Case Study: Sporting Insights scales product categorization with Lambert Labs' AWS generative AI pipeline

Sporting Insights reduces manual categorization by 95%+ with Lambert Labs

Sporting Insights, a premier data and market research firm, faced a critical bottleneck as its reliance on manual product categorization became unsustainable with the growth of its datasets to millions of items. To sustain its competitive advantage, the company partnered with Lambert Labs to build a production-ready, AI-powered categorization pipeline on AWS.

Lambert Labs implemented a high-scale, event-driven solution leveraging Amazon Bedrock for generative AI categorization, integrated with AWS Batch and AWS Fargate for serverless compute. This automated pipeline enabled Sporting Insights to categorize 600,000 products and process 2 million EANs, achieving a 95%+ reduction in time spent on manual tasks and providing a robust, scalable foundation for future data growth.

Sporting Insights