New Retail
Smart Retail Recommendation Engine
Client: A Well-known FMCG Brand
45%
Conversion
User click and purchase intent enhanced
+20%
AOV
Cross-selling via associated recommendations
<50ms
Response
Millisecond support for high concurrency
Challenge
"Large online traffic but low conversion, manual recommendation cannot achieve individual personalization."
Solution
Deep reinforcement learning recommendation system, integrating history, real-time path and inventory.
Core Features & Tech
- User Profiling
- Dynamic Weight Adjustment
- High Concurrent Gateway
- Auto A/B Testing