# Adaptive Ecommerce Personalization

Improved ecommerce engagement and conversion using real-time reinforcement learning–based personalization.

## Key Takeaways:

- **Real-Time Relevance:** Utilized RAG frameworks and Generative AI personas to contextualize user intent and deliver meaningful recommendations.

- **Conversion Growth:** Validated that dynamic session-level decisioning translates into a 15-20% lift in conversion accuracy.

- **Architectural Validation:** Confirmed that local LLMs can maintain data privacy and reduce operational costs while achieving high groundedness and faithfulness scores.

### Reinforcement Learning Architectures Drive Real-Time Conversion Lift

**Static product recommendations act as a hidden bottleneck in e-commerce growth, failing to capture the real-time evolution of customer intent.** Transitioning from rigid, pre-calculated lists to adaptive personalization allows recommendations to evolve as fast as the user's live session behavior.

### Remediating Engagement Decay Without System Disruption

The retailer’s existing system had access to less than half of the common product information and lacked the context of a shopper’s cart or purchase history. The mandate was to optimize session-level decision-making across digital channels without disrupting existing infrastructure.

### Architecture: Semantic Personalization

We designed a solution combining a leading LLM with **Retrieval-Augmented Generation (RAG)** to anchor the model to the retailer's proprietary data.

- **Technical Components:**

- **Hybrid Search:** Implemented a **hybrid similarity-search endpoint to retrieve context from a vector database using** numeric representations of scientific text.
  - **LLM-as-Judge:** Evaluated RAG pipelines using other LLMs to score **groundedness** and **faithfulness** (achieving 4.5/5).

### Continue Reading

### [Governed Metrics for AI](/content/case-studies/semantic-layer-enterprise-metrics/index.html)

Single logic across every interface

### [Compliance Reporting](/content/case-studies/compliance-reporting/index.html)

Reporting automated

### [Audience Segmentation](/content/case-studies/audience-segmentation/index.html)

Targeting efficiency improved.