This tool aims to simulate the degradation of textiles under various environmental conditions, such as relative humidity, temperature and light exposure. It is built around two complementary modeling approaches: a forward model, which predicts how degradation evolves over time based on known conditions and an inverse model, which infers possible past environmental exposure from observed degradation data. The system operates on material-specific behavior, using 3D object representations when available and appropriate. Inputs include textile type (e.g., cotton, wool, silk), sensor data from WP4 and degradation metrics gathered from existing literature and experimental results. When real environmental data is missing, the model can rely on predefined baseline scenarios informed by conservation standards. Ongoing work focuses on defining the data structures for simulation, analyzing reference degradation curves and identifying practical decision-making scenarios where conservators could benefit from comparative insights. The resulting module is expected to support comparative assessments for example, estimating damage differences under two imperfect environmental conditions which was a key need identified during early stakeholder feedback.