Use case in production
Product matching at scale
Senior Applied Scientist, Zalando
After a decade of research and code development in quantum physics, Dr. Sándor Tóth works on data science problems at Zalando. Currently he is building a fashion product matching solution.
Product matching is a key capability in e-commerce and online marketplaces with major use cases in product deduplication and competitive intelligence. Matching fashion products is especially challenging, due to the lack of unique identifiers typically found in other product categories. Here we show how we built an end to end product matching system for Zalando using the help of Zalando internal ML ops tooling.