Low- or unskilled labour is prevalent in the logistics sector, which simultaneously faces an acute shortage of skilled workers. As part of the RessourcE joint research project, we explore how to identify and promote the potential of employees in such roles. We present a concept for an AI-based tool that analyses competency profiles to predict employee development potential. This tool aims to support companies in recognizing individuals suited for broader responsibilities or career advancement. We also address implementation challenges and propose evidence-based solutions derived from a needs and requirements analysis. Our findings are grounded in early-stage experiments using synthetic human resource (HR) datasets and large language models.