
Marketplace
AI-Based Recommendation Engine
Challenge
Heuristic ranking capped GMV and obscured fairness; offline models drifted quickly vs. seasonal inventory.
Approach
Two-stage retrieve-then-rank pipeline with embeddings, contextual bandits for exploration, fairness constraints, real-time inventory filters, and automated offline/online evaluation harness.
Stack
Results
- +14.3% incremental GMV in masked holdout regions vs. control
- Cold-start listings median impressions +37% first week post-publish









