The document describes a Python script that can automatically generate new subcategories for an ecommerce website based on clustering product names. It discusses:
- Using NLTK to generate n-grams from product names to cluster related products
- Filtering the n-grams to keep only those with commercial value by checking for search volume and CPC data
- Running the script on a large home improvement site to identify over 1,650 new subcategory opportunities with a total search volume of over 13 million
- Sharing the script so others can automate subcategory identification for their own sites to scale up an important SEO tactic.