Predicting Order Cancellations and Returns in E-Commerce
A short overview of modeling cancellations and returns with practical features and deployment considerations.
Key points
- Signals: customer history, shipping, payment, inventory
- Labels: cancellations vs returns vs exchanges
- Deployment: thresholds, interventions, and monitoring