Analysis and correction of supply chain design through machine learning

A system comprising:

• a processor;
• and
• a memory storing instructions that, when executed by the processor, configure the system to:
• receive, by a data preparation module, historical lead time data from a database;
• augment, by the data preparation module, the historical lead time data with one or more features;
• separate, by the data preparation module, the historical lead time data into one or more groups based on a time density of data points of the historical lead time data;
• select, by a machine learning clustering module, an optimal number of clusters for each of the one or more groups;
• and
• perform, by the machine learning clustering module, clustering on each of the one ore more groups to provide a plurality of clusters.