the integrity of the events, resulting in bad practices that may lead to exploitation of the players.
The transfer system has been turned into a speculative market. This is not fair for football clubs or amateur clubs that form the basis of professional sport. The new machine learning mechanisms operate in the direction of transparency and objectivity, the report said.