In-warehouse picking optimization, picking time forecasting and routing. Outbound network design, truck scheduling.

• Led research and development for pricing and promotions engine, utilizing causal inference and deep learning to improve gross profit margin for local supermarket business on Taobao and Ele App.

• Led supply chain algorithm team to enhance auto-replenishment algorithms for Tmall B2C sector, utilizing tree-based models and deep learning for demand forecasting.

• Guided the development of recommendation algorithms for Tmall Supermarket online shopping, upgrading tech stack to deep learning attention models for improved performance.

• Developed algorithms for shopping cart and item page recommendation using logistic regression and item-based collaboration filtering to increase revenue per user by 40%.

• Built customer lifetime value prediction and uplift models to enhance user campaign efficiency, resulting in a 9% improvement in coupon distribution ROI.

• Trained a CNN model for AR campaign, optimized the model using distillation and deployed it to cellphones for fast inference.

Solver engine for demand replenishment planning