Product categories are the structural backbone for most web stores. In order to attract customers and facilitate navigation, categories need to be easily understandable, logical and consistent. With the explosive growth of data, it is becoming more and more difficult for retailers to match products to appropriate categories, and large product catalogs as well as the need to quickly adapt to changes often lead to costly misclassifications. In this talk – recorded at the code.talks commerce special in Berlin – machine learning expert Amadeus Magrabi presents the approach at commercetools to automate this process by using methods from machine learning and artificial intelligence.
Download the presentation slides.