Predictive returns forecasting automates the costly, reactive scramble to manage inbound volumes by projecting future returns by SKU and region. This workflow ingests historical returns, sales velocity, promotional calendars, and external signals like weather or economic indices to generate probabilistic volume forecasts. The operational upside comes from pre-positioning labor, allocating warehouse capacity, and optimizing reverse logistics networks before returns arrive, directly reducing expedited handling costs and improving asset recovery cycles.




