Case Study: Vestiaire Collective scales sustainable fashion with MongoDB Atlas

Vestiaire Collective doubles sales with MongoDB Atlas

Vestiaire Collective, a global e-commerce platform for pre-loved fashion, faced significant challenges scaling its technology infrastructure to support rapid growth. The increased volume of users, product listings, and purchases led to delays and a slower customer experience. Their legacy data platform was inflexible and could not provide the real-time performance required, hindering their goal of becoming a true tech-led fashion brand. This prompted them to seek a modern database solution from vendor MongoDB.

Vestiaire Collective migrated five core projects, including its product catalogue and social newsfeed, to MongoDB Atlas. The solution provided a flexible, scalable document database that eliminated downtime and freed developers from infrastructure management. The results were immediate, with MongoDB Atlas proving to be significantly cheaper and more energy-efficient, helping reduce their carbon footprint. The platform now seamlessly handles approximately 17,000 new products daily, which contributed to the company doubling its sales in 2020.

Vestiaire Collective

Sardorbek Pulatov

Head of Engineering, Vestiaire Collective