Case Study: MercadoLibre achieves faster, more efficient product categorization with Tryolabs

MercadoLibre cuts item categorization costs by 80% with Tryolabs

MercadoLibre, the largest online retailer in Latin America, faced a challenge in efficiently organizing the vast product catalog on its e-commerce platform. The company was spending a considerable amount of time and effort managing its category tree and sought a solution to automate the product categorization process. They engaged the vendor Tryolabs to explore a machine learning solution.

Tryolabs implemented a supervised learning model to classify products automatically. The solution was developed in stages, involving research, data analysis, and deploying the model into production with an API. This approach from Tryolabs led to an 80% reduction in the cost of item categorization and increased the team's throughput by 27%, making the category management process much more efficient.

MercadoLibre