Case Study: Beni achieves 40% sales growth with MongoDB Atlas

Beni boosts sales by 40% with MongoDB Atlas

Beni, a second-hand fashion search platform, faced the challenge of managing a massive, fragmented catalog of over 300 million listings that refreshed daily. Their fractured data architecture, which used a separate vector database and a MongoDB instance, created synchronization issues, hampered innovation, and led to unsustainable infrastructure costs. They needed a unified solution to handle their complex data and scale affordably.

By unifying its entire data environment on MongoDB Atlas, Beni consolidated its vector embeddings, product catalog, and user engagement data into a single platform. This solution from MongoDB streamlined operations, enabled powerful hybrid search, and provided robust sharding for limitless scaling. The results included a 20% reduction in monthly infrastructure costs, a 43% improvement in image search clickthrough rates, and a 30-40% increase in total sales.

Beni