Personalizing Product Discovery: How MongoDB Powers Brand Amplification скачать в хорошем качестве

Personalizing Product Discovery: How MongoDB Powers Brand Amplification

📚 Solution overview → https://mdb.link/Hi3LmPIImkk-solution... 📄 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 →    • Why Modern Retail Needs Unified Commerce N...   🧑‍💻 GitHub Repo → https://github.com/mongodb-industry-s... 📺 Search Strategy in MongoDB →    • Build Unified Commerce: Real-Time Inventor...   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