The project involves the study, mapping and analysis of end-to-end quality parameters in the Tetra Pak production process; and system development for the fill rate computation, analysis, visualization and optimization in Tetra Pak supply chain management process. In this project, the aim was to develop an intelligent software system for end-to-end quality parameter mapping using artificial intelligence and advanced data mining methods. In addition to the end-to-end quality mapping, the proposed system also enables visualization of process flow and suggest quality control improvements.