A machine learning model analyzes historical bid data from all relevant salvage platforms. Based on vehicle characteristics such as class, manufacturer, age, mileage, and replacement value, the model predicts which platform will yield the highest bid for a specific vehicle.

In practice, this means: instead of defaulting to a single platform, each vehicle is assessed individually. When prediction confidence is high, the best platforms are targeted. When uncertain, the full range is used. The result is intelligent routing that minimizes costs and maximizes returns.