Part 3/13:

Real-World Use Case: Personalized Retail Recommendations

Tapus illustrates the power of the contextual layer through a retail client project focused on personalized recommendations and targeted ads. The core challenge was unifying diverse data sources—point-of-sale systems, digital and physical stores, demographic profiles—to create an enriched, semantic understanding of customer data.

The process involved:

• Data Integration: Collecting data in a staging layer from multiple sources.

• Building the Contextual Layer: Gathering metadata, embeddings, semantic tags, and knowledge graph information.

• Storage Solutions: Using vector databases, knowledge graphs, feature stores, and traditional warehouses.