Supply chain analytics
The challenge: Our customer bought identical or very similar products at substantially different price points in different markets.
The solution: Automatic gathering of product information, text analysis and product classification/metadata.
Technologies: Java, deep learning, natural language processing, classification, entity resolution, web scraping.
Results: Matching 13,000 products across the different markets, we identified an estimated annual saving of £17.5 million.