RouteCost Framework Improves E-commerce Shipping Cost Estimation

Accurate shipping cost estimation before an order is placed is crucial for e-commerce businesses, impacting pricing, profit margins, and customer conversion rates. Traditional methods often fall short because shipping costs are influenced by many dynamic factors beyond simple distance, such as destination demand patterns, billable weight, dimensional pricing, surcharges, and the efficiencies gained from shipment consolidation. To address these complexities, the RouteCost framework proposes a multi-stage approach. It begins with time-aware demand forecasting, followed by baseline pricing informed by fee cards. A second stage applies residual correction, and finally, it infers box consolidation using proxy data. These route-level estimates are then aggregated to provide precise product-level shipping cost predictions. The framework demonstrated significant improvements in predictive accuracy and overall calibration across a large dataset of orders, products, and historical data, while also maintaining interpretability at the route level.