Mini-project
Retail, E-commerce & Consumer Goods
Order return and cancellation predictor
Predict which orders will be cancelled or returned, and explain the main reasons.
The brief
Returns and cancellations eat into an online seller's margin. Predict which orders are likely to be cancelled or returned from product, size, channel and customer details, handle the imbalance, and explain the main reasons. Good looks like: metrics suited to imbalance, explanations per order, and practical suggestions to reduce returns.
What you will build
- Define the return or cancellation outcome
- Engineer order and product features
- Train gradient boosting with imbalance handling
- Evaluate with recall and precision
- Explain reasons with SHAP and suggest fixes
Free, open data to build it with
Check each dataset's licence before you publish your work. Your mentor gives your team its own version of the brief (data, scope or region), so every team's project is its own.