Read more here → https://mdb.link/hn1ylpNVDTY-beni Finding the perfect secondhand item shouldn't be a chore. Beni is a specialized search engine designed to help shoppers discover resale alternatives and brands without the traditional time-consuming "hunt." With a massive catalog of over 300 million listings and a daily influx of 1 million new items, Beni represents 90% of the US inventory for apparel and accessories. Beni replaces a fractured tech stack with MongoDB to scale 300M+ items, cutting costs by 20% and boosting clickthroughs by 43%. In this video, learn how Beni optimized their infrastructure by migrating to MongoDB. Discover how moving away from separate databases to a unified vector and catalog data store allowed them to scale endlessly, simplify their ETL pipelines, and deliver real-time, personalized search results based on user preferences like size and color. Visit the MongoDB for Developers YouTube Channel: https://www.youtube.com/@MongoDBDevelopers 00:00:00 Solving the "Time-Consuming" Problem of Secondhand Shopping 00:00:16 Introducing Benny: The US Resale Search Engine 00:00:32 The Challenge of Managing a 300M+ Item Catalog 00:01:03 Why Benny Migrated to MongoDB for a Unified Data Store 00:01:31 Delivering Personalized, Real-Time Hybrid Search 00:02:03 Why MongoDB is the Best Partner for E-commerce Innovation Sign-up for a free cluster → https://www.mongodb.com/cloud/atlas/register Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the Developer Blog → https://mdb.link/developerblog MongoDB for Developers YouTube Channel → https://www.youtube.com/@MongoDBDevelopers

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