The efficient allocation of steel slabs that do not meet primary sales specifications is a critical factor in steel manufacturing, directly impacting overall metallurgical yield, storage duration (aging), and operational process efficiency. This technical paper details the development and implementation of an advanced automatic slab allocation model at the AM Pecém plant. Resulting from a multidisciplinary collaboration between the Metallurgy and Information Technology (IT) departments, the solution employs computational logic to optimize material movement, significantly reduce the allocation cycle, and increase overall productivity. Integrated with the MES system, the new model executes automated allocation routines every 12 hours, prioritizing sales orders that maximize the added value of reallocated material and minimize losses due to scrap.