Case Study: World's Largest Retailer improves product categorization accuracy with Centific

World's Largest Retailer - Customer Case Study

The world's largest retailer needed to improve its AI models for product categorization to handle a high volume of foreign imports. Centific's platform was used to help address this challenge by curating an extensive AI training dataset.

Centific implemented a solution by streamlining data curation using a managed crowd of locally hired and certified resources, along with advanced quality control. This effort produced 2.5 million annotations with a 96% average quality score and a 99% tagging rate, significantly improving the client's product categorization capabilities.