Product matching, the ability to match the same product sold by multiple retailers, is pivotal to the advancement of retail.
EDITED’s retail decision platform analyzes over 2 billion products online, adding more than half a million every week. Due to the sheer size of our database system, there’s an inherent challenge presented when attempting to match the same product across multiple retailers. Former Astrophysicist and current Data Scientist at EDITED, Rosie explores a machine learning approach to providing accuracy and scalability on product matching through EDITED’s retail decision platform.
Find the original article published on Towards Data Science here.
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