In this talk, we will begin with an overview of the P&D sector, the Strategy team, and the ongoing research projects. Next, we delve into planning use cases, where we apply data science methods to support critical decision-making processes. These include a digital twin of our new-build supply chain for assessing buffer and capacity strategies, the application of deep reinforcement learning for optimizing inventory planning policies, and the development of a simulation model and optimization methodology to improve production order release planning for complex modules.