The document analyzes material consumption data from several products to determine optimal inventory levels. Statistical analysis techniques like histograms, moving averages, and trend normalization are used to filter out anomalies and identify trends. Consumption data is gathered from work orders, averaged for different time periods, and distributions are analyzed to set inventory targets based on a desired confidence level. Key metrics like average consumption, standard deviation, and tolerance levels are calculated for each material.