Bulk Matching Products By Description
Testing out product clustering methods using python and numpy to speed up the process.
Discover how KVCI reduces webscraping development time through generalized data extraction and robust matching logic for complex catalogs.
Testing out product clustering methods using python and numpy to speed up the process.
Matching product descriptions using python and regex to find the most similar products
House prices appear to be falling, we want to know by how much in real time.
Figuring out how to normalise seasonal sales data to form better risk analysis.
Products can have varying dimensions and weights in their descriptions, we try to figure out how to normalise it.
Testing whether modern LLMs can displace legacy scraping pipelines for structured product extraction and where they still fall short.
How automated crawlers produce market-level signals for agents and investors.