Technology-based piloting for the automated assignment of products to the category tree
Case Study
Goals
The primary goal of the project is the development and implementation of a technology-based approach for the automatic and correct categorization of the category tree. The existing category tree is to be tidied up and newly listed products are to be automatically sorted correctly. This approach is intended to create a system that reduces the manual subsequent work of checking and tidying up and increases accuracy. The long-term goal is a permanently tidy category tree that also correctly records newly listed items without changing sales processes of the sellers.
Solution
The basic idea for the solution is based on the idea that category trees record and structure products by similarity. The technology for the solution therefore relies on product vectors to capture and compare product descriptions in a technological and automated way. A configurable system makes it possible to define the desired degree of similarity of products at category tree level, enabling iterative improvements. The first prototype version has already reduced incorrect categorization by over 50%, with the possibility for further iterations and optimizations. This system can be implemented as an internal tool or as an externally outsourced product.
Results
The technology-based approach can drastically reduce incorrect product categorizations, which leads to a significant increase in findability and thus to an increase in sales. The ability to operate the system either internally or externally gives Rakuten flexibility in implementation and scaling.