Personalizing Product Discovery: How MongoDB Powers Brand Amplification

Описание: 📚 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

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