This paper addresses large dies stitching challenges. Stitching is a way to combine several shots "stitched together" to create a die larger than what can fit on a photomask. This technique that was originally dedicated to advanced research is now more widely used and requires a fully automated industrial flow. Technical constraints come from a number of different actors and results must be shared by even more teams. We will present the methodology used to optimize both the yield and the data exchange between cross-functional teams. We will show how this automated flow can be easily customized to save more silicon thanks to advanced dicing techniques.