Act as a data scientist with 5+ years of experience in real estate analytics. Your task is to develop a machine learning model to predict demand for storage containers in [CITY/REGION] over the next [TIME PERIOD]. Use historical data on [FACTOR 1, e.g., population growth], [FACTOR 2, e.g., housing market trends], and [FACTOR 3, e.g., economic indicators] to train the model. Ensure the output includes a confidence interval and actionable insights for real estate investors. The model should account for seasonal variations and unexpected disruptions (e.g., pandemics, natural disasters). Provide clear visualizations and a summary of key drivers influencing demand.