📚 Solution overview → https://mdb.link/Hi3LmPIImkk-solution-doc 📄 ODL White Paper → https://mdb.link/Hi3LmPIImkk-odl How do you recommend the right product—without losing customer trust or business goals? In this video, we explore Brand Amplification: a smarter way to align customer intent with business strategy. You’ll see how AI-powered search helps store associates meet customer needs, while managers define brand priorities — all dynamically re-ranked in real time using MongoDB’s Aggregation Framework. We use a single view of data (ODL) as the core architecture, leveraging the document model to optimize workload performance. All of this runs on the operational backbone of MongoDB as a modern data platform — built for scale, flexibility, security, and real-time intelligence. MongoDB makes this possible by unifying data, search, and AI into a single operational platform. 📺 Unified Commerce & ODL → https://youtu.be/UqytWvvB0pQ?si=mhI4ux0dJWTHgwTj&t=195 🧑‍💻 GitHub Repo → https://github.com/mongodb-industry-solutions/retail-unified-commerce/tree/main/backend/advanced-search-ms 📺 Search Strategy in MongoDB → https://youtu.be/_fvIURcJl44?si=DzfSC3mrAo-kSNsl 00:00 – Why Brand Amplification Matters in Today’s Saturated Market 00:53 – Introducing the Demo Solution 01:57 – Store Roles in Action: Search + Brand Priorities Working Together 03:54 – Behind the Scenes: Data Architecture & Workload-Based Modeling 06:04 – Application Layer Flow 06:50 – Dynamic Re-Ranking in Advanced Search with MongoDB 08:05 – MongoDB’s Operational Backbone 08:37 – Food for Thought Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the Developer Blog → https://mdb.link/developerblog

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