Case Study: Lyst achieves better fashion search and filtering with Grinteq

Lyst streamlines search across 27,000+ brands with Grinteq

The customer, Lyst, a global fashion aggregator connecting over 27,000 brands, faced the challenge of scaling and enhancing its sophisticated search and filtering system to better navigate a vast catalog of 200M+ SKUs for millions of users. They tasked the vendor, Grinteq, with optimizing product taxonomy and improving navigation without compromising the stability of their complex, legacy architecture.

Grinteq implemented a solution centered on extensive A/B testing, backend development in Python, and frontend work in React.js. They integrated new filtering algorithms, created dynamic attribute sections, and expanded color filters, all while ensuring secure deployment into the existing microservices. This project successfully improved search relevance and user experience, leading to a positive impact on conversion rates while maintaining high platform stability for Lyst's 160 million shoppers.

Lyst